Azure Cosmos DB is Microsoft’s globally distributed, multi-model database service, trusted for mission-critical workloads that demand high availability, scalability, and low latency. In this post we will discover how to maximize the full potential of Azure Cosmos DB using Azure Advisor recommendations to help you build smarter, faster, and more securely.

What is Azure Advisor? 

Azure Advisor is your cloud optimization assistant. It analyzes your Azure resources and configurations, then delivers personalized, actionable recommendations to help you: 

• Improve performance 

• Enhance security 

• Boost reliability 

• Reduce costs 

These recommendations are grounded in Microsoft’s experience running large-scale cloud services and the Azure Well-Architected Framework.

How Does Azure Advisor Help Cosmos DB Users? 

Whether you’re new to Azure Cosmos DB or an experienced developer, Azure Advisor provides guidance in four key areas: 

• High Availability: Suggestions for geo-redundancy and disaster recovery. 

• Security: Alerts for tightening network security rules. 

• Performance: Tips like increasing throughput to avoid throttling. 

• Cost Optimization: Recommendations to right-size resources and reduce spending. 

Best Practices for using Azure Advisors

• Proactive Monitoring: Set up live alerts and availability scorecards to stay ahead of issues. Azure Advisor’s recommendations are embedded in the portal, making it easy to act on guidance without leaving your Azure Cosmos DB experience.

• Integrated Experience: Using the new Cosmos DB Account Overview Hub in Azure portal, you get a view of all the recommendations.

Next Steps 

The recommendations are built on Azure Well Architected Framework and are tailored to your workload, helping you get the most out of Azure Cosmos DB. Start exploring the recommendations you have today. 

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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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