Cloud Trace: is a distributed tracing system that collects latency data from your applications and displays it in the Google Cloud Platform Console. You can track how requests propagate through your application and receive detailed near real-time performance insights.

• Client Library Documentation

• Product Documentation

Quick Start

In order to use this library, you first need to go through the following steps:

1. Select or create a Cloud Platform project.

2. Enable billing for your project.

3. Enable the Cloud Trace.

4. Setup Authentication.

Installation

Install this library in a virtual environment usingvenv.venv is a tool thatcreates isolated Python environments. These isolated environments can have separateversions of Python packages, which allows you to isolate one project’s dependenciesfrom the dependencies of other projects.

Withvenv, it’s possible to install this library without needing systeminstall permissions, and without clashing with the installed systemdependencies.

Code samples and snippets

Code samples and snippets live in thesamples/ folder.

Supported Python Versions

Our client libraries are compatible with all currentactive andmaintenance versions ofPython.

Python >= 3.7

Unsupported Python Versions

Python <= 3.6

If you are using anend-of-lifeversion of Python, we recommend that you update as soon as possible to an actively supported version.

Mac/Linux

python3 -m venv <your-env>source <your-env>/bin/activatepip install google-cloud-trace

Windows

py -m venv <your-env>.\<your-env>\Scripts\activatepip install google-cloud-trace

Next Steps

• Read theClient Library Documentation for Cloud Traceto see other available methods on the client.

• Read theCloud Trace Product documentation to learnmore about the product and see How-to Guides.

• View thisREADME to see the full list of CloudAPIs that we cover.