opa-resource-governance-templates

name	opa-resource-governance-templates
description	OPA resource governance policies enforcing CPU/memory limits, ResourceQuota compliance, LimitRange validation, and storage constraints.

OPA Resource Governance Templates

When to Use This Skill

Resource governance policies prevent overconsumption, enforce quotas, and validate LimitRange compliance across your cluster.

ResourceQuota vs LimitRange vs OPA

ResourceQuota caps total namespace consumption. LimitRange sets defaults and bounds for individual pods. OPA validates configuration before admission. Use all three for comprehensive governance.

When to Apply

Scenario 1: Prevent Unbounded Resource Consumption

Require resource limits on all containers:

# Enforced by: governance.yaml
# Result: All containers must define resources.limits.cpu and resources.limits.memory
# Impact: Prevents single pod from consuming entire node capacity

Scenario 2: Enforce LimitRange Compliance

Block pods exceeding namespace LimitRange maximums:

# Enforced by: limitrange.yaml
# Result: Pods cannot request more CPU/memory than LimitRange allows
# Impact: Ensures fair resource distribution across namespace

Scenario 3: Control Storage Costs

Restrict PVC sizes based on environment:

# Enforced by: storage.yaml
# Result: PVCs in dev-* namespaces cannot exceed 50Gi
# Impact: Prevents accidental provisioning of expensive storage volumes

Implementation

See the full implementation guide in the source documentation.

Techniques

Resource Governance Patterns

Three-Layer Resource Control

Implement overlapping controls for comprehensive governance:

1. OPA Policies - Validate resource configuration at admission time
2. LimitRange - Set namespace-level defaults and max values
3. ResourceQuota - Cap total namespace consumption

Right-Sizing Workloads

Balance cost and reliability with appropriate resource values:

Resource	Too Low	Too High	Sweet Spot
Requests	OOMKilled pods	Wasted capacity	Actual usage (P95)
Limits	Throttling	Noisy neighbors	2x requests
Storage	Out of space	High costs	Actual data + 30%

Use Vertical Pod Autoscaler (VPA) to identify optimal values.

Quota Enforcement Strategy

Define quotas based on team size and workload type:

# Development namespace quota
apiVersion: v1
kind: ResourceQuota
metadata:
  name: dev-quota
  namespace: dev-team
spec:
  hard:
    requests.cpu: "10"
    requests.memory: "20Gi"
    limits.cpu: "20"
    limits.memory: "40Gi"
    persistentvolumeclaims: "10"
    requests.storage: "100Gi"

OPA policies validate workloads against these quotas before admission.

See reference.md for additional techniques and detailed examples.

Examples

See examples.md for code examples.

Full Reference

See reference.md for complete documentation.

Related Patterns

• OPA Templates Overview
• OPA RBAC Policies
• Kyverno Resource Governance

References

• Source Documentation
• AEL Enforce