The success of DevOps depends on the team’s ability to have the right mix of human judgment, culture, process, tools, and automation. Here are seven essentials to help you be cautious and prepare for your DevOps journey.
The best way to ensure users have a positive customer experience is to use error monitoring to catch errors in real time so you can respond immediately. Error monitoring provides hope for avoiding poor app store ratings and for keeping customers satisfied.
Fixing a bug in one area of the software may break something in another area. To detect whether defects have been introduced, we need to perform regression testing—executing certain test cases again to see whether a change has affected other existing features. But how do you make time for another testing cycle prior to every production release? You need to get QA involved earlier in the software development lifecycle.
DevOps does speed up your processes and make them more efficient, but companies must focus on quality as well as speed. QA should not live outside the DevOps environment; it should be a fundamental part. If your DevOps ambitions have started with only the development and operations teams, it’s not too late to loop in testing. You must integrate QA into the lifecycle in order to truly achieve DevOps benefits.
QA testers often take on more of a role than just testing software code. When the team needs help, QA should lend a hand in assisting with business analysis, customer communication, user experience, and user advocacy.
As if working at Lego isn’t fun enough, Sherri Sobanski delights in finding new ways to test. Faced with a situation requiring a complete product redesign, she shares the route her team took to overhaul testing.
QA is often considered that lonely department of testers whose job is to find defects before the customer does. It's not always glamorous, but QA deserves to be recognized as a key cog in the testing machine. To achieve business goals, it is Susan Bradley's view that the QA process needs to be embraced throughout the entire software development lifecycle.
Melissa Benua, director of engineering at mParticle, chats with TechWell community manager Owen Gotimer about the importance of whole team quality, how to get started using the test pyramid, and how developers can start writing testable code.
Greg Paskal, test automation lead at Ramsey Solutions, talks about data lakes and how to effectively use data visualization. Done well, data visualization should help practitioners, managers, and stakeholders easily consume, understand, and act on the information the visual displays.
In this interview, Anj Dubey, director of performance engineering for McGraw-Hill Education, discusses the need to shift left and embed your performance engineering into your CI/CD pipeline in order to ensure that every line of code is going to meet your performance requirements.
Are you a leader with a quality problem? Every organization struggles with quality at some point in their product lifecycle. Knowing what to measure and how to build a culture of quality with specific and actionable methods is key.
Too often quality is identified as solely owned by the quality assurance team. By taking a broader approach to roles, tools, and ideology, you can restructure your vision of how to provide rapid, frequent releases that empower all delivery team members.
Modern software development organizations often build teams around features. Unfortunately, these teams tend to become siloed, building tools and processes without being aware of how other teams have solved the same problems.