A static and dynamic analysis tool to discover smells in Kubernetes clusters and suggest patterns to apply.

KubePattern is an innovative project that helps you identify configuration issues, anti-patterns, and improvement opportunities in your Kubernetes clusters. It combines static and dynamic analysis techniques to provide actionable insights and recommendations.

• Static Analysis - Analyze Kubernetes manifests and configurations before deployment
• Dynamic Analysis - Monitor running clusters to detect runtime issues and smells
• Pattern As Code - Define and customize patterns using a declarative, code-based approach
• Kubernetes Native - Analysis reports delivered through Kubernetes Custom Resource Definitions (CRDs)
• Highly Customizable - Extend and tailor the analysis to your specific needs

1. Define Patterns - Create custom patterns using the Pattern As Code approach
2. Run Analysis - Execute static or dynamic analysis on your clusters
3. Review Reports - Access detailed reports via Kubernetes CRDs
4. Apply Recommendations - Implement suggested patterns to improve your cluster

KubePattern's Pattern As Code approach allows you to define detection rules and recommendations as code, making it easy to:

• Version control your patterns
• Share patterns across teams
• Customize rules for your environment
• Integrate with CI/CD pipelines

This project is licensed under the Apache License 2.0.