Contributed Content
Building CI/CD Pipelines for On-Prem Azure DevOps: What the Cloud Docs Don’t Tell You
The engineering that makes on-prem CI/CD reliable is invisible when it works. When it does not work, the failures are subtle and the documentation is thin ...
Why AI-Driven Devops is Exposing the Limits of Traditional Toolchains and What Comes Next for Engineering Teams in 2026
The future belongs to adaptive systems that can learn, adjust and self-correct in real-time. Teams that invest in observability, modularity and AI-aware governance today will be positioned to thrive in this new ...
Developing Real-Time Event Processing With Micronaut and Kafka Streams: A Step-by-Step Guide
Learn how to develop lightweight, high-performance stream processing applications in Java with contemporary frameworks ...
How AI is Revamping DevSecOps Processes
Umashankar Kotturu | | AI DevSecOps, CI/CD, devsecops, policy as code, security automation, Software Supply ChainArtificial Intelligence is pushing DevSecOps into a new phase where security is no longer just about detecting vulnerabilities, but increasingly about resolving them automatically within the flow of software delivery. As many ...
How Independent Service Deployments Expose the Limits of Conventional Regression Testing Tools
The architectural shift to independently deployable services was supposed to make software delivery faster and less risky. In many aspects, it has. Teams can ship a change to one service without coordinating ...
A Beginner’s Guide to CI/CD and CI/CD Pipelines
Modern software development moves at a pace that would have been unthinkable a decade ago. Organizations push updates on demand, respond to vulnerabilities within minutes, and integrate new features at a relentless ...
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 ...
When AI Agents Get Production Access: The Next Big DevOps Risk
Sannan Ali | | AI agents, autonomous operations, devops, infrastructure automation, platform engineering, Production OperationsIt wasn’t that long ago that AI assistants just watched from the sidelines. They could answer your questions, explain how things worked, sum up logs, and write deployment scripts. Handy, sure, but ...
Reliability Comes From the System, Not the Agent
Andrew Filev | | AI agent reliability, AI agents, AI Governance, Enterprise AI, Operational Excellence, workflow designOne of the most common questions executives ask right now sounds straightforward: is the agent reliable enough yet? It feels like the right place to start, but the framing quietly points people ...
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 ...
