Cloud Profiler documentation

Cloud Profiler documentation

Overview

Training and tutorials

Code samples

Videos

Cloud Profiler is a statistical, low-overhead profiler that continuously gathers CPU usage and memory-allocation information from your production applications. It attributes that information to the application's source code, helping you identify the parts of the application consuming the most resources, and otherwise illuminating the performance characteristics of the code.

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Guides

• Tutorial

  Quickstart: Exploring Profiler

• Profiling applications: Go, Java, Node.js, or Python

• Profiling applications running outside of Google Cloud

• Focusing the flame graph

• Comparing profiles

• Viewing historical trends

• More  

Concepts

• Profiling concepts

• About Profiler

• Profiler interface overview

• Flame graphs

• More  

Resources

• Quotas and limits

• Release notes

• Support

• Troubleshooting

• More  

Training and tutorials

Try Profiler tutorials, training courses, and Qwiklabs from Google Cloud.

Codelab

Analyze production performance with Cloud Profiler

In this codelab, you learn how to set up Cloud Profiler for a Go program and then you learn how to collect, view and analyze the performance data with Cloud Profiler.

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Tutorial

Optimizing a Go app

In this tutorial, you download and run a Go application, and then you are guided through using profiling data to optimize that application.

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Code samples

Dive into coding with examples that demonstrate how to use and connect Google Cloud services.

google cloud

Go samples

A collection of Go applications configured to collect profile data.

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google cloud

Profiler code samples

A set of code samples for configuring Profiler for a variety of languages and environments.

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Videos