We’re excited to announce the Azure Cosmos DB SRE Agent built on Azure SRE Agent; a new capability designed to simplify troubleshooting and improve reliability for your applications running on Azure Cosmos DB.

Some key features of Azure Cosmos DB SRE Agent are: 

• Sub-Agent Architecture: Specialized, delegated agents that help Azure Cosmos DB SDK analysis using app insight logs and server-side logs for deep diagnostics for database-specific scenarios. 
• Integration with Application Insights: The Azure Cosmos DB SRE Agent integrates seamlessly with Application Insights, allowing you to query logs and telemetry for richer, contextual insights. 
• Recommend Best Practices: Beyond detection, the agent provides tailored guidance for performance, security, and cost optimization. 

Benefits of using Azure Cosmos DB SRE Agent

Managing distributed applications can be complex. The Azure Cosmos DB SRE Agent bridges the gap by: 

• Identifying root causes of throttling, connectivity, and configuration issues. 
• Combining client-side SDK telemetry with server-side logs for a complete diagnostic picture. 
• Supporting secure data handling while maintaining tenant boundaries. 

Azure Cosmos DB SRE Agent Scenario 

Integrating Azure SRE Agent with your Azure Cosmos DB resource can leverage diagnostics to help identify issues or areas for improvement. Some examples are: 

• Cost Optimization: Using Azure SRE Agent to identify how best to reduce cost in your Azure Cosmos DB account.

• Throttling: The Azure Cosmos DB SRE agent identifies throttling causes and provides actionable diagnostics so teams can respond proactively. 

• Improve performance: Integrate the Azure Cosmos DB SRE agent with app insights to monitor query patterns and recommend optimizations, leveraging telemetry to fine-tune configurations for consistent, high-performance workloads.

Ready to get started? Provision the SRE Agent and unlock smarter diagnostics for your Azure Cosmos DB applications 

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☁️About Azure Cosmos DB  

Azure Cosmos DB is a fully managed and serverless NoSQL and vector database for modern app development, including AI applications. With its SLA-backed speed and availability as well as instant dynamic scalability, it is ideal for real-time NoSQL and MongoDB applications that require high performance and distributed computing over massive volumes of NoSQL and vector data.  

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