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Expiration Management and the Cache-Aside Pattern

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The lesson covers TTL-based expiration with SETEX and EXPIRE, using scan to find and delete stale keys, and the cache-aside pattern for caching long-running operations, SQL query results, and LLM output to dramatically reduce AI inference cost.

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Previous Module AI Vector Search on PostgreSQL
This Module Introducing Azure Managed Redis
Introduction to Azure Managed Redis
Introduction to Azure Managed Redis
Caching Strategies and Pricing Tiers
Caching Strategies and Pricing Tiers
Client Libraries and Development Best Practices
Client Libraries and Development Best Practices
Implementing Core Data Operations
Implementing Core Data Operations
Expiration Management and the Cache-Aside Pattern
Expiration Management and the Cache-Aside Pattern
Next Module AI Pipelines with Managed Redis