Business of DevOps
AI Coding Costs Could Exceed Developer Salaries, Gartner Warns
Enterprises rapidly adopting AI coding assistants may eventually face an unexpected financial reality: the AI tools could cost more than the developers using them. According to new research from Gartner, spending on ...
The DevOps Practice Most Teams Skip When Adopting AI Agents
Code generation got fast. The competitive advantage is now in the Second and Third Ways. If you don't have instruction files in your repo, start there. If you do, monitor how often ...
How to Automate API Testing in CI/CD Pipelines
Automating API tests and plugging them directly into your CI/CD pipeline is no longer a complex undertaking reserved for large engineering teams ...
Your AI Testing Framework Might Be Passing Tests It Should Be Failing
Engineering teams are not evaluating whether AI belongs in their testing workflows anymore, but are discovering, sometimes painfully, that the architectural decisions they made when integrating it are the ones that will ...
How AI Is Transforming DevOps and Cloud Engineering
While AI is often associated with chatbots or generative models, one of its most significant impacts is happening behind the scenes — within DevOps and cloud engineering ...
Your Foundation Model is a Service. Operate it Like One
The FM life cycle is just the SDLC with more math and less mercy at 3 a.m. You have survived canary deployments that took out 40% of prod instead of 5%. You ...
Modernization Is Not Migration
Modernization worked only if the platform became easier to change, easier to understand and safer to run under pressure. That is not a philosophical position — it is a measurable one ...
Why CI-Based Security is Too Late for Modern Node.js Projects
Most Node.js teams rely on CI pipelines to tell them whether their dependencies are secure. By the time that feedback arrives, however, the most important decisions have already been made ...
These are 10 CI/CD Pipeline Mistakes That Slow Down Engineering Teams
Continuous software delivery in the digital age depends on CI/CD pipelines, which enable engineering teams to rapidly develop, test, and deploy code while maintaining high usability and consistency across environments ...
The Bottleneck Isn’t Coding Anymore. It’s Verification
The teams that come out ahead in the next two years won’t be the ones that adopted agents fastest. They’ll be the ones that invested in verification capacity with the same seriousness ...
Mastering the Blast Radius, Deployment Without Fear- Progressive Delivery in Modern DevOps
‘Progressive delivery’ is the modern evolution of continuous delivery, designed to reduce the blast radius of new features and decouple ‘deployment’ (moving code to production) from ‘release’ (exposing features to users) ...
Shift-Left Performance Testing in CI/CD: A Practical LoadRunner Framework
CI/CD pipelines speed up software delivery, but performance testing is often delayed, resulting in late feedback and costly fixes. Many teams run tests earlier but fail to enforce performance as a deployment ...
