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@fluid-experimental/azure-scenario-runner
Advanced tools
Azure client end to end tests
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.
Tests creating an Azure Client
This scenario creates a bunch of empty Fluid documents and measures the time it takes to create theses documents.
This scenario loads a set of previously created docs multiple times and measures the time it takes to load these documents.
This scenario loads a previously created document and generates traffic on that document by setting key-values in a SharedMap
from multiple clients.
This scenario creates/loads a document and attempts to add many nested SharedMap
s. Various configs control whether the nested maps are created before or after container.attach()
, how many maps to create, and how long to wait between creating each map.
azure__fluid__relay__service__tenantId
environment variable to equal your FRS TenantIDazure__fluid__relay__service__tenantKey
environment variable to equal your FRS Tenant's Primary Keyazure__fluid__relay__service__function__url
environment variable to equal your FRS Service Function URLazure__fluid__relay__service__endpoint
environment variable to equal the Alfred endpoint of your FRS tenantazure__fluid__relay__service__region
environment variable to equal the region of your FRS tenant (eg. westus2
, westus3
, eastus
, westeurope
)npm run start
The test configuration file testConfig_v1.yml
can be configured to modify the parameters of each scenario and the order they're run in.
[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
.
There are many ways to contribute to Fluid.
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 opencode@microsoft.com 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.
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!
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.
FAQs
Azure client end to end tests
The npm package @fluid-experimental/azure-scenario-runner receives a total of 266 weekly downloads. As such, @fluid-experimental/azure-scenario-runner popularity was classified as not popular.
We found that @fluid-experimental/azure-scenario-runner demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 0 open source maintainers collaborating on the project.
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