Contributed Content
Multi-Model AI Debate: The New Way to Design Software Systems
How agentic workflows can automate architecture debates, compare tradeoffs and produce stronger software designs ...
How to Build a DevSecOps CI/CD Pipeline on Azure With GitHub Actions
Fix security problems when they’re cheap to fix, which is before the code is deployed. A pipeline that enforces this automatically is what makes that principle real ...
Shadow Mode Continuous Integration: The Missing Test Layer for AI Agents
Autonomous agents require CI/CD pipelines that evaluate behavior, not just artifacts. Containerized shadow mode gives platform teams a practical control point: Run the agent in an isolated Docker environment, replay realistic workflows, ...
From Alerts to Intelligence: Building a Production Self-Healing System for Port-Down Failures
Big, distributed computing systems seldom have visible failures. Most of them start without any bang, frequently with a health-check disconnection, a failed TCP connection or a service port that is no longer ...
Self-Healing Infrastructure With Cognitive Automation: How LLMs and Ansible Transform Middleware Reliability
Infrastructure reliability has always been central to enterprise success, yet traditional automation methods often fall short in handling complex, dynamic environments. With the rise of large language models (LLMs), a new paradigm ...
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 ...
