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The Automate Azure Load Testing by Using GitHub (AZ-2006) course teaches participants how to integrate GitHub with Azure Load Testing to automate performance testing. Learn how to enhance application scalability, identify bottlenecks, and streamline CI/CD pipelines using GitHub Actions and Azure DevOps.
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Overview
This course provides hands-on experience in automating Azure Load Testing using GitHub. Participants will learn how to integrate performance testing into CI/CD workflows, monitor application performance under load, and optimize scaling strategies. Through practical exercises, students will explore GitHub Actions, Azure Load Testing services, and automation techniques for efficient software delivery. Designed for DevOps engineers, developers, and cloud professionals, this course equips participants with the skills to ensure applications perform reliably under varying traffic conditions.
Instructor-led training
Personal Learning Path
Email, chat and phone support
Who is this course for?
The Automate Azure Load Testing by Using GitHub (AZ-2006) course is designed for DevOps engineers, cloud professionals, and software developers who want to optimize application performance. It is ideal for those looking to integrate Azure Load Testing into their CI/CD pipelines using GitHub Actions to ensure scalability and reliability. Anyone responsible for performance testing, cloud automation, or software quality assurance will benefit from this training.
Curriculum
Preparation
At Readynez, we provide many resources and have experienced experts in the field. That is why we are also very successful with many satisfied customers. You can therefore safely take your course with us.
In order to take the Automate Azure Load Testing by using GitHub (AZ-2006) course, however, some prerequisites are required. You have the perfect starting point to take this course with these prerequisites:
Basic understanding of Azure services and GitHub workflows.
Familiarity with CI/CD pipelines and DevOps concepts.
Experience with application performance testing is helpful but not required.
Meet some of the Readynez Instructors you can meet on your course. They are experts, passionate about what they do, and dedicated to give back to their industry, their field, and those who want to learn, explore, and advance in their careers.
Michel excels with a vast expertise in the fields of consulting, training and project management.
Julian is an official Microsoft Business Application MVP and one of the most widely recognized experts on Dynamics 365.
FAQ
This course is designed to help developers and DevOps engineers integrate Azure Load Testing with GitHub for automated performance testing, ensuring application reliability and scalability.
Reviewing Azure Load Testing, GitHub Actions, and CI/CD best practices will help you get the most from this course.
Basic knowledge of Azure, GitHub, and CI/CD pipelines is recommended. Prior experience with performance testing tools is helpful but not mandatory.
The Automate Azure Load Testing by Using GitHub course costs €705 and includes hands-on labs and expert instruction.
Topics include setting up Azure Load Testing, integrating it with GitHub, automating tests in CI/CD pipelines, and analyzing test results.
Yes, mastering automated load testing helps professionals ensure application scalability, making them valuable in DevOps and cloud engineering roles.
This course does not offer certification but provides hands-on experience in automating load testing with Azure and GitHub.
Yes, the course is available online with live instruction and interactive lab exercises.
The course is moderately challenging, requiring a basic understanding of DevOps and cloud automation.
DevOps professionals with Azure Load Testing expertise can earn between €70,000 and €120,000 annually.
Reviews
Easy to attend over Teams and an excellent instructor gave me great value for the time I invested.
Readynez is the best training provider I've used for many years. Their customer service is first class, prices are very competitive and instruction excellent.
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