Adopting a machine learning-driven self-healing technique in test automation can prevent flaky tests, reduce test failures, and save time on code maintenance. Self-healing is one of the essential factors for successfully performing continuous testing in the DevOps model.
DevOps is the preferred methodology for software development companies looking to code, build, test, and deploy software as a continuous process. It is popular because it creates a fast-paced, results-oriented, collaborative environment that encourages cross-skilling and self-improvement.
Most organizations understand that test automation is essential for modern application delivery processes. They’re just not sure how to make it a reality in an enterprise environment without exorbitant overhead and massive disruption. Enterprise organizations typically achieve small victories, but the process ultimately decays due to challenges in five main areas. Understanding these challenges will help us overcome them.
Testing continuous technological change can seem like chaos. There are many challenges that need to be managed, such as unavailability of power, excessive temperature, incorrect configuration, unexpected behavior of services, network downtime, and processing slowdown in production. By deliberately engineering chaos, we’ll be able to discover many of our systems’ weaknesses before our users do.
Following agile ceremonies may make an organization feel good, but that’s only a start. “Great big agile” requires leadership at all levels to focus on self-organization and empowerment as a universal framework.
So you think you know Scrum? Using the whimsical notion of farm animals and light-hearted visuals, take a refreshing review of the entire Scrum lifecycle as an intuitive set of roles, responsibilities, and handoffs. Particular attention is placed on what the ScrumMaster and product owner are expected to do at each handoff.
Migrating an organization to continuous integration requires adoption new processes, tools, and automation. DevOps relies on dramatic culture change to encourage total transparency and collaboration among all project stakeholders.
Gene Gotimer, principal consultant at Coveros, chats with TechWell community manager Owen Gotimer about the challenges individuals and organizations face while we work from home during this global pandemic and how getting thrown into remote work could shape our future.
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.
Adam Auerbach, head of testing at EPAM Systems, discusses testing in DevOps and why it’s important we instill a testing culture in DevOps organizations. He says DevOps is about enabling teams to do things on their own, and he gives recommendations for some general metrics that teams can start with to measure speed and efficiency.
In this interview, Adam Satterfield, director of testing and quality at Anthem, discusses the core components that testers need to understand in order to create a test strategy in an agile environment. He also talks about the need to build better communication skills through active listening. And Adam offers advice on sharing the things you have learned through blogging, writing for sites like the TechWell community sites, or becoming a presenter at a conference, as well as the benefits you can gain from that.
Drawing from her own experiences across twenty years in a range of industry roles, Jaimee Newberry shares true stories of at least a dozen tiny but important things she still sees every day that could make all the difference in how people work with you.
The telecom industry changes rapidly, the competition is fierce, and user experience is the utmost priority. In today's world of digitization and data personalization, effective use of agility and DevOps is the key behind ensuring customer satisfaction.
AWS Lambda is a serverless architecture that relieves you of hardware and scaling setup concerns. AWS Lambda functions are used by many organizations for serverless application development and automating DevOps tasks.