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Sessions are guaranteed from 1 registered participant (except in cases of force majeure).
This training course is part of our DevOps Training Courses. Discover our complete DevOps offer to go further in automation, CI/CD and infrastructure industrialisation.
By the end of this training course, each participant will be able to:
Practical experience with Azure App Services, APIs or other Azure cloud services. Proficiency in GitHub workflows (GitHub Actions) and CI/CD integration. Knowledge of scripting languages (YAML for pipelines, JMeter or k6 for scenarios is a plus).
DevOps/Cloud engineers wishing to automate load tests and integrate monitoring/performance into their workflows. Backend developers and application architects who want to measure application behaviour under load. QA engineers and performance leads looking to shift load testing left in the development cycle.
It’s about automating performance and load tests directly from a GitHub Actions workflow, targeting applications hosted on Azure. You combine GitHub runners, Azure Load Testing (based on JMeter) and Azure Monitor observability tools to industrialise load test runs. MFE-IT trains DevOps teams in this approach.
GitHub Actions is GitHub’s native CI/CD engine, while Azure DevOps Pipelines belongs to the Azure DevOps platform. Both can drive Azure Load Testing, but GitHub Actions is often preferred when the code lives on GitHub. MFE-IT compares the two and presents Azure integration patterns.
You create an Azure Load Testing resource, define a JMeter scenario versioned in the repo, configure a GitHub Actions job that authenticates to Azure via OIDC and triggers the test, then collect the metrics and gate the production deployment on defined thresholds. MFE-IT puts this pipeline into practice end-to-end.
The training lasts 1 day (6 hours), either remotely or in-person, with a maximum of 3 participants per session and 30 days of post-training support included.