AWS DevOps Blog

Category: AWS X-Ray

Aspect-Oriented Programming for AWS X-Ray Using Spring

This post was written by Andy Powell, Partner Solutions Architect. For developers, tracing and instrumenting code is one of the most valuable tools when debugging code. When you are developing locally, you can use local debugging and profiling tools, but when you deploy an application to the cloud, the task is more challenging. In this […]

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Instrumenting Web Apps Using AWS X-Ray

This post was written by James Bowman, Software Development Engineer, AWS X-Ray AWS X-Ray helps developers analyze and debug distributed applications and underlying services in production. You can identify and analyze root-causes of performance issues and errors, understand customer impact, and extract statistical aggregations (such as histograms) for optimization. In this blog post, I will […]

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Using Amazon CloudWatch and Amazon SNS to Notify when AWS X-Ray Detects Elevated Levels of Latency, Errors, and Faults in Your Application

AWS X-Ray helps developers analyze and debug production applications built using microservices or serverless architectures and quantify customer impact. With X-Ray, you can understand how your application and its underlying services are performing and identify and troubleshoot the root cause of performance issues and errors. You can use these insights to identify issues and opportunities […]

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