@fluidframework/azure-scenario-runner
v1.2.0
Published
Azure client end to end tests
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@fluidframework/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]
Guides
Running the perf tests locally
- Set the
azure__fluid__relay__service__tenantId
environment variable to equal your FRS TenantID - Set the
azure__fluid__relay__service__tenantKey
environment variable to equal your FRS Tenant's Primary Key - Set the
azure__fluid__relay__service__function__url
environment variable to equal your FRS Service Function URL - Set the
azure__fluid__relay__service__endpoint
environment variable to equal the Alfred endpoint of your FRS tenant - (Optional) Set the
azure__fluid__relay__service__region
environment variable to equal the region of your FRS tenant (eg.westus2
,westus3
,eastus
,westeurope
) - 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.
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 [email protected] 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.
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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.