Celery Result Backend Patterns

소개

This skill provides specialized patterns and templates for setting up and managing Celery result backends across Redis, SQL databases, and RPC interfaces. It guides developers through selecting the right storage engine, implementing secure serialization, configuring result expiration policies, and performing zero-downtime migrations between backends. Whether you are troubleshooting result retrieval failures or optimizing for high-performance data access, this skill ensures your distributed task queue maintains a robust and scalable result storage architecture with production-ready best practices.

주요 기능

• Safe backend migration scripts and dual-write strategies
• Performance optimization patterns for connection pooling and result compression
• Secure serialization practices using JSON and custom encoders
• 0 GitHub stars
• Automated result expiration and cleanup policy implementations
• Multi-backend configuration templates for Redis, PostgreSQL, and RPC

사용 사례

• Optimizing high-traffic worker environments with Redis connection pooling
• Migrating task results from Redis to a persistent database for audit compliance
• Troubleshooting serialization errors or result persistence issues in production