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Integrate Keyverno with Resource management #6

@nayem9b

Description

@nayem9b

Integrate Kyverno with Resource Management

Overview

This enhancement aims to integrate Kyverno, a Kubernetes-native policy engine, with the existing resource management framework. The objective is to enforce declarative governance over resource configurations, ensuring compliance, consistency, and security across all Kubernetes workloads.

Objective

Implement policy-driven automation for:

  • Enforcing resource quota limits (CPU, memory, storage)
  • Validating configuration best practices (e.g., mandatory labels, namespace usage)
  • Mutating manifests to inject default values where applicable
  • Auditing resource definitions against organizational standards

Key Deliverables

  • Deployment of Kyverno CRDs and associated cluster policies
  • Definition of ClusterPolicies for:
    • Resource requests/limits enforcement
    • Namespace-specific restrictions
    • Labeling and annotation standards
    • Default configuration injection
  • Integration with existing CI/CD pipelines for policy validation during deployment
  • Optional: Kyverno reporting integration for compliance visibility in Grafana/Prometheus

Expected Outcomes

  • Improved governance through automated policy enforcement
  • Reduced drift between dev/test/prod environments
  • Standardized resource definitions aligned with operational SLAs
  • Enhanced auditability for cluster administrators

Example Policy (Resource Requests Enforcement)

apiVersion: kyverno.io/v1
kind: ClusterPolicy
metadata:
  name: enforce-resource-requests
spec:
  validationFailureAction: enforce
  rules:
    - name: check-resource-requests
      match:
        resources:
          kinds:
            - Pod
      validate:
        message: "All pods must define CPU and memory requests."
        pattern:
          spec:
            containers:
              - resources:
                  requests:
                    cpu: "?*"
                    memory: "?*"

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