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kubernetes-cluster-cleanup-automator

kubernetes-cluster-cleanup-automator

Identifies and cleans up outdated Kubernetes deployments based on namespace patterns and application version age. Discovers deployments, analyzes release dates from annotations, performs cleanup actions, and notifies stakeholders.

Independent GitHub snapshot · Automated classification · Original documentation governs

Skill 문서

GitHub

name: kubernetes-cluster-cleanup-automator description: Identifies and cleans up outdated Kubernetes deployments based on namespace patterns and application version age. Discovers deployments, analyzes release dates from annotations, performs cleanup actions, and notifies stakeholders.

Instructions

Primary Objective

Automatically identify Kubernetes deployments in target namespaces that are running application versions older than a specified threshold, stop those deployments, and notify the responsible cluster administrator.

Core Workflow

1. Discover Target Namespaces

  • Use k8s-kubectl_get to list all namespaces
  • Filter namespaces by name pattern (default: names starting with 'dev-')
  • Store the filtered namespace list for subsequent operations

2. Discover Deployments in Target Namespaces

  • For each target namespace, use k8s-kubectl_get to list all deployments
  • Collect deployment metadata including name, namespace, and creation timestamp

3. Analyze Deployment Version Information

  • For each discovered deployment, use k8s-kubectl_describe to get detailed information
  • Extract the app-version-release-date annotation (expected format: ISO 8601 timestamp)
  • Calculate the age of the version relative to current date
  • Flag deployments where version age exceeds threshold (default: 30 days)

4. Identify Cluster Administrator Contact

  • Search for contact information using multiple approaches:
    • Search emails for relevant keywords: "cluster management", "cluster admin", "kubernetes", "infrastructure"
    • Examine local filesystem for contact documents or configuration files
    • Check PDF documents for team contact information (look for "Cluster & Computing Resources" or similar sections)
  • Extract email address of responsible person (typically found in team contact tables)

5. Perform Cleanup Actions

  • For each outdated deployment, use k8s-kubectl_scale to set replicas to 0
  • This effectively "stops" the deployment without deleting it
  • Verify each scale operation completes successfully

6. Compile and Send Notification

  • Sort outdated deployments chronologically from oldest to newest release date
  • Calculate exact number of days since each version was released
  • Format email according to specified template
  • Use emails-send_email to notify the identified cluster administrator
  • Include count of cleaned deployments and detailed list with namespace/deployment names and version ages

Key Parameters & Configuration

  • Namespace Pattern: Default 'dev-*' (configurable via user input)
  • Age Threshold: Default 30 days (configurable via user input)
  • Date Annotation: Looks for app-version-release-date annotation on deployments
  • Contact Search: Multiple fallback strategies for finding cluster admin

Error Handling & Edge Cases

  • If no namespaces match the pattern, report this and exit gracefully
  • If deployments lack the version annotation, skip them with a note
  • If cluster admin contact cannot be found, pause and request guidance
  • If scale operations fail, log the error but continue with others
  • Always verify email was sent successfully

Output Format

The final email must follow this exact format:

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