AzureCosmosDB

Azure Cosmos DB performance optimization and best practices guidelines for NoSQL, partitioning, queries, and SDK usage. Use when writing, reviewing, or refactoring code that interacts with Azure Cosmos DB, designing data models, optimizing queries, or implementing high-performance database operations. USE FOR: Cosmos DB NoSQL, partition key design, RU optimization, point reads, cross-partition queries, SDK singleton, CosmosClient, container modeling, change feed, bulk operations, vector search, full-text search, hierarchical partition keys, global distribution, autoscale throughput, indexing policy. DO NOT USE FOR: PostgreSQL, MySQL, MongoDB (non-Azure), DynamoDB, Cassandra, Azure SQL, Cosmos DB for PostgreSQL (vCore), Cosmos DB for MongoDB vCore, Azure DocumentDB, general SQL databases, Redis, Elasticsearch.

Azure Cosmos DB performance optimization and best practices guidelines for NoSQL, partitioning, queries, SDK usage, and vector search. Use when writing, reviewing, or refactoring code that interacts with Azure Cosmos DB, designing data models, optimizing queries, or implementing high-performance database operations.

Manages releases for the AzureCosmosDB/spring-ai modules. Phase-aware validation, prepares a release branch + PR with POM and changelog updates, then after merge creates and pushes per-module version tags that trigger the automated release pipeline. Handles single-module and multi-module release waves with the correct dependency ordering.