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- Learn how to implement data operations in Azure Managed Redis.
After completing this module, you'll be able to:
- Explain Azure Managed Redis capabilities and caching strategies for high-performance applications
- Select appropriate client libraries and apply development best practices for Redis implementations
- Implement data operations including storage, retrieval, expiration, and cache invalidation patterns
- Learn how to implement event messaging with Azure Cache for Redis and Azure Managed Redis, including pub/sub for real-time notifications and Streams for reliable task processing.
After completing this module, you'll be able to:
- Explain Redis pub/sub messaging for broadcasting events to multiple AI services simultaneously
- Implement Redis Streams for reliable task queues with automatic retry and failure recovery
- Choose between pub/sub and Streams based on whether you need broadcast or coordinated work distribution
- Build Python applications that use pub/sub for notifications and Streams for processing pipelines
- Learn how to implement vector storage and similarity search in Azure Managed Redis.
After completing this module, you'll be able to:
- Explain how to create vector indexes and query embeddings for similarity search using Redis as a vector database
- Choose appropriate vector types, distance metrics, and indexing algorithms based on dataset size and accuracy requirements
- Select optimal Redis data structures (Hash vs JSON) for storing vectors with metadata
- Build Python applications that index and query high-dimensional embeddings with Azure Managed Redis
