database-cosmosdb

Designing partition keys for scalable Cosmos DB containers requires distributing traffic evenly across logical partitions. This skill applies structured partition key design to ensure efficient queries and avoid hot partitions in production .NET workloads.

To optimize RU costs and indexing policies with the Cosmos DB .NET SDK, apply best practices for query performance and indexing configuration. This skill enforces RU optimization strategies to reduce request unit consumption across production workloads.

Implementing change feed processing for Azure Cosmos DB involves monitoring container data changes in real time. This skill applies change feed processing best practices with sample references to guide reliable event-driven integration in .NET applications.

Configuring Cosmos DB health checks and singleton SDK setup requires correct client initialization in .NET apps. This skill enforces best practices for singleton usage and health checks with sample references to ensure production reliability.

This Cosmos DB optimization approach works for production .NET workloads by applying container initialization, indexing policies, and health checks. It ensures robust data layers suitable for scalable and reliable production environments.