- March 11, 2020
- Posted by: Tanvir
- Category: Blogs
As Agile and DevOps adoption get more and more widespread, organizations are moving away from specialized roles onto cross-functional teams. Apart from fueling seamless collaboration round-the-clock, these teams also expect cross-functional sharing of specialized tools that can be used across the development organization. Kubernetes offers such teams several automated capabilities, allowing them to run entire frameworks on a single virtual machine – especially valuable for testing purposes.
Kubernetes Services New-Jersey: Benefits
Being a production-grade container orchestration tool, Kubernetes enables teams to choose from several installation options – without having to implement code on several sets of virtual machines. For those looking to carry out testing in Kubernetes services New-Jersey, the benefits are many:
- Isolated test environments that allow teams to run all types of tests and re-create environments in the event of a disaster – without worrying about how it will impact other components of the software under development.
- A faster and more accurate solution to bugs as testing teams can shift lift and detect and act on issues sooner in the lifecycle.
- Simultaneous running of several test suites helps shorten the feedback cycle while enhancing communication within and among groups.
- The decreased dependence on shared environments, uninterrupted access to logs as well as disposable testing environments.
- Frequent and direct communication with developers, while offering an easy way to communicate bug reports and reduce time spent on reproducing issues.
Key testing and test automation considerations: Kubernetes Services New-Jersey
Despite all the benefits of testing in Kubernetes, the fact that it is an extremely complicated tool cannot be overlooked. While the container orchestration tool allows testers to run tests in isolation – without affecting the overall code – it needs testers to embark on that journey very carefully. Here are some key testing and test automation considerations to factor in:
- Navigating through dependencies: One of the best aspects of testing in Kubernetes is the freedom to run tests in isolation. However, despite this, several dependencies exist which pull in a large number of packages – making it difficult to compile. Testers looking to navigate through these dependencies need to understand that most of the packages are needed only for certain tests. Instead of breaking down the code and all the tests that depend on it, testers can move the code into optional packages and access them via interfaces that are implemented separately for each vendor package.
- Carrying out end-to-end testing: As more and more components that once used to be a part of Kubernetes are now being developed outside of it, testers have a tough time to carry out end-to-end testing for these external components. Therefore, while implementing test suites in Kubernetes, it is important to use the right tools that support behaviour-driven development and allow testers to run end-to-end test suites against each cluster.
- Enabling CI/CD: Given that Kubernetes allows teams to spin up a number of container instances with different scaling options, it’s a perfect candidate for CI/CD tasks. To enable CI/CD, teams should package their suite of automated tests and scripts in containers and run them as a part of a build pipeline against deployment containers for more consistent results.
- Running different types of tests: When it comes to testing, QA teams are constantly on the lookout for identical production environments that they can leverage. But the manual provision of tests takes up a lot of their time. In Kubernetes, for running different types of tests, testers can overcome the challenge of manually provisioning test suite. They can use scripts by spinning up new clusters for running tests – as and when they want – and without interruptions. At the end of each iteration, they can destroy these clusters, clean up residual files and assets, and move on to other tests.
- Shifting left: It is a well-known fact that with the emergence of DevOps and Agile, development organizations are constantly trying to move to a shift-left approach. While trying to create a new testing phase to run after each commit in Kubernetes, developers and testers can leverage shared clusters for easy testing and debugging – instead of running a full cluster on a local machine. As soon as an issue is logged by testers, developers can instantly connect with the cluster and fix it quickly.
Get most out of your testing: Kubernetes Services New-Jersey
As microservices-based architectures become increasingly popular, QA engineers and testers are constantly on the quest for ways to enhance their testing outcomes. Container orchestration tools like Kubernetes are a great way to automate the testing process. The message for developers and testers is that while incorporating Kubernetes into test automation workflows, build a comprehensive plan to get the most out of your testing efforts.