@fluid-experimental/azure-scenario-runner

@fluid-experimental/azure-scenario-runner

Azure Scenario Runner

This package provides a reference application that executes pre-set scenarios with the intent of measuring the Fluid Framework's performance and reliability. We primarily use this package as part of a pipeline scheduled to run periodically to measure, log, and report various performance and reliability metrics. These metrics can then be used to gauge an undrestanding of the expected behavior/performance of the Fluid Framework in these various scenarios, which can help define the SLA.

Implemented Scenarios

Azure Client

Tests creating an Azure Client

Doc Creator

This scenario creates a bunch of empty Fluid documents and measures the time it takes to create theses documents.

Doc Loader

This scenario loads a set of previously created docs multiple times and measures the time it takes to load these documents.

Map Traffic

[TBD]

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Guides

Running the perf tests locally

1. Set the azure__fluid__relay__service__tenantId environment variable to equal your FRS TenantID
2. Set the azure__fluid__relay__service__tenantKey environment variable to equal your FRS Tenant's Primary Key
3. Set the azure__fluid__relay__service__function__url environment variable to equal your FRS Service Function URL
4. Set the azure__fluid__relay__service__endpoint environment variable to equal the Alfred endpoint of your FRS tenant
5. (Optional) Set the azure__fluid__relay__service__region environment variable to equal the region of your FRS tenant (eg. westus2, westus3, eastus, westeurope)
6. Run the test with npm run start

Configuring the test configuration

The test configuration file testConfig_v1.yml can be configured to modify the parameters of each scenario and the order they're run in.

Adding New Scenarios

[TBD]

Scenario runnner for FRS and Azure Local Service. This package can be used to create and execute various scenarios involving azure-client, IFluidContainer and a range of distributed data structures (DDSes), while collecting telemetry and validating state in the process. Scenarios are sourced via yaml config files.

You can add new scenarios by following existing patterns (see MapTrafficRunner or DocLoaderRunner for examples) and adding additional test configs to the configs directory. Then, run your scenario with the command: npm run start:scenario ./configs/<config-name>.yml.

Appendix

Contribution Guidelines

There are many ways to contribute to Fluid.

• Participate in Q&A in our GitHub Discussions.
• Submit bugs and help us verify fixes as they are checked in.
• Review the source code changes.
• Contribute bug fixes.

Detailed instructions for working in the repo can be found in the Wiki.

This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact [e-mail] with any additional questions or comments.

This project may contain Microsoft trademarks or logos for Microsoft projects, products, or services. Use of these trademarks or logos must follow Microsoft’s Trademark & Brand Guidelines. Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship.

Help

Not finding what you're looking for in this README? Check out our GitHub Wiki or fluidframework.com.

Still not finding what you're looking for? Please file an issue.

Thank you!

Trademark

This project may contain Microsoft trademarks or logos for Microsoft projects, products, or services.

Use of these trademarks or logos must follow Microsoft's Trademark & Brand Guidelines.

Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship.