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MSFTOPS01-BP03 Implement Application Performance Monitoring (APM) for your Microsoft workload - Microsoft Workloads Lens - AWS Well-Architected Framework
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MSFTOPS01-BP03 Implement Application Performance Monitoring (APM) for your Microsoft workload

Microsoft workloads developed with .NET and SQL technologies should also have Application Performance Monitoring (APM) implemented. Amazon CloudWatch Application Insights for .NET and SQL Server can be used for that purpose. AWS X-Ray can be used as well to improve traceability over the workload.

Desired outcome: Establish comprehensive Application Performance Monitoring (APM) for your Microsoft workloads, providing deep visibility into application behavior, performance bottlenecks, and user experience while enabling proactive optimization and rapid troubleshooting of .NET applications and SQL Server databases.

Common anti-patterns:

  • Monitoring only infrastructure metrics without implementing application-level monitoring, missing critical insights into application performance, user experience, and business transaction flows that could indicate problems before they affect users.

  • Implementing APM tools without proper configuration for Microsoft-specific technologies, failing to capture important .NET application metrics, SQL Server performance indicators, and transaction traces that are essential for effective troubleshooting.

  • Using APM reactively only during incidents rather than proactively monitoring application performance trends, missing opportunities to optimize performance and prevent issues before they impact business operations.

Benefits of establishing this best practice:

  • Enhanced application visibility and faster issue resolution through detailed monitoring of .NET application performance, SQL Server operations, and end-to-end transaction tracing, enabling rapid identification and resolution of performance bottlenecks.

  • Improved user experience and business outcomes by monitoring application performance from the user perspective, identifying slow transactions, and optimizing critical business processes before they impact customer satisfaction.

  • Proactive performance optimization through continuous monitoring of application metrics, enabling data-driven decisions for code optimization, database tuning, and infrastructure scaling to maintain optimal performance.

Level of risk exposed if this best practice is not established: Medium

Implementation guidance

Implementing Application Performance Monitoring for Microsoft workloads requires a comprehensive approach that covers both .NET applications and SQL Server databases. Start by configuring Amazon CloudWatch Application Insights to automatically discover and monitor your Microsoft applications, then enhance visibility with AWS X-Ray for distributed tracing. This approach provides end-to-end visibility into application performance and enables proactive optimization of your Microsoft workloads.

Implementation steps

  1. Enable Amazon CloudWatch Application Insights for your .NET applications and SQL Server instances to automatically discover and monitor application components.

  2. Configure Application Insights to collect custom metrics specific to your Microsoft workload business logic and critical transactions.

  3. Implement AWS X-Ray daemon in your .NET applications to track requests across distributed components and identify performance bottlenecks.

  4. Set up custom dashboards in Amazon CloudWatch to visualize application performance metrics, error rates, and response times for critical business transactions.

  5. Configure automated alerts for application performance thresholds, error rates, and anomaly detection to enable proactive issue identification.

  6. Implement synthetic monitoring using Amazon CloudWatch Synthetics to continuously test critical application workflows and user journeys.

  7. Establish performance baselines and regularly review APM data to identify optimization opportunities and performance trends.

  8. Integrate APM data with your incident response processes to enable faster troubleshooting and root cause analysis.

Resources

Related documents:

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