Business of DevOps
Beyond Automation: Building Accountability for AI Agents
The conversation around AI agents has evolved remarkably quickly. Not long ago, most organisations were still experimenting with prototypes and controlled use cases, trying to understand where these systems might fit within ...
The Next DevOps Bottleneck: When AI Generates More Software Than Organizations Can Manage
The organizations that benefit most from AI will probably not be the ones generating the largest amount of code. They will be the ones who build systems capable of managing software at ...
Most Outages Don’t Announce Themselves
Many outages never announce themselves as outages. They show up as rising latency or an error rate that creeps from 2% to 4% over an afternoon while everyone's busy with something else ...
Anthropic Adds Enterprise Gateway to Simplify Claude Code Access on AWS and Google Cloud
Tom Smith | | AI coding tools, AI Governance, cost control, Enterprise AI, Google Workspace, identity management, OTLP, policy enforcement, self-hosted gateway, single sign-on, spend caps, spend management, SSO, telemetry, usage trackingAnthropic's new Claude apps gateway brings SSO, central policy, and spend caps to Claude Code on Amazon Bedrock and Google Cloud ...
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 ...
