Use Cases

Real-world examples demonstrating how to use patterndb-yaml to solve common log analysis challenges.

Testing

Verify behavior, detect regressions, ensure quality

• API Contract Testing - Verify API implementations maintain contracts across versions and rewrites
• Golden Master Testing - Safely refactor legacy code by capturing and comparing behavior

DevOps

Build reliability, deployment validation, CI/CD

• CI/CD Build Reproducibility - Verify builds are reproducible by filtering ephemeral data (timestamps, PIDs)

Operations

Monitor, troubleshoot, validate deployments

• Multi-Environment Validation - Ensure dev, staging, and production environments behave consistently
• Distributed Systems Troubleshooting - Correlate events across microservices using correlation IDs

Security

Aggregate logs, detect attacks, compliance

• Security Log Aggregation - Normalize firewall, IDS, and authentication logs for attack correlation

Data

Migrations, transformations, data quality

• Database Migration Validation - Verify database migrations (MySQL to PostgreSQL) preserve application behavior

See Also

• Common Patterns - Reusable pattern techniques
• Rules Documentation - Complete pattern syntax reference
• Troubleshooting - Debugging pattern matching issues