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GitHub Actions Training Course – Automating Azure Load Testing

GitHub Actions Training Course – Automating Azure Load Testing
Guaranteed sessions from 1 enrollee  •  No postponement risk except force majeure  •  60% hands-on
Key information
Duration1 day(s) / 6 h
Price550 € excl. VAT
FormatDistance learning, On-site at your premises
LevelAdvanced
CertifyingNo
TailoredCustomizable programme

Upcoming sessions

18 Janv. 2027
15 Fév. 2027
8 Mars 2027
5 Avr. 2027
3 Mai 2027

Would you like to schedule this training on a specific date? Contact us by email or via the contact form.

Description of the training: GitHub Actions Training Course – Automating Azure Load Testing
Would you like to know about upcoming sessions? Would you like to schedule this GitHub Actions Training Course on a specific date? Contact us to discuss your availability and arrange personalised training. 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Good to know
GOOD TO KNOW

This training course includes numerous exercises (60% practical) for better learning. 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.

Objectives of the training: GitHub Actions Training Course – Automating Azure Load Testing
Objectives of this GitHub Actions Training Course

By the end of this training course, each participant will be able to:

  • Understand the principles of load testing in a DevOps/Azure context.
  • Automate the execution of load scenarios using GitHub Actions.
  • Configure and use Azure Load Testing to simulate realistic traffic on your applications.
  • Analyse test results and set up performance regression thresholds.
  • Integrate load testing into a complete CI/CD pipeline for continuous performance validation.
Prerequisites of the training: GitHub Actions Training Course – Automating Azure Load Testing
Prerequisites

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).

Target audience of the training: GitHub Actions Training Course – Automating Azure Load Testing
TARGET AUDIENCE

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.

Detailed programme of the training: GitHub Actions Training Course – Automating Azure Load Testing

Download the programme (PDF)

Introduction to Terraform and IaC
Writing and executing Terraform code
Advanced structuring
State, backends, and workspaces
Safety and best practices
Multi-cloud case study
The advantages of this training course
  • Provides a rigorous and professional approach to Terraform
  • Prepares you for secure production deployment with CI/CD and remote backendsmphasises code structuring and team collaboration
  • Includes concrete multi-cloud case studies that can be adapted to any real-world project
FAQ
What is GitHub Actions for Azure load testing?

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.

What is the difference between GitHub Actions and Azure DevOps Pipelines?

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.

How do you integrate an Azure load test into a GitHub Actions workflow?

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.

How long does the GitHub Actions Azure Load Testing training at MFE-IT last?

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.