This course will help you learn how to leverage the Autocorrelation recorder JMeter plugin to create dynamic scripts based on pre-determined rules, which significantly simplifies the script building process.

We are pleased to announce that Autocorrelation Recorder has been renewed, adding several new features which help to simplify the way correlations are done and making the automation process even quicker and more efficient. We will be walking you through these new functionalities in this course. 

In the JMeter™ Autocorrelation Recorder course, you will learn to:

•    Locate dynamic values within your scripts

•    Correlate those values for each iteration

•    Configure the Correlation Recorder Plugin, in JMeter™, to do the correlation automatically

•    Customizations are done and how to make them

•    Understand the whole recording process work in JMeter™

Your instructors:

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Ricardo Poleo is a senior software engineer at BlazeMeter’s Labs. With 9+ years in web development, system design, enhancing performance applications and sharing knowledge with the community.

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Nayla Lago is a Performance Tester at Perforce professional services team. She has also played multiple roles in fields such as functional testing, digital marketing, accounts & customer management. Loves to spend quality time with family and friends. Dancing, sea and cooking are top activities in her free time.

Prerequisites:

• This course uses concepts that were introduced in the  Apache JMeter™ Intro course, therefore, we recommend taking that course first.

Learn everything there is to know about Taurus, the open-source orchestration and test automation framework. We’ll cover how to integrate and automate your testing into the CI/CD pipeline to become a true continuous testing ninja.

In this course, we will:

•  Help you gain skills in using the automation-friendly testing orchestration tool, Taurus.

•  Provide a clear understanding of YAML configuration syntax used across many modern technologies.

•  Show a new way to interact with the BlazeMeter platform from your terminal.

•  Demonstrate how to find new ways to interact with and control the open-source tools you already know.

•  Teach you how to write modular scripts with the most versatility, maximizing reuse in your testing codebase.

•  Explore how to create straight-forward performance, and functional testing scripts for tools you have never used

Learn about all the features and capabilities of the BlazeMeter Continuous testing platform has to offer. We’ll give you all the how to’s, guidelines and best practices so you’ll be able to manage, run, and collaborate your tests with confidence.

In this course, we will:

•  Provide initial orientation around the BlazeMeter app.

•  Explain best practices on running tests at any scale.

•  Demonstrate performance test configuration in BlazeMeter.

•  Set the foundations for working with BlazeMeter’s Continuous Testing platform.

•  Show breakdown of all the features and functionalities BlazeMeter offers.

The principle of Continuous Testing places the importance of testing not only in pre-production but also after release. When an API does not perform as expected, it can result in a serious issue with your app's functionality and user experience.

BlazeMeter's API Monitoring allows you to test all of your API endpoints continuously, and monitor your APIs and services in real time, without any dependency on additional teams. In this course, we'll walk you through everything there is to know about BlazeMeter API Monitoring, end to end.

In this course, we will:

• Introduce the app and orientation around it.

• Show how to monitor your APIs with precision.

• Demonstrate how to collaborate with your team within a bucket.

• Provide the best practices around configuring tests and automating them.

This course uses a combination of on-screen reading, video demonstrations, guided exercises, and a final exam to teach you how to leverage virtual services in BlazeMeter to eliminate dependencies and constraints and to enable continuous shift left testing. 

The BlazeMeter Service Virtualization feature lets you dynamically create virtual services that remove constraints and dependencies by standing in for external or internal resources that may not be readily available.

In this course, we will:

•  Describe the concepts behind virtual services and key use cases.

•  Demonstrate how to import and build a shared repository of transactions.

•  Explain the best practices for creating and deploying virtual services.

•  Guide you as you create and deploy your own virtual service through interactive exercises.

This course uses a combination of on-screen reading, video demonstrations, guided exercises, and a final exam to teach you how to use many of the advanced features that are available within BlazeMeter Service Virtualization. 

The BlazeMeter Service Virtualization feature lets you dynamically create virtual services that remove constraints and dependencies by standing in for external or internal resources that may not be readily available.

In this course, we will:

• Introduce the different methods for creating a virtual service and demonstrate how to edit transaction requests.
• Show how to parameterize request values and add dynamic response data to your transactions.
• Explain how to bulk deploy multiple virtual services at one time.
• Demonstrate how to get the most value from your virtual services by integrating them with the BlazeMeter testing platform.
• Teach you how to share transactions by integrating BlazeMeter with open-source tools, such as WireMock.
• Explore how to perform virtual service functions from an API and access the available API documentation and tools.

The focus of this course is on the Scriptless Testing features of BlazeMeter, designed to author automated GUI Functional Tests, all without knowing the underlying Selenium scripting language used behind the scenes to define and execute the tests.

In this course, we will:

•  Tour the BlazeMeter platform features used to store tests and reports.

•  Record tests with the BlazeMeter Chrome Extension.

•  Edit tests in the Scriptless Editor and work with common automated Actions in Scriptless Tests.

•  Manage Objects.

•  Create and Manage Groups.

•  Debug tests, execute tests on the BlazeMeter platform, and view execution Reports.

BlazeMeter Scriptless Testing provides advanced features to support creating and updating objects the BlazeMeter Chrome Extension does not automatically capture, attaching a data set to a test and calling the data into test steps with variables, and creating loops and branches within a test.

This course provides in-depth video instruction to help create advanced Scriptless Tests for scenarios beyond what the BlazeMeter Chrome Extension captures automatically.

If you’ve been writing test scripts, you’ve already started down the path of test automation but why stop there? In this course, we will cover best practices in writing test scripts built to be orchestrated in an automated pipeline. We will cover multiple Continuous Integration tools available to help make this a reality. We’ll make use of multiple Version Control Management tools. And we’ll make heavy use of Taurus.

In this course, we will:

•  Explain WHY do we Automate Tests, and how do we get started?

•  From the Perspective of a Tester, we will get familiar with the tools of Automation and explore how they can help us.

•  Introduce what is Version Control, why it is important, and how we incorporate it into the testing aspect of the SDLC.

•  Show you the different test types that you should consider automating.