Skip to main content

Kubernetes Patterns

What is a Kubernetes Pattern?​

Kubernetes design patterns are reusable solutions to common problems encountered when designing, implementing, and managing resources within a Kubernetes environment.

The primary goal of these patterns is to help developers and architects build systems that are more reliable, scalable, secure, maintainable.

Kubernetes Patterns are best practices, policies, and known techniques used to improve cluster quality and address recurring problems.

KubePattern & Kubernetes Patterns​

KubePattern helps you identify "smells" (anti-patterns or design flaws) in your cluster, which are defined in the pattern-as-code file. It then suggests you apply the correct pattern to resolve them.

info

How KubePattern works

  1. Scan: KubePattern analyzes your cluster configuration
  2. Detect: Identifies anti-patterns and design flaws ("smells")
  3. Suggest: Recommends appropriate patterns based on best practices
  4. Apply: Helps you implement the correct pattern-as-code solution

Use Cases​

KubePattern addresses critical challenges in Kubernetes operations:

Resource Management & Scheduling​

  • Predictable Demands: Ensure optimal resource allocation with proper requests/limits
  • Limit Range: Enforce resource constraints at namespace level to prevent resource exhaustion

Self-Healing & Resilience​

  • Health Probe: Implement liveness, readiness, and startup probes for automatic recovery
  • OOM Healer: Detect and remediate Out-Of-Memory issues before they cascade

Application Lifecycle​

  • Sidecar: Extend pod capabilities with auxiliary containers for logging, proxying, or monitoring
  • Init Container: Prepare application environment before main containers start

Cluster Hygiene & Governance​

  • Krateo Referenced Resources: Manage resource dependencies and prevent orphaned objects
  • Configuration Template: Standardize ConfigMaps and Secrets across teams
warning

Those are just examples of use cases for Kubernetes Patterns, many more are listed in the pattern registry or await you to discover them!

Quick Example​

Before (Anti-pattern detected):

# Pod without resource requests/limits
apiVersion: v1
kind: Pod
metadata:
  name: my-app
spec:
  containers:
  - name: app
    image: my-app:latest

After (Predictable Demands pattern applied):

apiVersion: v1
kind: Pod
metadata:
  name: my-app
spec:
  containers:
  - name: app
    image: my-app:latest
    resources:
      requests:
        memory: "128Mi"
        cpu: "250m"
      limits:
        memory: "256Mi"
        cpu: "500m"