- Lab
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Libraries: If you want this lab, consider one of these libraries.
- Cloud
Performance Debugging with Trace and Profiler
In this guided cloud lab, learners diagnose and enhance application performance using Google Cloud Trace and Profiler. The lab begins with an application that is experiencing delays under load. Learners generate traffic, analyse distributed traces and profiling data, and identify performance bottlenecks. They then validate the performance improvements by comparing observability data before and after making changes, demonstrating how tracing and profiling support efficient performance debugging in real-world environments.
Lab Info
Table of Contents
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Challenge
Set Up the Required Services
To start, you will ensure the required services are enabled.
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Challenge
Generate Trace Traffic and Profiler Data
Then, you will generate traffic from a web site for the Tracer, and will also generate some Profiler data.
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Challenge
Filter Trace and Profiler Data
Finally, you will revisit the Trace and Profiler interfaces, and go through some ways to filter the presented information.
Real skill practice before real-world application
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