Scaling Performance Pipelines in your Org
In this workshop, we’ll go beyond just running simple performance pipelines to implement automation that differs per project and environment. We’ll also look to minimize slow execution and false positives to build confidence in teams that depend on the testing outcomes. We’ll review load infrastructure options in NeoLoad Web that further improve cost and manageability when scaling these pipelines as a self-service model across your organization.
- Recap of 101 Performance Pipelines
- Dynamic artifacts: on-the-fly YAML, execution parameters, environment variables
- Parallel testing considerations: SuT sanity, cleanup, and asynchronous flows
- Infrastructure provisioning models & capacity planning
- Putting it all together
Instructional Presenter: Paul Bruce, Performance Engineering Director at Neotys