IT organizations the world over are striving to improve collaboration and agility of delivery. As DevOps and Agile practices gain momentum, the measures for success are continuous integration and continuous delivery. Both of these rely on identifying defects early in the DevOps cycle and the ability to adapt software quickly to user feedback. Hence continuous testing is an imperative to achieve this seamless, automated CI/CD pipeline.
Not surprisingly, some of the key trends in 2018 for software development focus around automation, processes and continuous testing. However, DevOps teams typically struggle with implementation. What are some of those bottlenecks? And how can they address these challenges to ensure faster turnarounds with better quality? Let’s take a look:
Shorter release sprints demand more speed
Shipping better code faster is a strong parameter of agility. As release cycles become shorter and multiple versions and updates are made available in a narrow time-frame, developers must assure timely release and consistent performance. 2018 promises even shorter releases cycle with higher customer expectations. Add several new platforms and tech like IoT and wearable devices to this mix, and the challenge surmounts.
Luckily, adopting best practices like test-driven development and behavior driven development can enhance automated testing. They drive the test automation code before the code itself. Acceptance test-driven development is also fast gaining popularity for its collaborative approach.
Modularity or lack thereof
Scalability and control are major concerns for agile QA teams. Modular tests are those that are highly reusable and editable, streamlining test suite management. A modular system lets you reuse tests in multiple flows but manages them centrally.
Moving test scripts to a central, enterprise version control tool creates a single source of truth. Grouping the automation suite in multiple, modular test layers helps deliver faster feedback at every checkpoint.
Traditional testing tools and methods
Thousands of interdependent test cases are implemented through application user interfaces for several days resulting in longer test cycles and manual processes, extending the feedback loop.
Continuous testing demand parallel execution of automated tests through modern tools and methods to minimize feedback time. Modern, agile testing methods and tools ensure that the most critical of automated tests are carried out so that the key system features are functional.
Organizations using traditional ops can shorten this journey towards continuous testing by reusing and aligning their existing automation capabilities.
In DevOps and agile methodologies, modern and traditional IT organizations have an opportunity to accelerate their digital initiatives and provide more business value. Implementing Continuous Testing can truly bridge the chasm between development and operations.
We will continue this conversation about the practical and challenges of implementing agile and in a rapidly changing digital landscape. Find out how our QMetry suite of products is helping DevOps and Agile teams with our arsenal of automation products and frameworks.