GitHub Actions Training Course – Automating Azure Load Testing
- Price
- Duration
- Number of Hours
Description
This training course on Automating Azure Load Tests with GitHub Actions teaches you how to integrate automated performance tests into modern CI/CD pipelines with GitHub. You will learn how to configure load testing scenarios with Azure Load Testing, trigger them automatically via GitHub Actions, analyse results, and detect performance regressions before they reach production.
Format
Remote (recorded sessions).
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).
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 for this GitHub Actions Training Course
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
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.
Programme of this GitHub Actions Training Course
Introduction to Terraform and IaC
Principes d’Infrastructure as Code, avantages, architecture de Terraform, providers, ressources et blocs HCL.
Writing and executing Terraform code
Creation of .tf files, init, plan, apply, controlled deletion, resource lifecycle management.
Advanced structuring
Variables, outputs, .tfvars files, custom modules, code factorisation, dynamic resource creation.
State, backends, and workspaces
State, backends, and workspaces.
Safety and best practices
Securing secrets, integration with Vault, versioning management, team conventions, linters, and validation.S3, Azure Blob, etc.), locking, organisation by environment.
Multi-cloud case study
Deployment of resources on AWS or Azure, reusable modules, environment logic (dev/stage/prod).
The advantages of this training course
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
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