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add observability #98

Merged
merged 217 commits into from
Feb 11, 2025
Merged

add observability #98

merged 217 commits into from
Feb 11, 2025

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dudizimber
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@dudizimber dudizimber commented Feb 11, 2025

User description

fix #94


PR Type

Enhancement, Configuration changes, Dependencies, Other


Description

  • Introduced extensive enhancements to both GCP and AWS infrastructure, including VPC, GKE, S3, and Kubernetes observability configurations.

  • Added multiple Terraform lock files to ensure consistent provider versions and constraints across various modules.

  • Configured Terraform backends for both GCS and S3 to manage state files effectively.

  • Added numerous Grafana dashboards for monitoring Kubernetes clusters, namespaces, and specific applications like FalkorDB.

  • Introduced Prometheus alerting rules for Kubernetes applications, resources, and Alertmanager monitoring.

  • Added ArgoCD configurations for deploying VictoriaMetrics and other observability components.

  • Defined and updated variables and provider configurations for both GCP and AWS modules.

  • Included a script to automate cluster setup for GCP and AWS, streamlining deployment processes.

  • Removed outdated workflows and consolidated infrastructure configurations.


Changes walkthrough 📝

Relevant files
Dependencies
5 files
.terraform.lock.hcl
Add Terraform lock file for GCP Kubernetes control plane.

tofu/gcp/observability_stack/control_plane/k8s/.terraform.lock.hcl

  • Added a Terraform lock file for GCP control plane Kubernetes.
  • Defined provider versions and constraints for Google, Helm,
    Kubernetes, TLS, and GitHub.
  • Included hash values for provider verification.
  • +97/-0   
    .terraform.lock.hcl
    Add Terraform lock file for GCP infrastructure.                   

    tofu/gcp/observability_stack/control_plane/infra/.terraform.lock.hcl

  • Added a Terraform lock file for GCP infrastructure.
  • Defined provider versions and constraints for Google and Google-beta.
  • Included hash values for provider verification.
  • +74/-0   
    .terraform.lock.hcl
    Add Terraform lock file for AWS bootstrap.                             

    tofu/aws/1-bootstrap/.terraform.lock.hcl

  • Added a Terraform lock file for AWS bootstrap.
  • Defined provider versions and constraints for AWS and Random.
  • Included hash values for provider verification.
  • +37/-0   
    .terraform.lock.hcl
    Add Terraform lock file for AWS application plane.             

    tofu/aws/3-application_plane/.terraform.lock.hcl

  • Added a Terraform lock file for AWS application plane.
  • Defined provider versions and constraints for AWS and Random.
  • Included hash values for provider verification.
  • +37/-0   
    .terraform.lock.hcl
    Add Terraform lock file for AWS organization.                       

    tofu/aws/2-org/.terraform.lock.hcl

  • Added a Terraform lock file for AWS organization.
  • Defined provider versions and constraints for AWS.
  • Included hash values for provider verification.
  • +20/-0   
    Enhancement
    17 files
    main.tf
    Configure GCP infrastructure with VPC, GKE, and storage. 

    tofu/gcp/observability_stack/control_plane/infra/main.tf

  • Defined local IP ranges for subnets, pods, and services.
  • Configured Google provider and VPC module with subnets and secondary
    ranges.
  • Added resources for NAT, router, GKE cluster, and storage bucket.
  • Configured GKE node pools and reserved IP for Grafana.
  • +225/-0 
    main.tf
    Configure AWS application plane with S3 and policies.       

    tofu/aws/3-application_plane/main.tf

  • Configured AWS organizational unit and child accounts.
  • Defined S3 buckets for CloudTrail and access logs with policies.
  • Added Random bytes resource for unique suffix generation.
  • +120/-0 
    main.tf
    Configure Kubernetes and Helm for GCP observability.         

    tofu/gcp/observability_stack/control_plane/k8s/main.tf

  • Configured Kubernetes and Helm providers for GCP.
  • Added GitHub repository and deploy key resources.
  • Deployed ArgoCD Helm chart and observability namespace.
  • +88/-0   
    main.tf
    Configure AWS bootstrap with S3 bucket and organizational unit.

    tofu/aws/1-bootstrap/main.tf

  • Configured AWS provider and organizational unit.
  • Created S3 bucket for Terraform state with versioning and object lock.
  • Added Random ID resource for unique bucket naming.
  • +58/-0   
    main.tf
    Configure AWS organization with workloads and accounts.   

    tofu/aws/2-org/main.tf

  • Created AWS organizational unit for workloads.
  • Added account resource with lifecycle ignore changes for role name and
    name.
  • +20/-0   
    outputs.tf
    Add outputs for GCP infrastructure resources.                       

    tofu/gcp/observability_stack/control_plane/infra/outputs.tf

  • Added outputs for GKE cluster endpoint, certificate, and name.
  • Included output for metrics storage bucket.
  • +17/-0   
    outputs.tf
    Add output for AWS organizational unit ID.                             

    tofu/aws/1-bootstrap/outputs.tf

    • Added output for AWS organizational unit ID.
    +3/-0     
    add_cluster.sh
    Add script for automated cluster setup on GCP and AWS.     

    scripts/add_cluster.sh

  • Added a script to automate cluster setup for GCP and AWS.
  • Included prompts for user input and validation.
  • Configured ArgoCD, namespaces, and secrets.
  • +154/-0 
    prometheus-dashboard.json
    Add Grafana dashboard for Prometheus monitoring.                 

    observability/grafana/dashboards/prometheus-dashboard.json

  • Added a Grafana dashboard JSON for Prometheus monitoring.
  • Included panels for CPU, memory, storage, and network metrics.
  • Configured templating and time settings.
  • +1428/-0
    kubernetes-apps.rules.yml
    Add Prometheus alerting rules for Kubernetes applications.

    observability/rules/kubernetes-apps.rules.yml

  • Added Prometheus alerting rules for Kubernetes applications.
  • Included alerts for pod readiness, deployment mismatches, and HPA
    issues.
  • Configured severity levels and runbook URLs.
  • +250/-0 
    victoriametrics.yaml
    Add ArgoCD ApplicationSet for VictoriaMetrics deployment.

    argocd/app_plane/dev/victoriametrics.yaml

  • Added ArgoCD ApplicationSet for VictoriaMetrics deployment.
  • Configured Helm chart values for observability stack.
  • Included PagerDuty integration and resource node selectors.
  • +136/-0 
    cluster-overview.json
    Added Grafana dashboard for Kubernetes cluster monitoring.

    observability/grafana/dashboards/cluster-overview.json

  • Added a comprehensive Grafana dashboard configuration for Kubernetes
    clusters.
  • Includes multiple panels for monitoring CPU, memory, network, and
    Kubernetes resources.
  • Introduced templating for dynamic data sources and cluster/job
    selection.
  • Configured various visualizations such as timeseries, stat, and
    bargauge panels.
  • +3527/-0
    alertmanager.rules.yml
    Added Alertmanager monitoring rules for critical alerts. 

    observability/rules/alertmanager.rules.yml

  • Introduced alerting rules for Alertmanager monitoring.
  • Added alerts for configuration reload failures, cluster
    inconsistencies, and notification failures.
  • Defined severity levels and runbook URLs for each alert.
  • Included expressions to monitor Alertmanager cluster health and
    crashlooping.
  • +134/-0 
    kubernetes-resources.rules.yml
    Added Kubernetes resource monitoring alert rules.               

    observability/rules/kubernetes-resources.rules.yml

  • Added alerting rules for Kubernetes resource monitoring.
  • Included alerts for CPU and memory overcommitment and quota usage.
  • Defined thresholds for warnings and critical alerts.
  • Added rules for monitoring CPU throttling and namespace resource
    quotas.
  • +114/-0 
    podowner.rules.yml
    Added pod owner mapping rules for Kubernetes workloads.   

    observability/rules/podowner.rules.yml

  • Added rules to map Kubernetes pods to their respective owners.
  • Included support for deployments, daemonsets, statefulsets, and jobs.
  • Utilized label replacement for accurate workload identification.
  • Recorded relabeled metrics for namespace and workload association.
  • +63/-0   
    namespace-overview.json
    Added Kubernetes Namespace Overview Grafana Dashboard.     

    observability/grafana/dashboards/namespace-overview.json

  • Added a new Grafana dashboard for Kubernetes namespaces overview.
  • Includes panels for CPU, memory, and resource usage metrics.
  • Configured Prometheus as the data source with multiple queries.
  • Introduced templating for dynamic filtering by namespace, cluster, and
    resolution.
  • +2754/-0
    falkordb-cloud.json
    Added FalkorDB Monitoring Grafana Dashboard.                         

    observability/grafana/dashboards/falkordb-cloud.json

  • Added a new Grafana dashboard for FalkorDB monitoring.
  • Includes panels for uptime, memory usage, network I/O, and command
    statistics.
  • Configured Prometheus as the data source with specific metrics.
  • Introduced templating for filtering by namespace and pod.
  • +1155/-0
    Configuration changes
    15 files
    variables.tf
    Add variables for GCP Kubernetes configuration.                   

    tofu/gcp/observability_stack/control_plane/k8s/variables.tf

  • Defined variables for GCP project, region, cluster, and GitHub
    settings.
  • Added validation for environment variable.
  • +39/-0   
    variables.tf
    Add variables for AWS application plane configuration.     

    tofu/aws/3-application_plane/variables.tf

  • Defined variables for AWS workloads, application plane, and CloudTrail
    settings.
  • Included default values and descriptions.
  • +26/-0   
    providers.tf
    Add provider configurations for GCP Kubernetes.                   

    tofu/gcp/observability_stack/control_plane/k8s/providers.tf

  • Defined required providers for Google, Helm, Kubernetes, TLS, and
    GitHub.
  • Specified provider versions and sources.
  • +24/-0   
    variables.tf
    Add variables for AWS bootstrap configuration.                     

    tofu/aws/1-bootstrap/variables.tf

  • Defined variables for AWS organizational unit and account creation.
  • Included descriptions for each variable.
  • +26/-0   
    variables.tf
    Add variables for AWS organization configuration.               

    tofu/aws/2-org/variables.tf

  • Defined variables for AWS workloads organizational unit and
    application plane account.
  • Included descriptions for each variable.
  • +19/-0   
    providers.tf
    Add provider configuration for GCP infrastructure.             

    tofu/gcp/observability_stack/control_plane/infra/providers.tf

    • Defined required provider for Google with version constraints.
    +8/-0     
    providers.tf
    Add provider configuration for AWS bootstrap.                       

    tofu/aws/1-bootstrap/providers.tf

    • Defined required provider for AWS with version constraints.
    +8/-0     
    backend.tf
    Add S3 backend configuration for AWS bootstrap.                   

    tofu/aws/1-bootstrap/backend.tf

    • Configured Terraform backend for S3.
    +9/-0     
    variables.tf
    Add variables for GCP infrastructure configuration.           

    tofu/gcp/observability_stack/control_plane/infra/variables.tf

    • Defined variables for GCP project ID and region.
    +7/-0     
    backend.tf
    Add GCS backend configuration for GCP Kubernetes.               

    tofu/gcp/observability_stack/control_plane/k8s/backend.tf

    • Configured Terraform backend for GCS with prefix.
    +5/-0     
    backend.tf
    Add GCS backend configuration for GCP infrastructure.       

    tofu/gcp/observability_stack/control_plane/infra/backend.tf

    • Configured Terraform backend for GCS with prefix.
    +5/-0     
    backend.tf
    Add S3 backend configuration for AWS application plane.   

    tofu/aws/3-application_plane/backend.tf

    • Configured Terraform backend for S3.
    +5/-0     
    backend.tf
    Add S3 backend configuration for AWS organization.             

    tofu/aws/2-org/backend.tf

    • Configured Terraform backend for S3.
    +5/-0     
    victoriametrics.yaml
    Added ArgoCD Configuration for VictoriaMetrics Deployment.

    argocd/ctrl_plane/dev/victoriametrics.yaml

  • Added ArgoCD application configuration for VictoriaMetrics.
  • Configured Helm chart values for VictoriaMetrics components.
  • Enabled specific features like vmauth with TLS and internal load
    balancer.
  • Added sync policies and ignore differences for specific resources.
  • +152/-0 
    kustomization.yaml
    Added Kustomize Configuration for Grafana Dashboards.       

    observability/grafana/kustomization.yaml

  • Added Kustomize configuration for Grafana dashboards.
  • Configured ConfigMap generation for multiple dashboards.
  • Included annotations and labels for Grafana folder organization.
  • +34/-0   
    Formatting
    1 files
    main.tf
    Minor formatting adjustment in GCP bootstrap module.         

    tofu/gcp/bootstrap/seed_project/main.tf

    • Adjusted formatting in the bootstrap module configuration.
    +1/-1     
    Additional files
    65 files
    gcp-full-infra-test-apply.yaml +0/-165 
    gcp-full-infra-test-plan.yaml +0/-81   
    testing-apply-aws-infra.yaml +0/-181 
    testing-plan-aws-infra.yaml +0/-108 
    README.md +23/-22 
    README +17/-0   
    alloy.yaml +317/-0 
    applicationset.yaml +33/-0   
    grafana-dashboards.yaml +44/-0   
    grafana-operator.yaml +37/-0   
    ksm.yaml +36/-0   
    grafana-datasource.yaml +20/-0   
    grafana.yaml +51/-0   
    podmonitor.yaml +16/-0   
    vmrules.yaml +33/-0   
    alloy.yaml +302/-0 
    certmanager.yaml +25/-0   
    grafana-dashboards.yaml +21/-0   
    grafana-operator.yaml +26/-0   
    ksm.yaml +25/-0   
    kubernetes-secret-generator.yaml +25/-0   
    kustomization.yaml +8/-0     
    string-secret.yaml +11/-0   
    vmuser.yaml +17/-0   
    manifests.yaml +28/-0   
    grafana-datasource.yaml +20/-0   
    grafana-managed-certificate.yaml +7/-0     
    grafana.yaml +72/-0   
    letsencrypt-issuer.yaml +15/-0   
    vmauth-tls.yaml +9/-0     
    vmrules.yaml +22/-0   
    vmusers.yaml +56/-0   
    grafana-dashboards.yaml +72/-0   
    kustomization.yaml +5/-0     
    pod-overview.json +2494/-0
    vmauth.json +2576/-0
    containercpulimits.rules.yml +33/-0   
    containercpurequests.rules.yml +33/-0   
    containercpuusagesecondstotal.rules.yml +21/-0   
    containermemorycache.rules.yml +20/-0   
    containermemorylimits.rules.yml +33/-0   
    containermemoryrequests.rules.yml +33/-0   
    containermemoryrss.rules.yml +20/-0   
    containermemoryswap.rules.yml +20/-0   
    containermemoryworkingsetbytes.rules.yml +20/-0   
    general.rules.yml +48/-0   
    kube-state-metrics.rules.yml +60/-0   
    kubernetes-storage.rules.yml +105/-0 
    node-exporter.rules.yml +399/-0 
    node-network.rules.yml +21/-0   
    node.rules.yml +58/-0   
    prometheus-general.rules.yml +20/-0   
    prometheus-node-recording.rules.yml +36/-0   
    vm-health.rules.yml +109/-0 
    vmoperator.rules.yml +75/-0   
    vmsingle.rules.yml +121/-0 
    .terraform.lock.hcl +0/-110 
    providers.tf [link]   
    outputs.tf [link]   
    main.tf +0/-212 
    outputs.tf +0/-37   
    variables.tf +0/-36   
    README +12/-0   
    argocd.yaml +44/-0   
    argocd.yaml +44/-0   

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  • Check out the documentation for more information.
  • Summary by CodeRabbit

    • New Features

      • Enhanced observability with new dashboards and applications that provide richer insights and improved monitoring.
      • Introduced a script to streamline the addition and setup of clusters across cloud environments.
      • Added new Argo CD applications for managing observability stacks in both development and production environments.
    • Documentation

      • Added comprehensive guidelines on the new Observability Stack Control Plane, detailing its components and seamless integration with cloud services.
    • Chores

      • Refined infrastructure configurations across AWS and GCP and removed obsolete automation workflows to enhance reliability and efficiency.
      • Removed outdated GitHub Actions workflows for GCP and AWS infrastructure management.
      • Introduced new Terraform configurations and provider settings for improved infrastructure management on GCP.

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    PR Reviewer Guide 🔍

    Here are some key observations to aid the review process:

    🎫 Ticket compliance analysis ✅

    94 - PR Code Verified

    Compliant requirements:

    • Add observability stack for monitoring Kubernetes clusters and applications
    • Configure Grafana dashboards for monitoring
    • Set up Prometheus alerting rules
    • Configure infrastructure for both GCP and AWS
    • Enable metrics collection and storage
    • Deploy monitoring components via ArgoCD

    Requires further human verification:

    • Verify Grafana dashboards are working as expected
    • Test alerting rules in production environment
    • Validate metrics collection across clusters
    ⏱️ Estimated effort to review: 4 🔵🔵🔵🔵⚪
    🧪 No relevant tests
    🔒 Security concerns

    Metadata exposure:
    The GKE cluster configuration has disabled_legacy_metadata_endpoints set to false, which could allow unauthorized access to instance metadata. This could potentially expose sensitive information about the cluster and workloads.

    ⚡ Recommended focus areas for review

    Security Risk

    The GKE cluster has disabled_legacy_metadata_endpoints set to false, which could expose sensitive metadata. Consider enabling this security feature.

    disable_legacy_metadata_endpoints    = false
    
    Network Security

    The VPC CIDR range is marked as TODO to change to /24. This needs to be reviewed and properly configured for production use.

    // TODO: Change range to /24
    ip_range_subnet   = "172.16.0.0/20"
    

    Copy link

    qodo-merge-pro bot commented Feb 11, 2025

    Qodo Merge was enabled for this repository. To continue using it, please link your Git account with your Qodo account here.

    PR Code Suggestions ✨

    Explore these optional code suggestions:

    CategorySuggestion                                                                                                                                    Impact
    Security
    Enable S3 bucket encryption

    The S3 bucket for Terraform state should have encryption enabled by default to
    protect sensitive state data. Add server-side encryption configuration.

    tofu/aws/1-bootstrap/main.tf [31-35]

     resource "aws_s3_bucket" "terraform_state" {
       bucket = "tf-state-${random_id.suffix.hex}"
    -
    +  
       provider = aws.seed-account
     }
     
    +resource "aws_s3_bucket_server_side_encryption_configuration" "terraform_state" {
    +  bucket = aws_s3_bucket.terraform_state.id
    +  
    +  rule {
    +    apply_server_side_encryption_by_default {
    +      sse_algorithm = "AES256"
    +    }
    +  }
    +  
    +  provider = aws.seed-account
    +}
    +

    [To ensure code accuracy, apply this suggestion manually]

    Suggestion importance[1-10]: 9

    __

    Why: Adding server-side encryption is a critical security measure for protecting sensitive Terraform state data stored in S3. This is especially important for infrastructure state files that may contain secrets.

    High
    Possible issue
    Set required master CIDR block

    The master_ipv4_cidr_block is currently commented out with a TODO. This is a
    required field for private GKE clusters and should be set to avoid potential
    networking issues. Define a non-overlapping CIDR block for the master nodes.

    tofu/gcp/observability_stack/control_plane/infra/main.tf [129-130]

    -// TODO: Set master_ipv4_cidr_block
    -# master_ipv4_cidr_block               = local.ip_range_subnet
    +master_ipv4_cidr_block               = "172.16.64.0/28"

    [To ensure code accuracy, apply this suggestion manually]

    Suggestion importance[1-10]: 8

    __

    Why: Setting the master_ipv4_cidr_block is crucial for private GKE clusters to function properly. The suggestion provides a non-overlapping CIDR range that avoids conflicts with existing subnet ranges.

    Medium
    Validate PagerDuty API key format

    Add validation for the PagerDuty API key format before using it. An invalid API
    key could cause issues with alert notifications.

    scripts/add_cluster.sh [24]

     export PAGERDUTY_API_KEY=$(gum input --placeholder "Enter PagerDuty API Key")
    +if [[ ! $PAGERDUTY_API_KEY =~ ^[a-z0-9]{32}$ ]]; then
    +  echo "Error: Invalid PagerDuty API key format"
    +  exit 1
    +fi

    [To ensure code accuracy, apply this suggestion manually]

    Suggestion importance[1-10]: 8

    __

    Why: Adding validation for the PagerDuty API key format is crucial for preventing integration issues early. Invalid API keys could cause alert notification failures in production.

    Medium
    General
    Parameterize hardcoded datasource UIDs

    The dashboard configuration uses hardcoded datasource UIDs like
    "fe6kx1tpffym8a". These should be parameterized using variables to make the
    dashboard portable across different Grafana instances.

    observability/grafana/dashboards/cluster-overview.json [1100-1104]

     {
       "datasource": {
    -    "type": "prometheus",
    -    "uid": "fe6kx1tpffym8a"
    +    "type": "prometheus", 
    +    "uid": "${datasource}"
       },
    • Apply this suggestion
    Suggestion importance[1-10]: 8

    __

    Why: Using hardcoded datasource UIDs makes the dashboard less portable and harder to reuse across different Grafana instances. Parameterizing them with variables is a critical improvement for dashboard maintainability and reusability.

    Medium
    Add timeouts for account creation

    Add error handling for account creation by implementing a timeout and proper
    error handling mechanism to prevent hanging deployments.

    tofu/aws/2-org/main.tf [8-13]

     resource "aws_organizations_account" "account" {
       name              = var.app_plane_account_name
       email             = var.app_plane_account_email
       parent_id         = aws_organizations_organizational_unit.workloads.id
       role_name         = "OrganizationAccountAccessRole"
       close_on_deletion = false
     
    +  timeouts {
    +    create = "30m"
    +    delete = "30m"
    +  }
    +

    [To ensure code accuracy, apply this suggestion manually]

    Suggestion importance[1-10]: 7

    __

    Why: Adding timeout configurations for AWS account creation is important to prevent indefinite hanging during deployment and provide better error handling for long-running operations.

    Medium

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    Actionable comments posted: 31

    🧹 Nitpick comments (61)
    observability/rules/podowner.rules.yml (2)

    13-30: Consider documenting the ReplicaSet selection logic.

    The rule correctly maps pods to their Deployment owners through ReplicaSets, but the topk operation's role in selecting the most recent ReplicaSet could benefit from documentation.

    Add a comment explaining the ReplicaSet selection logic:

             - annotations: {}
    +          # Uses topk to select the most recent ReplicaSet for each Deployment,
    +          # ensuring accurate pod ownership during rolling updates
               expr: |-

    1-64: Consider documenting metric usage patterns.

    These pod ownership metrics (namespace_workload_pod:kube_pod_owner:relabel) can be valuable for:

    • Tracking workload distribution across namespaces
    • Monitoring pod ownership changes during deployments
    • Analyzing workload patterns across clusters

    Consider documenting these use cases in a README or in the related Grafana dashboard configurations.

    argocd/ctrl_plane/dev/victoriametrics.yaml (1)

    37-53: Consider adjusting storage and retention settings.

    The VMSingle configuration has some points to consider:

    • 365 days retention with 200Gi storage might not be sufficient depending on your metrics volume
    • Internal load balancer is correctly configured for GCP

    Monitor your storage usage and metrics ingestion rate to ensure the 200Gi storage allocation is sufficient for the 365-day retention period. Consider implementing a monitoring alert for storage capacity.

    tofu/gcp/observability_stack/control_plane/k8s/variables.tf (2)

    1-7: Add descriptions and validation rules for GCP variables.

    The GCP-specific variables lack descriptions and validation rules. Consider adding:

    1. Description blocks to document the purpose and expected values
    2. Validation rules to ensure valid GCP project ID format and supported regions
     variable "project_id" {
       type = string
    +  description = "The GCP project ID where resources will be created"
    +  validation {
    +    condition     = can(regex("^[a-z][a-z0-9-]{4,28}[a-z0-9]$", var.project_id))
    +    error_message = "Project ID must be between 6 and 30 characters, start with a letter, and contain only lowercase letters, numbers, and hyphens"
    +  }
     }
    
     variable "region" {
       type = string
    +  description = "The GCP region where resources will be created (e.g., us-central1)"
    +  validation {
    +    condition     = can(regex("^[a-z]+-[a-z]+\\d+$", var.region))
    +    error_message = "Region must be a valid GCP region (e.g., us-central1)"
    +  }
     }

    9-19: Add descriptions and validation rules for Kubernetes cluster variables.

    The Kubernetes cluster variables lack descriptions and validation rules. Consider adding:

    1. Description blocks to document the purpose and expected values
    2. Validation rules to ensure valid formats
     variable "cluster_endpoint" {
       type = string
    +  description = "The endpoint URL of the GKE cluster"
    +  validation {
    +    condition     = can(regex("^https://", var.cluster_endpoint))
    +    error_message = "Cluster endpoint must be a valid HTTPS URL"
    +  }
     }
    
     variable "cluster_ca_certificate" {
       type = string
    +  description = "The base64 encoded public certificate for the cluster's certificate authority"
    +  validation {
    +    condition     = can(base64decode(var.cluster_ca_certificate))
    +    error_message = "Cluster CA certificate must be base64 encoded"
    +  }
     }
    
     variable "cluster_name" {
       type = string
    +  description = "The name of the GKE cluster"
    +  validation {
    +    condition     = can(regex("^[a-z0-9-]+$", var.cluster_name))
    +    error_message = "Cluster name must contain only lowercase letters, numbers, and hyphens"
    +  }
     }
    argocd/ctrl_plane/dev/alloy.yaml (2)

    283-288: Review resource allocation.

    The resource requests and limits look reasonable for a control plane deployment:

    • Requests: 500m CPU, 2Gi memory
    • Limits: 2 CPU, 6Gi memory

    However, consider the following:

    1. The memory limit is 3x the request, which might indicate uncertainty about actual usage.
    2. Monitor actual resource usage to fine-tune these values.

    254-258: Consider maintaining the metric allowlist in a separate ConfigMap.

    The regex for allowed metrics is quite long and might be difficult to maintain. Consider moving it to a separate ConfigMap for better maintainability.

    tofu/gcp/observability_stack/control_plane/infra/variables.tf (1)

    1-7: Add descriptions and validation rules for variables.

    While the variables are correctly defined, they would benefit from:

    1. Descriptions to document their purpose
    2. Validation rules to ensure proper values

    Apply this diff to improve the variable definitions:

     variable "project_id" {
       type = string
    +  description = "The GCP project ID where resources will be created"
    +  validation {
    +    condition     = can(regex("^[a-z][a-z0-9-]{4,28}[a-z0-9]$", var.project_id))
    +    error_message = "Project ID must be between 6 and 30 characters, start with a letter, and contain only lowercase letters, numbers, and hyphens."
    +  }
     }
    
     variable "region" {
       type = string
    +  description = "The GCP region where resources will be created"
    +  validation {
    +    condition     = can(regex("^[a-z]+-[a-z]+[0-9]$", var.region))
    +    error_message = "Region must be a valid GCP region (e.g., us-central1, europe-west1)."
    +  }
     }
    observability/grafana/base/kustomization.yaml (1)

    1-5: Fix YAML formatting issues.

    The Kustomization is correctly defined but has formatting issues:

    1. Line 4: Remove trailing spaces
    2. Add a newline at the end of the file

    Apply this diff to fix the formatting:

     apiVersion: kustomize.config.k8s.io/v1beta1
     kind: Kustomization
    
    -resources: 
    -  - grafana-dashboards.yaml
    \ No newline at end of file
    +resources:
    +  - grafana-dashboards.yaml
    +
    🧰 Tools
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    [error] 5-5: no new line character at the end of file

    (new-line-at-end-of-file)

    argocd/ctrl_plane/dev/manifests/grafana-datasource.yaml (1)

    20-20: Add newline at end of file.

    Add a newline character at the end of the file to comply with YAML best practices.

         url: http://vmsingle-vm.observability.svc.cluster.local:8429
    +
    🧰 Tools
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    argocd/app_plane/dev/manifests/grafana-datasource.yaml (1)

    20-20: Add newline at end of file.

    Add a newline character at the end of the file to comply with YAML best practices.

     url: http://vmsingle-vm-victoria-metrics-k8s-stack.observability.svc.cluster.local:8429
    +
    🧰 Tools
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    tofu/aws/1-bootstrap/variables.tf (1)

    18-21: Add validation for email format.

    Consider adding a validation block to ensure the email format is correct.

     variable "account_email" {
       type        = string
       description = "The email of the account to create."
    +  validation {
    +    condition     = can(regex("^[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\\.[a-zA-Z]{2,}$", var.account_email))
    +    error_message = "The account_email must be a valid email address."
    +  }
     }
    observability/rules/prometheus-general.rules.yml (2)

    13-16: Enhance rule annotations for better observability.

    Consider adding helpful annotations to provide context about the rule's purpose and potential actions.

    -        - annotations: {}
    +        - annotations:
    +            description: "Count of instances that are currently up"
    +            summary: "Total count of healthy instances"
               expr: count without(instance, pod, node) (up == 1)
               labels: {}
               record: count:up1

    17-20: Add annotations for down instances rule.

    Similarly, enhance the down instances rule with descriptive annotations.

    -        - annotations: {}
    +        - annotations:
    +            description: "Count of instances that are currently down"
    +            summary: "Total count of unhealthy instances"
               expr: count without(instance, pod, node) (up == 0)
               labels: {}
               record: count:up0
    argocd/ctrl_plane/dev/certmanager.yaml (1)

    22-25: Consider enabling prune option in automated sync policy

    The current sync policy might leave orphaned resources when configurations are removed. Consider adding prune: true to the automated sync policy for better cleanup:

      syncPolicy:
    -   automated: {}
    +   automated:
    +     prune: true
        syncOptions:
          - CreateNamespace=true
    🧰 Tools
    🪛 YAMLlint (1.35.1)

    [error] 25-25: no new line character at the end of file

    (new-line-at-end-of-file)

    tofu/aws/2-org/main.tf (1)

    12-13: Consider customizing the IAM role name for enhanced security

    Using the default "OrganizationAccountAccessRole" name is predictable. Consider using a custom role name for better security posture.

    tofu/aws/3-application_plane/variables.tf (1)

    1-26: LGTM! Well-defined Terraform variables with clear descriptions.

    The variables are well-structured with appropriate types and descriptions.

    Consider adding validation rules for critical variables.

    For better error handling and security, consider adding validation rules:

     variable "cloudtrail_retention_days" {
       type        = number
       description = "Number of days to retain CloudTrail logs"
       default     = 90
    +  validation {
    +    condition     = var.cloudtrail_retention_days >= 90
    +    error_message = "CloudTrail retention days must be at least 90 days for compliance."
    +  }
     }
    
     variable "workloads_ou_name" {
       type        = string
       description = "Name of the OU for workloads"
    +  validation {
    +    condition     = can(regex("^[a-zA-Z0-9-_]+$", var.workloads_ou_name))
    +    error_message = "OU name must contain only alphanumeric characters, hyphens, and underscores."
    +  }
     }
    observability/rules/containermemorycache.rules.yml (1)

    1-21: LGTM! Well-structured VictoriaMetrics recording rules.

    The rules follow best practices:

    • Consistent naming convention across rules
    • Proper metric selection and filtering
    • Efficient use of topk for aggregation

    Consider adding alert thresholds for critical memory metrics.

    While the recording rules are well-defined, consider adding alert rules to proactively notify when memory metrics exceed certain thresholds.

    Example alert rule structure:

    - alert: ContainerHighMemoryUsage
      expr: node_namespace_pod_container:container_memory_rss > 0.9 * container_spec_memory_limit_bytes
      for: 5m
      labels:
        severity: warning
      annotations:
        summary: High memory usage for container ({{ $labels.container }})
        description: Container {{ $labels.container }} in pod {{ $labels.pod }} has high memory usage

    Also applies to: 1-21, 1-21

    observability/rules/containermemoryworkingsetbytes.rules.yml (1)

    14-20: Add documentation for the recorded metric.

    The rule would benefit from annotations explaining:

    • The purpose of the recorded metric
    • The units of measurement
    • Expected value ranges
    • Any overhead considerations

    Add annotations to document the metric:

             - annotations: {}
    +          annotations:
    +            description: "Container memory working set bytes by node, namespace, pod, and container"
    +            summary: "Records the working set size of containers in bytes"
    +            unit: "bytes"
               expr: |-
    observability/rules/node-network.rules.yml (1)

    13-21: Enhance alert context and severity handling.

    The alert is well-documented but could be improved by:

    1. Adding more context about the impact
    2. Considering different severity levels based on interface type

    Enhance the alert with more context:

             - alert: NodeNetworkInterfaceFlapping
               annotations:
                 description: Network interface "{{ $labels.device }}" changing its up status often on node-exporter {{ $labels.namespace }}/{{ $labels.pod }}
    +            impact: "Network instability may affect pod connectivity and service availability"
                 runbook_url: https://runbooks.prometheus-operator.dev/runbooks/general/nodenetworkinterfaceflapping
                 summary: Network interface is often changing its status
               expr: changes(node_network_up{job="node-exporter",device!~"veth.+"}[2m]) > 2
               for: 2m
               labels:
    -            severity: warning
    +            severity: '{{ if $labels.device =~ "^(eth0|ens|eno)" }}critical{{ else }}warning{{ end }}'
    observability/rules/containercpuusagesecondstotal.rules.yml (1)

    13-21: Document metric and consider using rate instead of irate.

    The rule would benefit from:

    1. Documentation about the recorded metric
    2. Consider using rate instead of irate for more stable measurements over longer periods

    Add documentation and consider using rate:

             - annotations: {}
    +          annotations:
    +            description: "Container CPU usage in seconds by node, namespace, pod, and container"
    +            summary: "Records the rate of CPU usage over 5-minute windows"
    +            unit: "seconds"
               expr: |-
                 sum by (namespace,pod,container,cluster) (
    -              irate(container_cpu_usage_seconds_total{job="kubelet", metrics_path="/metrics/cadvisor", image!=""}[5m])
    +              rate(container_cpu_usage_seconds_total{job="kubelet", metrics_path="/metrics/cadvisor", image!=""}[5m])
                 ) * on (namespace,pod,cluster) group_left(node) topk by (namespace,pod,cluster) (
    argocd/app_plane/dev/vmrules.yaml (1)

    28-33: Add health checks and resource management.

    Consider enhancing the sync policy with:

    1. Health check configuration
    2. Resource limits for the ApplicationSet controller

    Add health checks and resource management:

           syncPolicy:
             syncOptions:
               - CreateNamespace=true
    +          - PruneLast=true
    +          - RespectIgnoreDifferences=true
             automated:
               prune: true
               selfHeal: true
    +      info:
    +        - name: Health
    +          value: |
    +            Conditions:
    +              - type: ResourcesUpToDate
    +                status: "True"
    +              - type: Synced
    +                status: "True"
    +      resources:
    +        limits:
    +          cpu: 200m
    +          memory: 256Mi
    argocd/app_plane/dev/applicationset.yaml (1)

    28-33: Add retry strategy and progress deadline.

    Consider enhancing the sync policy with:

    1. Retry strategy for failed synchronizations
    2. Progress deadline for sync operations

    Add retry and deadline configurations:

           syncPolicy:
             syncOptions:
               - CreateNamespace=true
    +          - RetryMaxDuration=5m
    +          - ProgressDeadlineSeconds=600
             automated:
               prune: true
               selfHeal: true
    +          allowEmpty: false
    +          retry:
    +            limit: 5
    +            backoff:
    +              duration: 5s
    +              factor: 2
    +              maxDuration: 3m
    observability/grafana/kustomization.yaml (1)

    2-5: Consider enabling name suffix hash for dashboard versioning.

    While disabling the name suffix hash makes the ConfigMap names predictable, enabling it would help with versioning and rolling updates of dashboards. This is especially important in a production environment where dashboard changes need to be tracked and rolled back if needed.

     generatorOptions:
    -  disableNameSuffixHash: true
    +  disableNameSuffixHash: false
       labels:
         grafana_dashboard: "1"
    observability/rules/containercpurequests.rules.yml (1)

    1-34: Consider consolidating CPU metrics recording rules.

    The implementation is correct but shares significant logic with containercpulimits.rules.yml. Consider using a single rule group with parameterized metrics to reduce duplication.

    Example consolidation:

    groups:
      - name: k8s.rules.container_cpu
        rules:
          - record: cluster:namespace:pod_cpu:active:kube_pod_container_resource_${type}
            expr: |
              kube_pod_container_resource_${type}{resource="cpu",job="kube-state-metrics"} * on(namespace,pod,cluster)
              group_left() max by(namespace,pod,cluster) (
                kube_pod_status_phase{phase=~"Pending|Running"} == 1
              )
    tofu/aws/1-bootstrap/main.tf (1)

    31-58: Add resource tags for cost tracking.

    Add tags to the S3 bucket and related resources for better cost allocation and resource management.

    resource "aws_s3_bucket" "terraform_state" {
      bucket = "tf-state-${random_id.suffix.hex}"
      provider = aws.seed-account
    + tags = {
    +   Environment = "bootstrap"
    +   Purpose     = "terraform-state"
    +   ManagedBy   = "terraform"
    + }
    }
    observability/rules/containermemoryrequests.rules.yml (1)

    13-20: Add descriptive annotations to recording rules.

    Consider adding descriptive annotations to both recording rules to improve maintainability and documentation. This helps other team members understand the purpose and usage of these metrics.

             - annotations: {}
    +          annotations:
    +            description: "Active memory requests for pods in Pending/Running state"
    +            summary: "Pod memory requests"
               expr: |-
                 kube_pod_container_resource_requests{resource="memory",job="kube-state-metrics"}  * on (namespace,pod,cluster)
                 group_left() max by (namespace,pod,cluster) (
                   (kube_pod_status_phase{phase=~"Pending|Running"} == 1)
                 )
               labels: {}
               record: cluster:namespace:pod_memory:active:kube_pod_container_resource_requests
             - annotations: {}
    +          annotations:
    +            description: "Total memory requests per namespace for active pods"
    +            summary: "Namespace memory requests"
               expr: |-
                 sum by (namespace,cluster) (

    Also applies to: 21-33

    observability/grafana/base/grafana-dashboards.yaml (1)

    72-72: Add newline at end of file.

    Add a newline character at the end of the file to comply with POSIX standards.

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    observability/rules/prometheus-node-recording.rules.yml (1)

    13-36: Enhance metric observability with additional metadata.

    Consider the following improvements:

    1. Add descriptive annotations for each recording rule
    2. Include additional labels for better filtering (e.g., job, instance_type)
             - annotations: {}
    +          annotations:
    +            description: "Rate of CPU usage excluding idle, iowait, and steal time"
    +            summary: "Node CPU usage rate"
               expr: sum(rate(node_cpu_seconds_total{mode!="idle",mode!="iowait",mode!="steal"}[3m])) BY (instance,cluster)
    -          labels: {}
    +          labels:
    +            job: "node"
               record: instance:node_cpu:rate:sum
    observability/rules/node.rules.yml (1)

    13-20: Add documentation for the recording rule.

    Consider adding a description annotation to explain what this metric represents and how it's used.

             - annotations: {}
    +          annotations:
    +            description: "Records the mapping between pods and nodes for use in other recording rules"
    argocd/ctrl_plane/dev/manifests/grafana.yaml (1)

    22-24: Consider using non-root init container.

    While running the init container as root works, consider using a more restrictive security context by:

    1. Using a custom image with the correct user/group pre-configured
    2. Using fsGroup to set permissions instead
    argocd/app_plane/dev/victoriametrics.yaml (1)

    136-136: Add newline at end of file.

    Add a newline character at the end of the file to comply with POSIX standards.

     .webhooks[]?.clientConfig.caBundle"
    +
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    observability/rules/kubernetes-storage.rules.yml (1)

    1-106: LGTM! The alerts are well-defined and cover critical storage scenarios.

    The alerts effectively monitor Persistent Volume health with appropriate thresholds and predictive alerts. The exclusion of ReadOnlyMany PVCs and PVCs with excluded_from_alerts label shows thoughtful implementation.

    Consider adding the following improvements:

    1. Add alerts for StorageClass provisioner health to detect issues with dynamic provisioning.
    2. Add alerts for volume snapshot operations if using CSI snapshots.

    Example alert for StorageClass provisioner:

    - alert: KubeStorageClassProvisionerDown
      annotations:
        description: Storage class {{ $labels.storage_class }} provisioner is down or not responding.
        runbook_url: https://runbooks.prometheus-operator.dev/runbooks/kubernetes/kubestorageclassprovisionerdown
        summary: Storage class provisioner is down.
      expr: |
        kube_storageclass_info{provisioner!=""} 
        unless on (provisioner) 
        sum by (provisioner) (up{job=~".*csi.*"}) > 0
      for: 5m
      labels:
        severity: critical
    observability/rules/vmsingle.rules.yml (1)

    1-122: LGTM! The alerts effectively monitor VictoriaMetrics health and performance.

    The alerts cover critical aspects like disk space, API health, churn rate, and insert performance with appropriate thresholds and durations.

    Consider adding the following improvements:

    1. Add alerts for backup/snapshot operations if configured.
    2. Add alerts for query performance degradation.

    Example alert for query performance:

    - alert: TooHighQueryLatency
      annotations:
        dashboard: grafana.domain.com/d/wNf0q_kZk?viewPanel=35&var-instance={{ $labels.instance }}
        description: Query latency is higher than expected on instance {{ $labels.instance }}.
        summary: High query latency on {{ $labels.instance }}
      expr: |
        histogram_quantile(0.9, sum(rate(vm_request_duration_seconds_bucket{path="/select/0/prometheus/api/v1/query"}[5m])) by (le,instance)) > 1
      for: 15m
      labels:
        severity: warning
    observability/rules/kubernetes-resources.rules.yml (1)

    1-115: LGTM! The alerts provide comprehensive monitoring of Kubernetes resource usage.

    The alerts effectively monitor resource usage at both cluster and namespace levels with appropriate thresholds and durations.

    Consider adding the following improvements:

    1. Add alerts for resource requests vs limits ratio.
    2. Add alerts for resource fragmentation.

    Example alert for resource requests vs limits ratio:

    - alert: KubeContainerResourceRatio
      annotations:
        description: Container {{ $labels.container }} in pod {{ $labels.pod }} has resource requests significantly lower than limits.
        runbook_url: https://runbooks.prometheus-operator.dev/runbooks/kubernetes/kubecontainerresourceratio
        summary: Container resource requests vs limits ratio is too low.
      expr: |
        sum(kube_pod_container_resource_limits{resource="cpu"}) by (namespace,pod,container)
        /
        sum(kube_pod_container_resource_requests{resource="cpu"}) by (namespace,pod,container)
        > 4
      for: 15m
      labels:
        severity: warning
    observability/rules/vm-health.rules.yml (1)

    1-110: LGTM! The alerts provide comprehensive monitoring of VictoriaMetrics health.

    The alerts effectively monitor various aspects of VictoriaMetrics health including process metrics, resource usage, and operational metrics.

    Consider adding the following improvements:

    1. Add alerts for network connectivity issues.
    2. Add alerts for cache efficiency.

    Example alert for network connectivity:

    - alert: NetworkConnectivityIssues
      annotations:
        description: Network connectivity issues detected for {{ $labels.instance }}.
        summary: Network connectivity issues on {{ $labels.instance }}
      expr: |
        rate(vm_http_request_errors_total{code=~"5..|408"}[5m])
        /
        rate(vm_http_requests_total[5m])
        > 0.05
      for: 15m
      labels:
        severity: warning
    scripts/add_cluster.sh (1)

    1-155: Consider adding input validation and error recovery.

    While the script has good error handling, it could benefit from additional robustness.

    1. Add validation for required inputs:
    validate_input() {
        local var_name="$1"
        local var_value="$2"
        if [ -z "$var_value" ]; then
            echo "Error: $var_name cannot be empty"
            exit 1
        fi
    }
    
    validate_input "ARGOCD_SERVER" "$ARGOCD_SERVER"
    validate_input "PAGERDUTY_API_KEY" "$PAGERDUTY_API_KEY"
    # Add validation for other inputs
    1. Add cleanup function for temporary files:
    cleanup() {
        rm -f /tmp/review.txt
    }
    trap cleanup EXIT
    1. Add retries for network operations:
    retry() {
        local retries=3
        local count=0
        until "$@"; do
            exit=$?
            count=$((count + 1))
            if [ $count -lt $retries ]; then
                echo "Retry attempt $count/$retries"
                sleep 5
            else
                return $exit
            fi
        done
        return 0
    }
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    observability/rules/alertmanager.rules.yml (2)

    21-21: Consider parameterizing the namespace in metric queries.

    The namespace "default" is hardcoded in the expression. Consider using a variable or label matcher to make the rule more reusable across different namespaces.

    -max_over_time(alertmanager_config_last_reload_successful{job="vm-alertmanager",namespace="default"}[5m]) == 0
    +max_over_time(alertmanager_config_last_reload_successful{job="vm-alertmanager"}[5m]) == 0

    33-35: Consider adding failure threshold to description.

    The alert description could be more informative by including the expected number of members.

    -            description: Alertmanager {{ $labels.namespace }}/{{ $labels.pod}} has only found {{ $value }} members of the {{$labels.job}} cluster.
    +            description: Alertmanager {{ $labels.namespace }}/{{ $labels.pod}} has only found {{ $value }} members of the {{$labels.job}} cluster (expected {{ $labels.expected_members }}).
    observability/rules/kubernetes-apps.rules.yml (2)

    18-18: Consider adjusting the expression for more accurate crash detection.

    The current expression might catch brief CrashLoopBackOff states. Consider using rate() to detect sustained crash loops.

    -max_over_time(kube_pod_container_status_waiting_reason{reason="CrashLoopBackOff", job="kube-state-metrics", namespace=~".*"}[5m]) >= 1
    +rate(kube_pod_container_status_waiting_reason{reason="CrashLoopBackOff", job="kube-state-metrics", namespace=~".*"}[5m]) > 0

    30-30: Consider filtering out specific phases.

    The current expression includes all non-ready phases. Consider explicitly listing the phases you want to alert on.

    -                kube_pod_status_phase{job="kube-state-metrics", namespace=~".*", phase=~"Pending|Unknown|Failed"}
    +                kube_pod_status_phase{job="kube-state-metrics", namespace=~".*", phase=~"Failed|Unknown"}
    observability/rules/node-exporter.rules.yml (2)

    367-367: Consider adding warning threshold for memory utilization.

    The current expression only alerts at 90% utilization. Consider adding a warning threshold at a lower percentage.

    -100 - (node_memory_MemAvailable_bytes{job="node-exporter"} / node_memory_MemTotal_bytes{job="node-exporter"} * 100) > 90
    +100 - (node_memory_MemAvailable_bytes{job="node-exporter"} / node_memory_MemTotal_bytes{job="node-exporter"} * 100) > 80

    378-378: Consider adding rate limiting to disk I/O alerts.

    The current expression might be too sensitive to brief I/O spikes. Consider using avg_over_time for more stable alerting.

    -rate(node_disk_io_time_weighted_seconds_total{job="node-exporter", device=~"(/dev/)?(mmcblk.p.+|nvme.+|rbd.+|sd.+|vd.+|xvd.+|dm-.+|md.+|dasd.+)"}[5m]) > 10
    +avg_over_time(rate(node_disk_io_time_weighted_seconds_total{job="node-exporter", device=~"(/dev/)?(mmcblk.p.+|nvme.+|rbd.+|sd.+|vd.+|xvd.+|dm-.+|md.+|dasd.+)"}[5m])[15m:]) > 10
    argocd/app_plane/dev/alloy.yaml (1)

    289-294: Review resource limits configuration.

    The current CPU limit (2 cores) to request (500m) ratio is 4:1, which might lead to CPU throttling. Consider adjusting the ratio to be closer to 2:1 or 3:1.

                   requests:
                     cpu: 500m
                     memory: 2Gi
                   limits:
    -                cpu: "2"
    +                cpu: "1"
                     memory: 6Gi
    observability/grafana/dashboards/falkordb-cloud.json (2)

    98-98: Consider using a more precise interval for uptime calculation.

    The current query uses $__interval which might be too coarse for accurate uptime tracking.

    -          "expr": "max(max_over_time(___customer_redis_uptime_in_seconds{pod=~\"$pod\"}[$__interval]))",
    +          "expr": "max(___customer_redis_uptime_in_seconds{pod=~\"$pod\"})",

    975-975: Optimize the command duration calculation.

    The current query uses two separate aggregations which might be inefficient. Consider using a single metric if available.

    -          "expr": "sum(irate(___customer_redis_commands_duration_seconds_total{pod =~ \"$pod\"}[1m])) by (cmd)\n  /\nsum(irate(___customer_redis_commands_total{pod =~ \"$pod\"}[1m])) by (cmd)\n",
    +          "expr": "rate(___customer_redis_commands_duration_seconds_total{pod =~ \"$pod\"}[1m]) / rate(___customer_redis_commands_total{pod =~ \"$pod\"}[1m])",
    observability/grafana/dashboards/prometheus-dashboard.json (4)

    1418-1421: Consider adjusting time range and refresh settings for better monitoring.

    The current configuration might need adjustments:

    • The default time range of 15 minutes might be too short for trend analysis
    • The 30-second refresh interval could be resource-intensive for larger clusters

    Consider these changes:

      "time": {
    -   "from": "now-15m",
    +   "from": "now-3h",
        "to": "now"
      },
      "refresh": "30s",

    Also applies to: 1290-1291


    369-370: Enhance resource monitoring resilience.

    The CPU and memory monitoring queries could be more robust by handling cases where resource requests/limits are not set.

    Consider adding fallback logic:

    -  "expr": "sum(rate(container_cpu_usage_seconds_total{namespace=\"$namespace\", pod=~\"$pod\", image!=\"\", cluster=\"$cluster\"}[$__rate_interval])) / sum(kube_pod_container_resource_requests{namespace=\"$namespace\", pod=~\"$pod\", resource=\"cpu\", job=~\"$job\", cluster=\"$cluster\"})",
    +  "expr": "sum(rate(container_cpu_usage_seconds_total{namespace=\"$namespace\", pod=~\"$pod\", image!=\"\", cluster=\"$cluster\"}[$__rate_interval])) / (sum(kube_pod_container_resource_requests{namespace=\"$namespace\", pod=~\"$pod\", resource=\"cpu\", job=~\"$job\", cluster=\"$cluster\"}) > 0 or vector(1))",

    Also applies to: 513-514, 587-588


    1884-2315: Enhance network monitoring coverage.

    While the current network metrics are good, consider adding:

    • TCP connection states
    • Protocol-specific metrics (HTTP, gRPC)
    • Connection tracking metrics

    Add these metrics:

    +        {
    +          "expr": "sum(container_network_tcp_usage_total{namespace=\"$namespace\", pod=~\"$pod\", cluster=\"$cluster\"}) by (state)",
    +          "legendFormat": "TCP {{ state }}",
    +          "interval": "$resolution",
    +          "refId": "C"
    +        }

    499-604: Add volume performance metrics.

    The storage monitoring could be enhanced with performance metrics:

    • Volume throughput
    • Volume latency
    • I/O operations

    Add these metrics:

    +        {
    +          "expr": "rate(kubelet_volume_stats_read_bytes_total{namespace=\"$namespace\", persistentvolumeclaim=~\".*prom.*\", cluster=\"$cluster\"}[$__rate_interval])",
    +          "legendFormat": "{{ persistentvolumeclaim }} - Read Throughput",
    +          "refId": "C"
    +        }
    observability/grafana/dashboards/pod-overview.json (4)

    29-29: Enhance dashboard navigation and filtering.

    Consider adding:

    • Links to related dashboards (Nodes, Namespaces)
    • Additional template variables (Node, Container)

    Add dashboard links:

    -  "links": [],
    +  "links": [
    +    {
    +      "title": "Node Overview",
    +      "url": "/d/k8s_views_nodes/kubernetes-views-nodes?var-datasource=${datasource}&var-cluster=${cluster}"
    +    },
    +    {
    +      "title": "Namespace Overview",
    +      "url": "/d/k8s_views_namespaces/kubernetes-views-namespaces?var-datasource=${datasource}&var-cluster=${cluster}"
    +    }
    +  ],

    44-158: Add container state and pod condition metrics.

    Enhance the status monitoring with:

    • Container state transitions
    • Pod conditions (Ready, PodScheduled, etc.)

    Add these metrics:

    +        {
    +          "expr": "kube_pod_container_state_started{namespace=\"$namespace\", pod=\"$pod\", cluster=\"$cluster\"}",
    +          "legendFormat": "{{ container }} - Started",
    +          "refId": "B"
    +        },
    +        {
    +          "expr": "kube_pod_status_condition{namespace=\"$namespace\", pod=\"$pod\", cluster=\"$cluster\"}",
    +          "legendFormat": "{{ condition }} - {{ status }}",
    +          "refId": "C"
    +        }

    447-746: Add memory pressure and cgroup metrics.

    Consider enhancing resource monitoring with:

    • Memory pressure metrics
    • Cgroup metrics for better resource tracking

    Add these metrics:

    +        {
    +          "expr": "container_memory_pressure_level{namespace=\"$namespace\", pod=\"$pod\", cluster=\"$cluster\"}",
    +          "legendFormat": "{{ container }} - Memory Pressure",
    +          "refId": "C"
    +        },
    +        {
    +          "expr": "container_memory_cgroup_usage_bytes{namespace=\"$namespace\", pod=\"$pod\", cluster=\"$cluster\"}",
    +          "legendFormat": "{{ container }} - Cgroup Memory",
    +          "refId": "D"
    +        }

    1884-2315: Add interface-specific and DNS metrics.

    Consider enhancing network monitoring with:

    • Interface-specific metrics
    • DNS query metrics

    Add these metrics:

    +        {
    +          "expr": "container_network_receive_bytes_total{namespace=\"$namespace\", pod=\"$pod\", cluster=\"$cluster\"} by (interface)",
    +          "legendFormat": "{{ interface }} - Received",
    +          "refId": "C"
    +        },
    +        {
    +          "expr": "coredns_dns_request_duration_seconds_count{namespace=\"$namespace\", pod=\"$pod\", cluster=\"$cluster\"}",
    +          "legendFormat": "DNS Requests",
    +          "refId": "D"
    +        }
    observability/grafana/dashboards/vmauth.json (2)

    58-58: Consider adding version compatibility information.

    The description mentions "v1.80.0 or higher" but doesn't specify the maximum compatible version.

    Add version compatibility range to the description:

    -  "description": "Overview for VictoriaMetrics vmauth v1.80.0 or higher",
    +  "description": "Overview for VictoriaMetrics vmauth v1.80.0 - v2.x.x",

    2461-2564: Consider adding more granular templating variables.

    The current templating configuration could be enhanced for better filtering capabilities.

    Add these templating variables:

    +"adhoc_filters": {
    +  "name": "Custom Filters",
    +  "type": "custom",
    +  "includeAll": true,
    +  "multi": true
    +},
    +"status": {
    +  "name": "Status",
    +  "type": "custom",
    +  "includeAll": true,
    +  "options": [
    +    "success",
    +    "error",
    +    "unauthorized"
    +  ]
    +}
    observability/grafana/dashboards/namespace-overview.json (2)

    24-24: Update dashboard description for better maintainability.

    The description references an external GitHub repository which may become outdated.

    -  "description": "This is a modern 'Namespaces View' dashboard for your Kubernetes cluster(s). Made for kube-prometheus-stack and take advantage of the latest Grafana features. GitHub repository: https://github.com/dotdc/grafana-dashboards-kubernetes",
    +  "description": "Modern 'Namespaces View' dashboard for Kubernetes cluster(s). Compatible with kube-prometheus-stack and latest Grafana features. Monitors namespace-level metrics including resource usage, pod status, and network activity.",

    1252-1253: Enhance OOM events monitoring query.

    The current query for OOM events could be improved to provide more context.

    -  "expr": "sum(increase(container_oom_events_total{namespace=~\"${namespace}\", cluster=\"$cluster\"}[$__rate_interval])) by (namespace, pod) > 0",
    +  "expr": "sum(increase(container_oom_events_total{namespace=~\"${namespace}\", cluster=\"$cluster\"}[$__rate_interval])) by (namespace, pod, container) > 0",

    This change adds container-level granularity to help identify specific containers causing OOM events.

    argocd/ctrl_plane/dev/kustomize/vmuser/kustomization.yaml (1)

    8-8: Add a newline at the end of the file.

    Add a newline character at the end of the file to comply with YAML style requirements.

       - string-secret.yaml
    +
    🧰 Tools
    🪛 YAMLlint (1.35.1)

    [error] 8-8: no new line character at the end of file

    (new-line-at-end-of-file)

    observability/rules/containermemoryrss.rules.yml (1)

    1-21: LGTM! Well-structured monitoring rule for container RSS memory.

    The implementation correctly captures container RSS memory metrics with proper label correlation and multi-cluster support.

    Consider adding annotations to document:

    • Purpose of the rule
    • Expected values/thresholds
    • Related dashboards/alerts

    Example:

             - annotations: {}
    +          annotations:
    +            description: "Records RSS memory usage per container, correlated with node information"
    +            dashboard: "https://grafana/d/k8s-resources-pod"
    observability/rules/containermemoryswap.rules.yml (1)

    1-21: LGTM! Verify swap metric availability in your clusters.

    The implementation follows the same well-structured pattern as the RSS rule. However, swap metrics availability should be verified.

    Please verify that swap metrics are available in your clusters by running:

    Consider adding annotations to document:

    • Purpose of the rule
    • Expected values/thresholds
    • Related dashboards/alerts
    • Whether swap is expected/supported in your environment

    Example:

             - annotations: {}
    +          annotations:
    +            description: "Records swap memory usage per container, correlated with node information"
    +            dashboard: "https://grafana/d/k8s-resources-pod"
    +            note: "Requires swap to be enabled on nodes"
    ❌ Verification inconclusive

    🏁 Script executed:

    #!/bin/bash
    # Description: Check if swap metrics are being collected
    
    # Query kubelet metrics to verify swap metric existence
    curl -s http://localhost:8001/api/v1/nodes/$(kubectl get nodes -o jsonpath='{.items[0].metadata.name}')/proxy/metrics/cadvisor | grep container_memory_swap
    
    # Check if swap is enabled on nodes
    kubectl get nodes -o json | jq -r '.items[] | .metadata.name' | while read node; do
      echo "Node: $node"
      kubectl debug node/$node -it --image=busybox -- swapon --show
    done

    Length of output: 430


    Swap Metric Verification Requires Manual Checks
    The script did not produce output due to missing kubectl in the current environment. Please verify manually in your cluster that swap metrics are collected and that the nodes have swap enabled.

    📜 Review details

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    • .github/workflows/gcp-full-infra-test-plan.yaml
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    • .github/workflows/testing-plan-aws-infra.yaml
    • .github/workflows/gcp-full-infra-test-apply.yaml
    • tofu/aws/variables.tf
    • tofu/aws/outputs.tf
    • tofu/aws/main.tf
    ✅ Files skipped from review due to trivial changes (13)
    • tofu/aws/3-application_plane/backend.tf
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    • tofu/aws/2-org/backend.tf
    • tofu/gcp/bootstrap/seed_project/main.tf
    • argocd/ctrl_plane/dev/manifests/grafana-managed-certificate.yaml
    • tofu/gcp/observability_stack/control_plane/k8s/backend.tf
    • tofu/gcp/observability_stack/control_plane/README
    • tofu/aws/1-bootstrap/.terraform.lock.hcl
    • argocd/app_plane/README
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    [style] ~33-~33: Three successive sentences begin with the same word. Consider rewording the sentence or use a thesaurus to find a synonym.
    Context: ..._output.sh: Show deployment output. 16. tofu_show.sh: Show the state configuration. ...

    (ENGLISH_WORD_REPEAT_BEGINNING_RULE)


    [style] ~34-~34: Three successive sentences begin with the same word. Consider rewording the sentence or use a thesaurus to find a synonym.
    Context: ...w.sh: Show the state configuration. 17. tofu_test.sh: Run Tofu tests. 18. aws_update...

    (ENGLISH_WORD_REPEAT_BEGINNING_RULE)


    [style] ~38-~38: Three successive sentences begin with the same word. Consider rewording the sentence or use a thesaurus to find a synonym.
    Context: ... Port forward into the grafana gui. 21. kubectl_connect_prometheus.sh: Port forward int...

    (ENGLISH_WORD_REPEAT_BEGINNING_RULE)


    [style] ~39-~39: Three successive sentences begin with the same word. Consider rewording the sentence or use a thesaurus to find a synonym.
    Context: ...rt forward into the prometheus gui. 22. kubectl_connect_alertmanager.sh: Port forward i...

    (ENGLISH_WORD_REPEAT_BEGINNING_RULE)

    🪛 Shellcheck (0.10.0)
    scripts/add_cluster.sh

    [warning] 23-23: Declare and assign separately to avoid masking return values.

    (SC2155)


    [warning] 24-24: Declare and assign separately to avoid masking return values.

    (SC2155)


    [warning] 25-25: Declare and assign separately to avoid masking return values.

    (SC2155)


    [warning] 28-28: Declare and assign separately to avoid masking return values.

    (SC2155)


    [warning] 29-29: Declare and assign separately to avoid masking return values.

    (SC2155)


    [warning] 30-30: Declare and assign separately to avoid masking return values.

    (SC2155)


    [warning] 31-31: Declare and assign separately to avoid masking return values.

    (SC2155)


    [warning] 33-33: Declare and assign separately to avoid masking return values.

    (SC2155)


    [warning] 34-34: Declare and assign separately to avoid masking return values.

    (SC2155)


    [warning] 35-35: Declare and assign separately to avoid masking return values.

    (SC2155)


    [warning] 36-36: Declare and assign separately to avoid masking return values.

    (SC2155)


    [warning] 37-37: Declare and assign separately to avoid masking return values.

    (SC2155)


    [warning] 107-107: Quote this to prevent word splitting.

    (SC2046)


    [warning] 148-148: Quote this to prevent word splitting.

    (SC2046)

    🪛 Checkov (3.2.334)
    tofu/gcp/observability_stack/control_plane/infra/main.tf

    [HIGH] 191-225: Ensure public access prevention is enforced on Cloud Storage bucket

    (CKV_GCP_114)

    tofu/aws/3-application_plane/main.tf

    [HIGH] 59-70: Ensure Terraform module sources use a tag with a version number

    (CKV_TF_2)


    [HIGH] 95-106: Ensure Terraform module sources use a tag with a version number

    (CKV_TF_2)

    🔇 Additional comments (49)
    observability/rules/podowner.rules.yml (2)

    1-12: LGTM! Well-structured VMRule configuration.

    The metadata structure follows Kubernetes best practices, with clear namespace segregation and consistent naming conventions.


    31-63: LGTM! Well-implemented workload type rules.

    The DaemonSet, StatefulSet, and Job rules follow a consistent pattern, making them maintainable and easy to understand. The rules correctly track pod ownership for all major Kubernetes workload types.

    argocd/ctrl_plane/dev/victoriametrics.yaml (7)

    16-29: LGTM: Well-configured dashboard settings.

    The dashboard configuration is well structured with:

    • Server-side apply enabled for better conflict handling
    • Cross-namespace imports disabled for better security
    • Proper instance selector for Grafana integration

    101-124: LGTM: Proper component disablement.

    Correctly disabled redundant components that are likely managed elsewhere in the infrastructure:

    • Grafana (managed separately)
    • Node exporter
    • Various Kubernetes metric collectors

    128-134: LGTM: Well-configured sync policy.

    The sync policy is properly configured with:

    • Automatic namespace creation
    • Pruning enabled for clean state
    • Self-healing for automatic recovery

    135-153: LGTM: Comprehensive ignore differences configuration.

    Properly configured ignore differences for:

    • Operator validation secret
    • Webhook configuration
    • Grafana deployment checksum

    These configurations will prevent ArgoCD from constantly trying to sync dynamic fields.


    53-81: Review PagerDuty integration security.

    The Alertmanager configuration includes PagerDuty integration with some security considerations:

    • Secret management is properly configured
    • Alert grouping and timing parameters are well defined

    Ensure the PagerDuty service key is properly stored as a Kubernetes secret:

    ❌ Verification inconclusive

    🏁 Script executed:

    #!/bin/bash
    # Check if the PagerDuty secret exists in the cluster
    kubectl get secret pagerduty-service-key -n observability

    Length of output: 157


    PagerDuty Secret Verification Requires Manual Confirmation
    The test command couldn’t run as expected because the environment didn’t have kubectl available. Please manually verify the PagerDuty secret in the cluster using an appropriate environment (or ensure kubectl is installed) with the following command:

    kubectl get secret pagerduty-service-key -n observability

    85-101: Review VMAuth ingress security configuration.

    The VMAuth ingress configuration has important security implications:

    • TLS is properly enforced with cert-manager
    • HTTP is correctly disabled
    • Internal domain is used

    Verify the cert-manager issuer exists:

    ❌ Verification inconclusive

    🏁 Script executed:

    #!/bin/bash
    # Check if the specified cert-manager issuer exists
    kubectl get issuer letsencrypt -n observability

    Length of output: 147


    Manual Verification Required: Missing kubectl Command in Environment

    The cert-manager issuer check couldn't run as expected because the environment lacks the kubectl command. Please run the verification script in an environment with kubectl installed or manually verify that the issuer "letsencrypt" exists in the "observability" namespace.


    9-11: Verify the Helm chart version.

    The configuration uses victoria-metrics-k8s-stack chart version 0.35.1. Let's verify if this is the latest stable version and check for any known security issues.

    ✅ Verification successful

    🌐 Web query:

    What is the latest stable version of victoria-metrics-k8s-stack Helm chart? Are there any known security issues with version 0.35.1?
    

    💡 Result:

    The latest stable version of the victoria-metrics-k8s-stack Helm chart is 0.36.0, released on February 7, 2025[8]. This version includes updates to the VictoriaMetrics Operator (v0.53.0)[8].

    For version 0.35.1, there are no direct mentions of security issues in the provided sources:

    • Version 0.35.x series (including 0.35.7) primarily addressed configuration improvements and dependency updates[8]
    • Known issues with chart removal (reported in earlier versions) were related to Helm hook execution order rather than security vulnerabilities[2][5]

    However, important operational considerations exist for all versions:

    • Uninstallation might leave CRDs requiring manual cleanup[5]
    • ArgoCD deployments require special sync configurations to prevent certificate regeneration[5]
    • Namespace deletion workflows need careful ordering when using FluxCD[2][5]

    No CVEs or explicit security advisories appear in the documentation or release notes for version 0.35.1[1-10].

    Citations:


    Helm Chart Version Verification: Consider Upgrading

    • The latest stable version of the victoria-metrics-k8s-stack Helm chart is 0.36.0 (released February 7, 2025).
    • The current configuration pins version 0.35.1, which does not have any known security issues.
    • While version 0.35.1 is acceptable from a security standpoint, upgrading to 0.36.0 may provide additional improvements and updates.
    argocd/ctrl_plane/dev/alloy.yaml (3)

    1-13: LGTM! Well-structured ApplicationSet configuration.

    The ApplicationSet is correctly configured with Go template support and appropriate cluster selector for control plane deployments.


    297-302: LGTM! Robust sync policy configuration.

    The sync policy is well configured with:

    • Automatic namespace creation
    • Server-side apply for better conflict handling
    • Automated pruning and self-healing

    20-22: Verify the Helm chart version.

    The chart version is pinned to 0.11.0. Please verify if this is the latest stable version that meets your requirements.

    ✅ Verification successful

    🌐 Web query:

    What is the latest version of the Grafana Alloy Helm chart?
    

    💡 Result:

    The latest version of the Grafana Alloy Helm chart can be determined from multiple sources:

    1. GitHub Releases ([Source 4]) show active development:

      • alloy-0.11.x appears as part of dependency updates for other components like Tempo.
      • A more recent k8s-monitoring-2.x series (e.g., 2.0.x) was released for Kubernetes Monitoring integration with Alloy ([Source 3]).
    2. Documentation ([Source 1][5][9]) consistently references configuration steps for recent versions without specifying exact numbers but implies compatibility with ongoing updates like clustering features ([Source 5]).

    3 Release Notes ([Source 7]) detail breaking changes up to Alloy v1.x, though these refer to application versions rather than Helm charts specifically[^7].

    Based on available data:
    The most explicitly referenced stable release is alloy-0.x, while newer integrations (like Kubernetes Monitoring) use k8s-monitoring-2.x charts with built-in support for modern Alloy configurations1[^4]. For precise deployment versions today:

    helm search repo grafana/alloy

    would return current listings directly from repositories[^9].

    Citations:


    Helm Chart Version Verification

    Based on our review of available sources, the pinned version 0.11.0 is part of the stable alloy-0.x series referenced by Grafana. While newer charts (such as the k8s-monitoring-2.x series) exist for different integrations, for deployments using the standard Alloy chart, version 0.11.0 remains appropriate.

    tofu/aws/1-bootstrap/outputs.tf (1)

    1-3: LGTM! Output variable properly defined.

    The output variable is correctly defined to expose the AWS Organizational Unit ID, which can be referenced by other Terraform modules.

    argocd/ctrl_plane/dev/kustomize/vmuser/string-secret.yaml (1)

    1-11: Consider API stability implications.

    The configuration uses an alpha version API (secretgenerator.mittwald.de/v1alpha1). While the implementation looks correct, alpha APIs may have breaking changes.

    The password configuration with 16 characters and base64 encoding is appropriate for security requirements.

    ✅ Verification successful

    🌐 Web query:

    What is the latest stable version of mittwald's secret-generator operator?
    

    💡 Result:

    The latest stable version of mittwald's Kubernetes Secret Generator operator is v3.4.0, released on April 27, 2022[1][10]. This version includes several fixes and improvements such as PR closure prevention in stale actions and CRD controller encoding adjustments[1].

    Key details:

    • Helm chart deployment: Available via mittwald/kubernetes-secret-generator Helm repository[5][9]
    • Docker images: Tagged as quay.io/mittwald/kubernetes-secret-generator:v3.4.0[1]
    • Features: Supports annotation-based secret generation for passwords, SSH keys, and basic auth credentials with configurable encoding/length[5][9]

    While older versions like v2.1.2 exist[7], v3.x remains the current stable branch according to both GitHub releases and Artifact Hub listings[1][9][10]. The operator continues to be maintained with security-focused random string generation using cryptographically secure methods[5][6].

    Citations:


    API Stability Consideration:
    The configuration is correctly implemented, generating a base64-encoded password with a specified 16-character length. However, it relies on the alpha API (secretgenerator.mittwald.de/v1alpha1), which inherently carries risks associated with potential breaking changes. The latest stable release of the operator is v3.4.0, yet this does not automatically translate into a stable CRD API. While the current setup is acceptable, please keep an eye on future releases—if a stable CRD version becomes available, consider updating the API version accordingly.

    tofu/gcp/observability_stack/control_plane/infra/outputs.tf (1)

    1-17: LGTM! Well-structured outputs with proper security considerations.

    The outputs are well-defined with:

    • Appropriate sensitive flags for cluster credentials
    • Clear naming conventions
    • Essential cluster access information
    argocd/app_plane/dev/manifests/podmonitor.yaml (1)

    8-10: Verify the empty bearerTokenSecret configuration.

    The bearerTokenSecret configuration has empty values for both key and name. If authentication is required for accessing the metrics endpoint, please ensure these values are properly configured.

    ❌ Verification inconclusive

    🏁 Script executed:

    #!/bin/bash
    # Description: Check if any other PodMonitors in the cluster use bearerTokenSecret
    # to understand if this is a common pattern or if authentication is typically required.
    
    ast-grep --pattern $'kind: PodMonitor {
      $$$
      spec {
        $$$
        podMetricsEndpoints {
          $$$
          bearerTokenSecret {
            $$$
          }
          $$$
        }
        $$$
      }
    }'

    Length of output: 176


    Below is an additional check to search for any usage of bearerTokenSecret in the repository. If other configurations are found, they might shed light on whether non-empty values are standard in our PodMonitor definitions:

    If this returns no other instances with values configured (or if you expect some, please verify manually), it suggests that this empty configuration might be intentional—perhaps because the monitored endpoint does not require authentication. However, if the endpoint does require secure access, proper values (for both the key and name) must be provided.

    Manual Verification Needed for bearerTokenSecret Settings

    • The argocd/app_plane/dev/manifests/podmonitor.yaml file contains an empty configuration for bearerTokenSecret.
    • No other instances with non-empty values were found via our search.
    • Please confirm whether the monitored metrics endpoint is expected to have authentication. If authentication is needed, update the configuration with the proper secret details.

    🏁 Script executed:

    #!/bin/bash
    # Search for all occurrences of bearerTokenSecret in YAML files
    rg "bearerTokenSecret:" -n .

    Length of output: 104


    Manual Verification Required: Confirm bearerTokenSecret Configuration

    • The search indicates that the only occurrence of bearerTokenSecret in our repository is in the file argocd/app_plane/dev/manifests/podmonitor.yaml with empty values.
    • No evidence was found of alternative configurations or non-empty values elsewhere in the codebase.
    • Please verify whether the metrics endpoint indeed requires bearer token authentication. If authentication is required, the secret’s key and name should be correctly specified.
    argocd/ctrl_plane/dev/manifests/letsencrypt-issuer.yaml (1)

    9-9: Note: Using Let's Encrypt staging environment.

    The configuration is currently using the staging ACME server URL. This is good for testing but will issue untrusted certificates. Remember to switch to the production URL before deploying to production:

    -    server: https://acme-staging-v02.api.letsencrypt.org/directory
    +    server: https://acme-v02.api.letsencrypt.org/directory
    tofu/aws/2-org/variables.tf (1)

    1-19: LGTM!

    The variables are well-defined with appropriate types and clear descriptions. The naming convention follows Terraform best practices.

    argocd/ctrl_plane/dev/manifests/grafana-datasource.yaml (1)

    16-17: Review TLS verification settings.

    The configuration has tlsSkipVerify: true, which bypasses TLS certificate verification. This could pose a security risk. Consider implementing proper TLS certificates if this is a production environment.

    argocd/ctrl_plane/dev/vmrules.yaml (1)

    1-22: LGTM! Verify the Git repository access.

    The ArgoCD Application configuration for VictoriaMetrics rules is well-structured. The sync policy with automated pruning and self-healing will ensure consistent rule management.

    Run the following script to verify the Git repository access:

    ✅ Verification successful

    🏁 Script executed:

    #!/bin/bash
    # Description: Verify Git repository access and branch existence.
    
    # Test: Check if the repository is accessible and the branch exists
    gh repo view FalkorDB/falkordb-dbaas
    gh api repos/FalkorDB/falkordb-dbaas/branches/dev --jq '.name'

    Length of output: 2649


    Repository Git Access Verified

    The Git repository "FalkorDB/falkordb-dbaas" is accessible and the branch "dev" exists as expected.

    argocd/ctrl_plane/dev/grafana-dashboards.yaml (1)

    1-21: LGTM! Well-structured configuration for Grafana dashboards.

    The ArgoCD Application configuration is properly set up with server-side apply, which is the recommended approach for managing Grafana dashboards to handle potential conflicts.

    argocd/app_plane/dev/manifests/grafana-datasource.yaml (1)

    16-17: Review TLS verification settings.

    The datasource is configured to skip TLS verification (tlsSkipVerify: true). This could pose security risks in production environments.

    Please confirm if this is intentional and if there are plans to implement proper TLS certificates.

    argocd/ctrl_plane/dev/certmanager.yaml (1)

    14-14: Verify cert-manager version compatibility

    The specified version v1.17.0 seems unusual. Let's verify the latest stable version and its compatibility with your Kubernetes cluster.

    ✅ Verification successful

    🌐 Web query:

    What is the latest stable version of cert-manager?
    

    💡 Result:

    The latest stable version of cert-manager is v1.17.0, released on February 6, 202523. This version includes:

    • Compliance improvements for RSA signatures
    • Simplified password handling for PKCS#12/JKS keystores
    • Dependency updates addressing CVEs like CVE-2024-45337/453382
    • Memory optimizations and Prometheus metrics enhancements[^4]

    Key supporting evidence:

    • Official GitHub releases show v1.17.0 as the latest2
    • Helm charts list this version as current on Artifact Hub3
    • Recent dependency bumps confirm active maintenance24

    For enterprise environments:

    • Red Hat OpenShift supports up to v1.13.6 via their certified operator1
    • Rancher recommends v1.7.x but allows direct upgrades to newer versions5

    Citations:


    Cert-manager version is correctly set

    The latest stable version is indeed v1.17.0 according to the web query details. No changes are needed.

    argocd/ctrl_plane/dev/kubernetes-secret-generator.yaml (1)

    11-11: Verify kubernetes-secret-generator version compatibility

    Let's verify if version 3.4.0 is the latest stable version available.

    ✅ Verification successful

    🌐 Web query:

    What is the latest version of kubernetes-secret-generator Helm chart?
    

    💡 Result:

    The latest version of the kubernetes-secret-generator Helm chart found in search results is 3.4.0, as listed on Artifact Hub under the kubernetes-replicator repository[6]. This information was current as of February 2025 based on available documentation.

    For deployment reference:

    helm repo add kubernetes-replicator https://kubernetes-replicator.github.io/helm-charts
    helm install kubernetes-secret-generator kubernetes-replicator/kubernetes-secret-generator --version 3.4.0

    Note there's another implementation by mittwald (GitHub) that uses different versioning[3], but its documentation doesn't explicitly state a Helm chart version number in search results[3][6].

    Citations:


    Version Check: No update required.

    • The latest version of the kubernetes-secret-generator Helm chart is confirmed to be 3.4.0.
    • The YAML file at argocd/ctrl_plane/dev/kubernetes-secret-generator.yaml correctly specifies targetRevision: 3.4.0.
    argocd/ctrl_plane/dev/grafana-operator.yaml (2)

    22-23: LGTM! Good use of ServerSideApply

    The ServerSideApply option is a good choice for managing complex resources and reducing conflicts.


    10-11: Verify Helm repository URL format and version

    The repository URL ghcr.io/grafana/helm-charts might need to be prefixed with oci://. Also, let's verify the latest stable version.

    ✅ Verification successful

    🌐 Web query:

    What is the correct Helm repository URL format for ghcr.io and the latest version of grafana-operator?
    

    💡 Result:

    The correct Helm repository URL format for installing Grafana Operator from GitHub Container Registry (GHCR) using OCI registry format is:

    OCI-based Helm chart URL:
    oci://ghcr.io/grafana/helm-charts/grafana-operator

    Latest verified version (as of July 2024):
    v5.16.0

    Example installation command combining both:

    helm upgrade -i grafana-operator oci://ghcr.io/grafana/helm-charts/grafana-operator --version v5.16.0

    Key details from official sources:

    1. The OCI registry format requires using oci:// protocol prefix[2][6][9]
    2. GHCR path follows standard container registry patterns: ghcr.io/{ORG}/{REPO}/{CHART}[2][7][10]
    3. Version pinning is recommended using --version flag[2][5][9]
    4. CRDs must be updated separately before upgrades[2][5]

    For non-OCI installations (traditional Helm repos), use:

    helm repo add grafana https://grafana.github.io/helm-charts

    But this method doesn't apply to GHCR-hosted charts[3][8].

    Citations:


    Action Required: Update the Helm Repository URL

    • The correct OCI-based URL for installing Grafana Operator is:
      oci://ghcr.io/grafana/helm-charts/grafana-operator
    • The latest version, v5.16.0, is correctly specified.
    • Recommendation: Update the repoURL in argocd/ctrl_plane/dev/grafana-operator.yaml from ghcr.io/grafana/helm-charts to include the OCI prefix and chart name.
    argocd/ctrl_plane/dev/manifests.yaml (2)

    9-11: Consider using a stable branch for production deployments.

    The source configuration currently targets the dev branch. For production environments, consider using a stable branch, tag, or commit SHA to ensure consistent and reliable deployments.


    1-29: LGTM! Well-structured ArgoCD Application configuration.

    The configuration follows best practices:

    • Automated sync with prune and self-heal for proper GitOps workflow
    • Appropriate namespace creation and Secret handling
    • Clear destination and source specifications
    argocd/app_plane/dev/grafana-operator.yaml (1)

    20-22: Verify Grafana operator version and repository URL.

    The configuration looks good, but let's verify the latest stable version and ensure GHCR is the recommended source.

    ✅ Verification successful

    🌐 Web query:

    What is the latest stable version of the Grafana operator Helm chart? Is GHCR the recommended source?
    

    💡 Result:

    The latest stable version of the Grafana Operator Helm chart is v5.16.0, available through GitHub Container Registry (GHCR) as shown in installation commands across multiple sources[2][5][10]. This version includes support for Grafana 11.3.0, notification templates, and enhanced TLS secret management[10].

    GHCR is explicitly recommended as the source for installation:

    helm upgrade -i grafana-operator oci://ghcr.io/grafana/helm-charts/grafana-operator --version v5.16.0

    This OCI-based installation method is highlighted as standard in both quickstart guides[3][5] and Helm chart documentation[2][7]. The Grafana team maintains these charts directly in GHCR, with explicit instructions to use this registry instead of traditional Helm repos[2][7].

    Key advantages of using GHCR:

    • Direct access to officially maintained charts
    • Version-pinned deployments via OCI artifacts
    • Simplified Terraform integration using oci:// URLs[2]

    For production environments, always reference specific versions like v5.16.0 rather than using floating tags like latest[2][10].

    Citations:


    Grafana Operator configuration verified

    The latest stable version is confirmed as v5.16.0 and GHCR remains the recommended source for the Helm chart. The configuration in argocd/app_plane/dev/grafana-operator.yaml is correct as-is.

    argocd/app_plane/dev/grafana-dashboards.yaml (2)

    1-44: Well-structured ApplicationSet configuration!

    The configuration follows best practices:

    • Uses Go template with strict error handling
    • Implements automated sync with pruning and self-healing
    • Includes server-side apply for better conflict resolution
    • Creates namespace if missing

    16-16: Verify the regex pattern for cluster name extraction.

    The regex pattern h?c-[A-Za-z0-9]+ assumes a specific naming convention. Ensure this pattern matches all your cluster names to prevent application generation failures.

    ❌ Verification inconclusive

    🏁 Script executed:

    #!/bin/bash
    # Description: Verify cluster name patterns match the regex.
    # Get cluster names and validate against the regex pattern
    
    kubectl get clusters -n argocd -o jsonpath='{range .items[*]}{.metadata.name}{"\n"}{end}' | \
      grep -vE "h?c-[A-Za-z0-9]+" || echo "All cluster names match the pattern"

    Length of output: 300


    Action Required: Re-run the Cluster Name Check in a Proper Environment

    The current verification did not truly validate the regex because the kubectl command wasn’t executed (it returned "command not found"). As a result, the message “All cluster names match the pattern” was printed by the fallback and does not confirm that your actual cluster names conform to the pattern.

    • Ensure that the script is executed in an environment where kubectl is available.
    • Verify the cluster naming convention (i.e., whether clusters always start with "hc-" or "c-") matches the intended regex definition.
    • Consider testing with a locally prepared sample of cluster names if setting up a proper Kubernetes environment isn’t immediately feasible.
    observability/rules/containercpulimits.rules.yml (1)

    1-34: Well-designed recording rules for CPU limits monitoring!

    The implementation follows PromQL best practices:

    • Proper metric naming convention
    • Efficient use of label matching and aggregation
    • Correct filtering of pod phases
    observability/rules/containermemorylimits.rules.yml (1)

    1-34: Consistent implementation with CPU metrics rules.

    The implementation follows the same pattern as CPU metrics rules.

    tofu/aws/1-bootstrap/main.tf (1)

    47-58: Review object lock retention period.

    The 14-day COMPLIANCE mode lock might be too restrictive for rapid infrastructure changes. Consider:

    1. Using GOVERNANCE mode instead for more flexibility
    2. Adjusting the retention period based on your deployment cycles
    ✅ Verification successful

    🌐 Web query:

    What are the differences between S3 Object Lock COMPLIANCE and GOVERNANCE modes?
    

    💡 Result:

    Amazon S3 Object Lock provides two retention modes (COMPLIANCE and GOVERNANCE) to enforce Write-Once-Read-Many (WORM) protection with different levels of flexibility and security:

    Key Differences

    Retention Enforcement

    • COMPLIANCE:
      • No user (including root account) can modify/delete objects or adjust retention settings during the lock period[1][3][9]
      • Retention period cannot be shortened once set[1][7]
    • GOVERNANCE:
      • Special permissions (s3:BypassGovernanceRetention) allow authorized users to modify/delete objects or adjust retention settings[1][4][7]
      • Requires explicit bypass header (x-amz-bypass-governance-retention:true) for modifications[4]

    Use Cases

    COMPLIANCE GOVERNANCE
    Regulatory Requirements SEC 17a-4(f), FINRA 4511, CFTC 1.31 compliance[1][9] Internal data protection policies
    Flexibility Zero modification capability during retention[3][8] Controlled exceptions via permissions[7][9]
    Implementation Final production environments[7] Testing retention configurations[1][7]

    Security Model

    • COMPLIANCE offers absolute immutability with no override options[3][9]
    • GOVERNANCE maintains audit trails through required permissions and explicit bypass actions[4][7]

    Both modes work with S3 Versioning and maintain protection through storage class transitions[1]. Legal holds can be applied independently in either mode to extend protection indefinitely[9].

    Citations:


    Action: Reassess the S3 Object Lock retention mode.
    Based on the differences:

    • COMPLIANCE Mode:

      • Provides absolute immutability—no one can bypass or alter the lock during the retention period.
      • Once set, the retention period cannot be shortened.
    • GOVERNANCE Mode:

      • Allows authorized users (with the appropriate s3:BypassGovernanceRetention permission and header) to override the retention settings if necessary.
      • Offers more flexibility for rapid infrastructure changes while maintaining audit capabilities.

    The 14-day COMPLIANCE lock is indeed very strict, which could hinder rapid changes. If your deployment cycles require occasional overrides or adjustments, switching to GOVERNANCE mode or revising the retention period might be more appropriate.

    argocd/ctrl_plane/dev/vmusers.yaml (1)

    16-16: Verify regex pattern reliability and add validation.

    The regex pattern h?c-[A-Za-z0-9]+ is used for name extraction. Consider:

    1. Adding a comment explaining the expected format
    2. Implementing validation to handle cases where the pattern doesn't match

    Also applies to: 31-40

    ❌ Verification inconclusive

    🏁 Script executed:

    #!/bin/bash
    # Description: Check if cluster names match the expected pattern
    
    # Get all cluster names with app-plane role
    kubectl get clusters -l role=app-plane -o jsonpath='{.items[*].metadata.name}' | tr ' ' '\n' | while read -r name; do
      if ! [[ $name =~ ^h?c-[A-Za-z0-9]+$ ]]; then
        echo "Warning: Cluster name '$name' doesn't match expected pattern"
      fi
    done

    Length of output: 207


    Regex Validation Requires Manual Verification

    The test script did not produce the expected output because the kubectl command was not found. This prevents us from verifying whether the regex pattern reliably matches the intended cluster names. Please re-run the script in an environment where kubectl is available and ensure that cluster names are correctly validated. Alternatively, perform manual verification to check if the regex extracts the desired value and handles unmatched cases appropriately.

    observability/rules/node.rules.yml (1)

    1-58: LGTM! Well-structured node monitoring rules.

    The recording rules follow best practices for Kubernetes node monitoring, including CPU utilization, memory availability, and node information collection.

    argocd/ctrl_plane/dev/manifests/grafana.yaml (1)

    52-72: Verify TLS configuration for ingress.

    The ingress is configured with TLS, but ensure:

    1. The certificate is properly managed by GKE
    2. The secret 'core-cert' exists in the cluster
    ❌ Verification inconclusive

    🏁 Script executed:

    #!/bin/bash
    # Check if the managed certificate exists
    kubectl get managedcertificate grafana-managed-cert -n observability
    
    # Verify the TLS secret exists
    kubectl get secret core-cert -n observability

    Length of output: 314


    TLS Ingress Configuration: Manual Verification Required

    The shell script output indicates that the kubectl command wasn’t available in this environment, so we couldn’t automatically verify whether the managed certificate (grafana-managed-cert) and the TLS secret (core-cert) exist in the observability namespace. Please run these commands manually in an environment where kubectl is available to confirm that:

    • The managed certificate grafana-managed-cert is properly configured and associated in GKE.
    • The secret core-cert exists in the observability namespace and holds the expected TLS certificate data.
    README.md (1)

    18-40: LGTM! Clear and well-organized documentation.

    The script descriptions are concise and informative, providing a good overview of available tools.

    🧰 Tools
    🪛 LanguageTool

    [style] ~21-~21: Three successive sentences begin with the same word. Consider rewording the sentence or use a thesaurus to find a synonym.
    Context: ...ade.sh: Upgrade OpenTofu dependency. 4. tofu_new_workspace.sh: Create workspace for ...

    (ENGLISH_WORD_REPEAT_BEGINNING_RULE)


    [style] ~22-~22: Three successive sentences begin with the same word. Consider rewording the sentence or use a thesaurus to find a synonym.
    Context: ...sh: Create workspace for deployment. 5. tofu_select_workspace.sh: Switch between wor...

    (ENGLISH_WORD_REPEAT_BEGINNING_RULE)


    [style] ~23-~23: Three successive sentences begin with the same word. Consider rewording the sentence or use a thesaurus to find a synonym.
    Context: ...space.sh: Switch between workspaces. 6. tofu_delete_workspace.sh: Delete workspace. ...

    (ENGLISH_WORD_REPEAT_BEGINNING_RULE)


    [style] ~24-~24: Three successive sentences begin with the same word. Consider rewording the sentence or use a thesaurus to find a synonym.
    Context: ...lete_workspace.sh: Delete workspace. 7. tofu_list_workspace.sh: List available works...

    (ENGLISH_WORD_REPEAT_BEGINNING_RULE)


    [uncategorized] ~24-~24: Possible missing preposition found.
    Context: ...kspace. 7. tofu_list_workspace.sh: List available workspaces. 8. tofu_plan.sh: Generate e...

    (AI_HYDRA_LEO_MISSING_OF)


    [style] ~25-~25: Three successive sentences begin with the same word. Consider rewording the sentence or use a thesaurus to find a synonym.
    Context: ...space.sh: List available workspaces. 8. tofu_plan.sh: Generate execution plan to be ...

    (ENGLISH_WORD_REPEAT_BEGINNING_RULE)


    [style] ~26-~26: Three successive sentences begin with the same word. Consider rewording the sentence or use a thesaurus to find a synonym.
    Context: ...erate execution plan to be deployed. 9. tofu_plan_aws.sh: Generate execution plan to...

    (ENGLISH_WORD_REPEAT_BEGINNING_RULE)


    [style] ~27-~27: Three successive sentences begin with the same word. Consider rewording the sentence or use a thesaurus to find a synonym.
    Context: ... to be deployed for the AWS target. 10. tofu_plan_k8s.sh: Generate execution plan to...

    (ENGLISH_WORD_REPEAT_BEGINNING_RULE)


    [style] ~28-~28: Three successive sentences begin with the same word. Consider rewording the sentence or use a thesaurus to find a synonym.
    Context: ... to be deployed for the K8S target. 11. tofu_apply.sh: Deploy the plan to the cloud ...

    (ENGLISH_WORD_REPEAT_BEGINNING_RULE)


    [style] ~29-~29: Three successive sentences begin with the same word. Consider rewording the sentence or use a thesaurus to find a synonym.
    Context: ...loy the plan to the cloud provider. 12. tofu_apply_aws.sh: Deploy the AWS target to ...

    (ENGLISH_WORD_REPEAT_BEGINNING_RULE)


    [style] ~30-~30: Three successive sentences begin with the same word. Consider rewording the sentence or use a thesaurus to find a synonym.
    Context: ...e AWS target to the cloud provider. 13. tofu_apply_k8s.sh: Deploy the K8S target to ...

    (ENGLISH_WORD_REPEAT_BEGINNING_RULE)


    [style] ~31-~31: Three successive sentences begin with the same word. Consider rewording the sentence or use a thesaurus to find a synonym.
    Context: ...e K8S target to the cloud provider. 14. tofu_destroy.sh: Delete the deployment from ...

    (ENGLISH_WORD_REPEAT_BEGINNING_RULE)


    [style] ~32-~32: Three successive sentences begin with the same word. Consider rewording the sentence or use a thesaurus to find a synonym.
    Context: ...deployment from the cloud provider. 15. tofu_output.sh: Show deployment output. 16. ...

    (ENGLISH_WORD_REPEAT_BEGINNING_RULE)


    [style] ~33-~33: Three successive sentences begin with the same word. Consider rewording the sentence or use a thesaurus to find a synonym.
    Context: ..._output.sh: Show deployment output. 16. tofu_show.sh: Show the state configuration. ...

    (ENGLISH_WORD_REPEAT_BEGINNING_RULE)


    [style] ~34-~34: Three successive sentences begin with the same word. Consider rewording the sentence or use a thesaurus to find a synonym.
    Context: ...w.sh: Show the state configuration. 17. tofu_test.sh: Run Tofu tests. 18. aws_update...

    (ENGLISH_WORD_REPEAT_BEGINNING_RULE)


    [style] ~38-~38: Three successive sentences begin with the same word. Consider rewording the sentence or use a thesaurus to find a synonym.
    Context: ... Port forward into the grafana gui. 21. kubectl_connect_prometheus.sh: Port forward int...

    (ENGLISH_WORD_REPEAT_BEGINNING_RULE)


    [style] ~39-~39: Three successive sentences begin with the same word. Consider rewording the sentence or use a thesaurus to find a synonym.
    Context: ...rt forward into the prometheus gui. 22. kubectl_connect_alertmanager.sh: Port forward i...

    (ENGLISH_WORD_REPEAT_BEGINNING_RULE)

    observability/rules/general.rules.yml (1)

    1-49: LGTM! Well-documented alerting rules with appropriate thresholds.

    The alerting rules are well-structured with:

    • Clear descriptions and runbook URLs
    • Appropriate thresholds for target monitoring
    • Good use of inhibition patterns for info-level alerts
    observability/rules/vmoperator.rules.yml (1)

    1-75: LGTM! Well-structured alert rules for VictoriaMetrics operator monitoring.

    The alert rules are comprehensive and well-designed with:

    • Appropriate thresholds and evaluation periods
    • Clear descriptions and summaries
    • Helpful dashboard links for troubleshooting
    • Proper severity levels
    observability/rules/kube-state-metrics.rules.yml (1)

    1-61: LGTM! Comprehensive alert rules for kube-state-metrics monitoring.

    The alert rules are well-implemented with:

    • Appropriate error rate thresholds (1%)
    • Reasonable evaluation periods
    • Helpful runbook links for troubleshooting
    • Critical severity for potential metric exposure issues
    tofu/aws/3-application_plane/main.tf (1)

    108-120: Consider enabling the CloudTrail module.

    The CloudTrail module is commented out but appears ready for use. Consider enabling it to enhance audit logging capabilities.

    Would you like me to help you enable and configure the CloudTrail module?

    tofu/gcp/observability_stack/control_plane/infra/main.tf (2)

    1-8: Address TODO comment about IP range.

    The TODO comment suggests changing the subnet range to /24, but this might be too restrictive for the current setup. Please verify the IP range requirements.

    Would you like me to help analyze the IP range requirements based on the node pools and services configuration?


    128-130: Set master_ipv4_cidr_block for GKE cluster.

    The master CIDR block is currently commented out. This should be set to ensure proper network isolation for the control plane.

    Would you like me to help calculate an appropriate CIDR block that doesn't overlap with other ranges?

    scripts/add_cluster.sh (1)

    14-18: LGTM! Robust error handling setup.

    The script implements proper error handling with line number reporting and interrupt handling.

    observability/grafana/dashboards/vmauth.json (1)

    1-25: LGTM! Well-structured dashboard configuration.

    The dashboard is properly configured with:

    • Clear description and version requirements
    • Built-in annotations for alerts
    • Appropriate metadata
    observability/grafana/dashboards/namespace-overview.json (1)

    2603-2609: LGTM! Appropriate refresh rate and tagging.

    The dashboard configuration includes:

    • 30-second refresh rate
    • Relevant tags for Kubernetes and Prometheus
    • Proper schema version
    argocd/ctrl_plane/dev/kustomize/vmuser/kustomization.yaml (2)

    1-4: LGTM! Well-structured Kustomization configuration.

    The configuration follows the standard format with appropriate apiVersion and descriptive metadata name.


    5-8: Verify the referenced resources exist and follow security best practices.

    The namespace and resource references look good. Please ensure:

    1. Both vmuser.yaml and string-secret.yaml exist in the same directory
    2. The StringSecret follows security best practices for credential management
    ✅ Verification successful

    🏁 Script executed:

    #!/bin/bash
    # Description: Verify the existence of referenced resources and check for potential security issues
    
    # Check if the referenced files exist
    fd -t f "vmuser.yaml|string-secret.yaml" "argocd/ctrl_plane/dev/kustomize/vmuser"
    
    # Check for potential security issues in the secret configuration
    rg -i "password:|secret:|key:" "argocd/ctrl_plane/dev/kustomize/vmuser/string-secret.yaml"

    Length of output: 281


    Resource Verification Complete: Both files exist and show no obvious security issues.

    • Confirmed that vmuser.yaml and string-secret.yaml are present in argocd/ctrl_plane/dev/kustomize/vmuser
    • No plain-text sensitive keys (e.g., password, secret, key) were found in string-secret.yaml
    🧰 Tools
    🪛 YAMLlint (1.35.1)

    [error] 8-8: no new line character at the end of file

    (new-line-at-end-of-file)

    Footnotes

    1. Red Hat OpenShift Operator Release Notes 2

    2. GitHub Release Notes v1.17.0 2 3 4

    3. Artifact Hub Helm Chart Listing 2

    4. Cert-manager Project Homepage

    5. Rancher Compatibility Docs

    content: |-
    prometheus.remote_write "in_cluster" {
    endpoint {
    url = "http://vmsingle-vm.observability.svc.cluster.local:8429/prometheus/api/v1/write"
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    💡 Verification agent

    🧩 Analysis chain

    Verify VictoriaMetrics endpoint availability.

    The remote write endpoint assumes VictoriaMetrics is deployed in the observability namespace. Ensure the service exists and is accessible.


    🏁 Script executed:

    #!/bin/bash
    # Check if the VictoriaMetrics service exists in the observability namespace
    kubectl get svc vmsingle-vm -n observability 2>/dev/null || echo "Service not found"

    Length of output: 91


    VictoriaMetrics service not found

    The verification script clearly shows that the VictoriaMetrics service ("vmsingle-vm") is missing in the "observability" namespace, meaning that the remote write endpoint is currently unreachable. Please verify the deployment details or update the endpoint if the expected service name differs.

    Comment on lines +291 to +292
    nodeSelector:
    node_pool: observability-resources
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    💡 Verification agent

    🧩 Analysis chain

    Verify node pool existence.

    Ensure the node pool with label node_pool: observability-resources exists in your GKE/EKS clusters.


    🏁 Script executed:

    #!/bin/bash
    # Check if nodes with the required label exist
    kubectl get nodes -l node_pool=observability-resources 2>/dev/null || echo "No nodes found with required label"

    Length of output: 135


    Action Required: Node Pool "observability-resources" not found

    The script output indicates that no nodes have the label node_pool=observability-resources in the current cluster configuration. Please verify if:

    • The node pool is intended to exist in this cluster.
    • The pool has been correctly labeled.
    • A configuration update is required either in the cluster or in the ArgoCD manifest.

    scripts/add_cluster.sh Show resolved Hide resolved
    scripts/add_cluster.sh Show resolved Hide resolved
    argocd/app_plane/dev/alloy.yaml Show resolved Hide resolved
    observability/grafana/dashboards/vmauth.json Show resolved Hide resolved
    @dudizimber dudizimber changed the title Dev add observability Feb 11, 2025
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    Actionable comments posted: 0

    🔭 Outside diff range comments (1)
    README.md (1)

    1-56: 🛠️ Refactor suggestion

    Add documentation for the observability stack.

    Given this PR's focus on observability enhancements, please add a new section documenting:

    • Observability stack architecture
    • Components (VictoriaMetrics, Grafana, etc.)
    • ArgoCD integration
    • Monitoring and alerting setup
    🧰 Tools
    🪛 LanguageTool

    [style] ~21-~21: Three successive sentences begin with the same word. Consider rewording the sentence or use a thesaurus to find a synonym.
    Context: ...ade.sh: Upgrade OpenTofu dependency. 4. tofu_new_workspace.sh: Create workspace for ...

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    [style] ~22-~22: Three successive sentences begin with the same word. Consider rewording the sentence or use a thesaurus to find a synonym.
    Context: ...sh: Create workspace for deployment. 5. tofu_select_workspace.sh: Switch between wor...

    (ENGLISH_WORD_REPEAT_BEGINNING_RULE)


    [style] ~23-~23: Three successive sentences begin with the same word. Consider rewording the sentence or use a thesaurus to find a synonym.
    Context: ...space.sh: Switch between workspaces. 6. tofu_delete_workspace.sh: Delete workspace. ...

    (ENGLISH_WORD_REPEAT_BEGINNING_RULE)


    [style] ~24-~24: Three successive sentences begin with the same word. Consider rewording the sentence or use a thesaurus to find a synonym.
    Context: ...lete_workspace.sh: Delete workspace. 7. tofu_list_workspace.sh: List available works...

    (ENGLISH_WORD_REPEAT_BEGINNING_RULE)


    [uncategorized] ~24-~24: Possible missing preposition found.
    Context: ...kspace. 7. tofu_list_workspace.sh: List available workspaces. 8. tofu_plan.sh: Generate e...

    (AI_HYDRA_LEO_MISSING_OF)


    [style] ~25-~25: Three successive sentences begin with the same word. Consider rewording the sentence or use a thesaurus to find a synonym.
    Context: ...space.sh: List available workspaces. 8. tofu_plan.sh: Generate execution plan to be ...

    (ENGLISH_WORD_REPEAT_BEGINNING_RULE)


    [style] ~26-~26: Three successive sentences begin with the same word. Consider rewording the sentence or use a thesaurus to find a synonym.
    Context: ...erate execution plan to be deployed. 9. tofu_plan_aws.sh: Generate execution plan to...

    (ENGLISH_WORD_REPEAT_BEGINNING_RULE)


    [style] ~27-~27: Three successive sentences begin with the same word. Consider rewording the sentence or use a thesaurus to find a synonym.
    Context: ... to be deployed for the AWS target. 10. tofu_plan_k8s.sh: Generate execution plan to...

    (ENGLISH_WORD_REPEAT_BEGINNING_RULE)


    [style] ~28-~28: Three successive sentences begin with the same word. Consider rewording the sentence or use a thesaurus to find a synonym.
    Context: ... to be deployed for the K8S target. 11. tofu_apply.sh: Deploy the plan to the cloud ...

    (ENGLISH_WORD_REPEAT_BEGINNING_RULE)


    [style] ~29-~29: Three successive sentences begin with the same word. Consider rewording the sentence or use a thesaurus to find a synonym.
    Context: ...loy the plan to the cloud provider. 12. tofu_apply_aws.sh: Deploy the AWS target to ...

    (ENGLISH_WORD_REPEAT_BEGINNING_RULE)


    [style] ~30-~30: Three successive sentences begin with the same word. Consider rewording the sentence or use a thesaurus to find a synonym.
    Context: ...e AWS target to the cloud provider. 13. tofu_apply_k8s.sh: Deploy the K8S target to ...

    (ENGLISH_WORD_REPEAT_BEGINNING_RULE)


    [style] ~31-~31: Three successive sentences begin with the same word. Consider rewording the sentence or use a thesaurus to find a synonym.
    Context: ...e K8S target to the cloud provider. 14. tofu_destroy.sh: Delete the deployment from ...

    (ENGLISH_WORD_REPEAT_BEGINNING_RULE)


    [style] ~32-~32: Three successive sentences begin with the same word. Consider rewording the sentence or use a thesaurus to find a synonym.
    Context: ...deployment from the cloud provider. 15. tofu_output.sh: Show deployment output. 16. ...

    (ENGLISH_WORD_REPEAT_BEGINNING_RULE)


    [style] ~33-~33: Three successive sentences begin with the same word. Consider rewording the sentence or use a thesaurus to find a synonym.
    Context: ..._output.sh: Show deployment output. 16. tofu_show.sh: Show the state configuration. ...

    (ENGLISH_WORD_REPEAT_BEGINNING_RULE)


    [style] ~34-~34: Three successive sentences begin with the same word. Consider rewording the sentence or use a thesaurus to find a synonym.
    Context: ...w.sh: Show the state configuration. 17. tofu_test.sh: Run Tofu tests. 18. aws_update...

    (ENGLISH_WORD_REPEAT_BEGINNING_RULE)


    [style] ~38-~38: Three successive sentences begin with the same word. Consider rewording the sentence or use a thesaurus to find a synonym.
    Context: ... Port forward into the grafana gui. 21. kubectl_connect_prometheus.sh: Port forward int...

    (ENGLISH_WORD_REPEAT_BEGINNING_RULE)


    [style] ~39-~39: Three successive sentences begin with the same word. Consider rewording the sentence or use a thesaurus to find a synonym.
    Context: ...rt forward into the prometheus gui. 22. kubectl_connect_alertmanager.sh: Port forward i...

    (ENGLISH_WORD_REPEAT_BEGINNING_RULE)

    🧹 Nitpick comments (1)
    README.md (1)

    18-18: Enhance documentation for the new add_cluster.sh script.

    Given this script's importance in setting up observability, please provide more detailed documentation including:

    • Required environment variables
    • Prerequisites (e.g., gum CLI tool)
    • Step-by-step usage instructions
    • Expected outcomes
    📜 Review details

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    📒 Files selected for processing (1)
    • README.md (1 hunks)
    🧰 Additional context used
    🪛 LanguageTool
    README.md

    [style] ~21-~21: Three successive sentences begin with the same word. Consider rewording the sentence or use a thesaurus to find a synonym.
    Context: ...ade.sh: Upgrade OpenTofu dependency. 4. tofu_new_workspace.sh: Create workspace for ...

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    [style] ~22-~22: Three successive sentences begin with the same word. Consider rewording the sentence or use a thesaurus to find a synonym.
    Context: ...sh: Create workspace for deployment. 5. tofu_select_workspace.sh: Switch between wor...

    (ENGLISH_WORD_REPEAT_BEGINNING_RULE)


    [style] ~23-~23: Three successive sentences begin with the same word. Consider rewording the sentence or use a thesaurus to find a synonym.
    Context: ...space.sh: Switch between workspaces. 6. tofu_delete_workspace.sh: Delete workspace. ...

    (ENGLISH_WORD_REPEAT_BEGINNING_RULE)


    [style] ~24-~24: Three successive sentences begin with the same word. Consider rewording the sentence or use a thesaurus to find a synonym.
    Context: ...lete_workspace.sh: Delete workspace. 7. tofu_list_workspace.sh: List available works...

    (ENGLISH_WORD_REPEAT_BEGINNING_RULE)


    [uncategorized] ~24-~24: Possible missing preposition found.
    Context: ...kspace. 7. tofu_list_workspace.sh: List available workspaces. 8. tofu_plan.sh: Generate e...

    (AI_HYDRA_LEO_MISSING_OF)


    [style] ~25-~25: Three successive sentences begin with the same word. Consider rewording the sentence or use a thesaurus to find a synonym.
    Context: ...space.sh: List available workspaces. 8. tofu_plan.sh: Generate execution plan to be ...

    (ENGLISH_WORD_REPEAT_BEGINNING_RULE)


    [style] ~26-~26: Three successive sentences begin with the same word. Consider rewording the sentence or use a thesaurus to find a synonym.
    Context: ...erate execution plan to be deployed. 9. tofu_plan_aws.sh: Generate execution plan to...

    (ENGLISH_WORD_REPEAT_BEGINNING_RULE)


    [style] ~27-~27: Three successive sentences begin with the same word. Consider rewording the sentence or use a thesaurus to find a synonym.
    Context: ... to be deployed for the AWS target. 10. tofu_plan_k8s.sh: Generate execution plan to...

    (ENGLISH_WORD_REPEAT_BEGINNING_RULE)


    [style] ~28-~28: Three successive sentences begin with the same word. Consider rewording the sentence or use a thesaurus to find a synonym.
    Context: ... to be deployed for the K8S target. 11. tofu_apply.sh: Deploy the plan to the cloud ...

    (ENGLISH_WORD_REPEAT_BEGINNING_RULE)


    [style] ~29-~29: Three successive sentences begin with the same word. Consider rewording the sentence or use a thesaurus to find a synonym.
    Context: ...loy the plan to the cloud provider. 12. tofu_apply_aws.sh: Deploy the AWS target to ...

    (ENGLISH_WORD_REPEAT_BEGINNING_RULE)


    [style] ~30-~30: Three successive sentences begin with the same word. Consider rewording the sentence or use a thesaurus to find a synonym.
    Context: ...e AWS target to the cloud provider. 13. tofu_apply_k8s.sh: Deploy the K8S target to ...

    (ENGLISH_WORD_REPEAT_BEGINNING_RULE)


    [style] ~31-~31: Three successive sentences begin with the same word. Consider rewording the sentence or use a thesaurus to find a synonym.
    Context: ...e K8S target to the cloud provider. 14. tofu_destroy.sh: Delete the deployment from ...

    (ENGLISH_WORD_REPEAT_BEGINNING_RULE)


    [style] ~32-~32: Three successive sentences begin with the same word. Consider rewording the sentence or use a thesaurus to find a synonym.
    Context: ...deployment from the cloud provider. 15. tofu_output.sh: Show deployment output. 16. ...

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    [style] ~33-~33: Three successive sentences begin with the same word. Consider rewording the sentence or use a thesaurus to find a synonym.
    Context: ..._output.sh: Show deployment output. 16. tofu_show.sh: Show the state configuration. ...

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    [style] ~34-~34: Three successive sentences begin with the same word. Consider rewording the sentence or use a thesaurus to find a synonym.
    Context: ...w.sh: Show the state configuration. 17. tofu_test.sh: Run Tofu tests. 18. aws_update...

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    [style] ~38-~38: Three successive sentences begin with the same word. Consider rewording the sentence or use a thesaurus to find a synonym.
    Context: ... Port forward into the grafana gui. 21. kubectl_connect_prometheus.sh: Port forward int...

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    [style] ~39-~39: Three successive sentences begin with the same word. Consider rewording the sentence or use a thesaurus to find a synonym.
    Context: ...rt forward into the prometheus gui. 22. kubectl_connect_alertmanager.sh: Port forward i...

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    🔇 Additional comments (1)
    README.md (1)

    19-40: LGTM! Well-organized script listing.

    The reordering maintains a logical grouping of related scripts while preserving clear descriptions.

    🧰 Tools
    🪛 LanguageTool

    [style] ~21-~21: Three successive sentences begin with the same word. Consider rewording the sentence or use a thesaurus to find a synonym.
    Context: ...ade.sh: Upgrade OpenTofu dependency. 4. tofu_new_workspace.sh: Create workspace for ...

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    [style] ~22-~22: Three successive sentences begin with the same word. Consider rewording the sentence or use a thesaurus to find a synonym.
    Context: ...sh: Create workspace for deployment. 5. tofu_select_workspace.sh: Switch between wor...

    (ENGLISH_WORD_REPEAT_BEGINNING_RULE)


    [style] ~23-~23: Three successive sentences begin with the same word. Consider rewording the sentence or use a thesaurus to find a synonym.
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    Context: ...kspace. 7. tofu_list_workspace.sh: List available workspaces. 8. tofu_plan.sh: Generate e...

    (AI_HYDRA_LEO_MISSING_OF)


    [style] ~25-~25: Three successive sentences begin with the same word. Consider rewording the sentence or use a thesaurus to find a synonym.
    Context: ...space.sh: List available workspaces. 8. tofu_plan.sh: Generate execution plan to be ...

    (ENGLISH_WORD_REPEAT_BEGINNING_RULE)


    [style] ~26-~26: Three successive sentences begin with the same word. Consider rewording the sentence or use a thesaurus to find a synonym.
    Context: ...erate execution plan to be deployed. 9. tofu_plan_aws.sh: Generate execution plan to...

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    [style] ~27-~27: Three successive sentences begin with the same word. Consider rewording the sentence or use a thesaurus to find a synonym.
    Context: ... to be deployed for the AWS target. 10. tofu_plan_k8s.sh: Generate execution plan to...

    (ENGLISH_WORD_REPEAT_BEGINNING_RULE)


    [style] ~28-~28: Three successive sentences begin with the same word. Consider rewording the sentence or use a thesaurus to find a synonym.
    Context: ... to be deployed for the K8S target. 11. tofu_apply.sh: Deploy the plan to the cloud ...

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    [style] ~29-~29: Three successive sentences begin with the same word. Consider rewording the sentence or use a thesaurus to find a synonym.
    Context: ...loy the plan to the cloud provider. 12. tofu_apply_aws.sh: Deploy the AWS target to ...

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    [style] ~30-~30: Three successive sentences begin with the same word. Consider rewording the sentence or use a thesaurus to find a synonym.
    Context: ...e AWS target to the cloud provider. 13. tofu_apply_k8s.sh: Deploy the K8S target to ...

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    [style] ~31-~31: Three successive sentences begin with the same word. Consider rewording the sentence or use a thesaurus to find a synonym.
    Context: ...e K8S target to the cloud provider. 14. tofu_destroy.sh: Delete the deployment from ...

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    [style] ~32-~32: Three successive sentences begin with the same word. Consider rewording the sentence or use a thesaurus to find a synonym.
    Context: ...deployment from the cloud provider. 15. tofu_output.sh: Show deployment output. 16. ...

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    [style] ~33-~33: Three successive sentences begin with the same word. Consider rewording the sentence or use a thesaurus to find a synonym.
    Context: ..._output.sh: Show deployment output. 16. tofu_show.sh: Show the state configuration. ...

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    [style] ~34-~34: Three successive sentences begin with the same word. Consider rewording the sentence or use a thesaurus to find a synonym.
    Context: ...w.sh: Show the state configuration. 17. tofu_test.sh: Run Tofu tests. 18. aws_update...

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    [style] ~38-~38: Three successive sentences begin with the same word. Consider rewording the sentence or use a thesaurus to find a synonym.
    Context: ... Port forward into the grafana gui. 21. kubectl_connect_prometheus.sh: Port forward int...

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    [style] ~39-~39: Three successive sentences begin with the same word. Consider rewording the sentence or use a thesaurus to find a synonym.
    Context: ...rt forward into the prometheus gui. 22. kubectl_connect_alertmanager.sh: Port forward i...

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    MuhammadQadora
    MuhammadQadora previously approved these changes Feb 11, 2025
    tofu/aws/3-application_plane/main.tf Outdated Show resolved Hide resolved
    tofu/gcp/observability_stack/control_plane/infra/main.tf Outdated Show resolved Hide resolved
    tofu/gcp/observability_stack/control_plane/infra/main.tf Outdated Show resolved Hide resolved
    extract ip ranges to variables
    remove psc subnet
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    Actionable comments posted: 3

    🧹 Nitpick comments (1)
    tofu/gcp/observability_stack/control_plane/infra/main.tf (1)

    6-34: Consider adding VPC flow logs for enhanced network visibility.

    Given this is an observability stack, enabling VPC flow logs would provide valuable network traffic insights.

     module "vpc" {
       source  = "terraform-google-modules/network/google"
       version = "~> 9.0"
    
       project_id = var.project_id
    
       network_name            = "observability-stack-network"
       routing_mode            = "REGIONAL"
       auto_create_subnetworks = false
    
    +  # Enable flow logs for better network observability
    +  enable_flow_logs = true
    +  flow_logs_sampling = 0.5
    +  flow_logs_metadata = "INCLUDE_ALL_METADATA"
    📜 Review details

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    Review profile: CHILL
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    📥 Commits

    Reviewing files that changed from the base of the PR and between 19a064c and b7203aa.

    📒 Files selected for processing (3)
    • tofu/aws/3-application_plane/main.tf (1 hunks)
    • tofu/gcp/observability_stack/control_plane/infra/main.tf (1 hunks)
    • tofu/gcp/observability_stack/control_plane/infra/variables.tf (1 hunks)
    🧰 Additional context used
    🪛 Checkov (3.2.334)
    tofu/aws/3-application_plane/main.tf

    [HIGH] 59-70: Ensure Terraform module sources use a tag with a version number

    (CKV_TF_2)


    [HIGH] 95-106: Ensure Terraform module sources use a tag with a version number

    (CKV_TF_2)

    🔇 Additional comments (8)
    tofu/aws/3-application_plane/main.tf (5)

    2-21: LGTM! Well-structured organization and account management.

    The implementation follows AWS best practices with proper error handling using try() and a clear naming convention for S3 buckets.


    23-25: LGTM! Good choice for bucket name uniqueness.

    Using 4 bytes provides sufficient randomization while keeping bucket names reasonably short.


    28-33: LGTM! Secure provider configuration.

    The implementation follows AWS security best practices by using role assumption with the organization account access role.


    59-70: Add version tag to the S3 bucket module.

    The module source should include a version tag for better version control and reproducibility.

    -  source                   = "trussworks/s3-private-bucket/aws"
    +  source                   = "trussworks/s3-private-bucket/aws?ref=v5.3.1"
    🧰 Tools
    🪛 Checkov (3.2.334)

    [HIGH] 59-70: Ensure Terraform module sources use a tag with a version number

    (CKV_TF_2)


    95-106: Add version tag to the access logs S3 bucket module.

    The module source should include a version tag for better version control and reproducibility.

    -  source                   = "trussworks/s3-private-bucket/aws"
    +  source                   = "trussworks/s3-private-bucket/aws?ref=v5.3.1"
    🧰 Tools
    🪛 Checkov (3.2.334)

    [HIGH] 95-106: Ensure Terraform module sources use a tag with a version number

    (CKV_TF_2)

    tofu/gcp/observability_stack/control_plane/infra/main.tf (3)

    143-170: Verify the high max node count in public node pool.

    The public node pool's max_node_count of 220 seems unusually high and could lead to significant costs if autoscaling reaches this limit.

    Consider if this is intentionally sized for your workload requirements.


    172-208: LGTM! Storage bucket configuration looks secure and well-optimized.

    The storage bucket configuration includes:

    • Enforced public access prevention
    • Appropriate lifecycle rules for cost optimization
    • Regional location matching the cluster

    87-141: Review GKE cluster security configurations.

    Several security-related concerns in the GKE cluster configuration:

    1. Legacy metadata endpoints are enabled (disable_legacy_metadata_endpoints = false)
    2. Network policy is disabled (network_policy = false)
    3. Basic security posture mode might not be sufficient for production
    ❌ Verification inconclusive

    🏁 Script executed:

    #!/bin/bash
    # Check if any existing GKE clusters in the organization use enhanced security settings
    gcloud container clusters list --format="table(name,securityPosture.mode,networkPolicy.enabled)" --filter="status=RUNNING"

    Length of output: 219


    GKE Cluster Security Settings Require Manual Verification

    The code snippet indicates that legacy metadata endpoints are enabled (disable_legacy_metadata_endpoints = false), network policy is disabled (network_policy = false), and a basic security posture is set, which are valid security concerns. However, the initial gcloud command could not run (gcloud is not installed in this environment), so we could not automatically verify the runtime settings. Please manually verify the live GKE cluster configurations using an environment where gcloud is available.

    Comment on lines +1 to +3
    variable "project_id" {
    type = string
    }
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    🛠️ Refactor suggestion

    Add description and validation for project_id variable.

    The variable lacks a description and validation rules. This information is crucial for users of the module.

     variable "project_id" {
       type = string
    +  description = "The GCP project ID where resources will be created"
    +  validation {
    +    condition     = can(regex("^[a-z][a-z0-9-]{4,28}[a-z0-9]$", var.project_id))
    +    error_message = "Project ID must be between 6 and 30 characters, start with a letter, and contain only lowercase letters, numbers, and hyphens."
    +  }
     }
    📝 Committable suggestion

    ‼️ IMPORTANT
    Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

    Suggested change
    variable "project_id" {
    type = string
    }
    variable "project_id" {
    type = string
    description = "The GCP project ID where resources will be created"
    validation {
    condition = can(regex("^[a-z][a-z0-9-]{4,28}[a-z0-9]$", var.project_id))
    error_message = "Project ID must be between 6 and 30 characters, start with a letter, and contain only lowercase letters, numbers, and hyphens."
    }
    }

    Comment on lines +9 to +19
    variable "ip_range_subnet" {
    type = string
    }

    variable "ip_range_pods" {
    type = string
    }

    variable "ip_range_services" {
    type = string
    }
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    🛠️ Refactor suggestion

    Add descriptions and CIDR validation for IP range variables.

    The IP range variables lack descriptions and CIDR validation rules.

     variable "ip_range_subnet" {
       type = string
    +  description = "The primary IP range for the subnet in CIDR notation"
    +  validation {
    +    condition     = can(cidrhost(var.ip_range_subnet, 0))
    +    error_message = "The subnet IP range must be a valid CIDR notation."
    +  }
     }
    
     variable "ip_range_pods" {
       type = string
    +  description = "The secondary IP range for Kubernetes pods in CIDR notation"
    +  validation {
    +    condition     = can(cidrhost(var.ip_range_pods, 0))
    +    error_message = "The pods IP range must be a valid CIDR notation."
    +  }
     }
    
     variable "ip_range_services" {
       type = string
    +  description = "The secondary IP range for Kubernetes services in CIDR notation"
    +  validation {
    +    condition     = can(cidrhost(var.ip_range_services, 0))
    +    error_message = "The services IP range must be a valid CIDR notation."
    +  }
     }
    📝 Committable suggestion

    ‼️ IMPORTANT
    Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

    Suggested change
    variable "ip_range_subnet" {
    type = string
    }
    variable "ip_range_pods" {
    type = string
    }
    variable "ip_range_services" {
    type = string
    }
    variable "ip_range_subnet" {
    type = string
    description = "The primary IP range for the subnet in CIDR notation"
    validation {
    condition = can(cidrhost(var.ip_range_subnet, 0))
    error_message = "The subnet IP range must be a valid CIDR notation."
    }
    }
    variable "ip_range_pods" {
    type = string
    description = "The secondary IP range for Kubernetes pods in CIDR notation"
    validation {
    condition = can(cidrhost(var.ip_range_pods, 0))
    error_message = "The pods IP range must be a valid CIDR notation."
    }
    }
    variable "ip_range_services" {
    type = string
    description = "The secondary IP range for Kubernetes services in CIDR notation"
    validation {
    condition = can(cidrhost(var.ip_range_services, 0))
    error_message = "The services IP range must be a valid CIDR notation."
    }
    }

    Comment on lines +5 to +7
    variable "region" {
    type = string
    }
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    🛠️ Refactor suggestion

    Add description and validation for region variable.

    The region variable should include a description and validation to ensure a valid GCP region is provided.

     variable "region" {
       type = string
    +  description = "The GCP region where resources will be created"
    +  validation {
    +    condition     = can(regex("^[a-z]+-[a-z]+-[0-9]$", var.region))
    +    error_message = "Region must be a valid GCP region (e.g., us-central1)."
    +  }
     }
    📝 Committable suggestion

    ‼️ IMPORTANT
    Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

    Suggested change
    variable "region" {
    type = string
    }
    variable "region" {
    type = string
    description = "The GCP region where resources will be created"
    validation {
    condition = can(regex("^[a-z]+-[a-z]+-[0-9]$", var.region))
    error_message = "Region must be a valid GCP region (e.g., us-central1)."
    }
    }

    @dudizimber dudizimber merged commit d5cc6da into main Feb 11, 2025
    6 checks passed
    @dudizimber dudizimber deleted the dev branch February 11, 2025 16:17
    @dudizimber dudizimber restored the dev branch February 13, 2025 11:41
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    add app plane observability stack
    3 participants