Contributed Content
Why DORA Metrics Look Different When AI Is Part of Your Development Workflow
DORA metrics have been a reliable compass for engineering teams for over a decade. Deployment frequency, lead time for changes, change failure rate, mean time to recovery, and reliability give teams a ...
Co-Developing an AI Native Observability Platform
Modern distributed hybrid enterprise environments are moving away from siloed monitoring toward AIOps platforms like Selector AI, which combine multi-domain data ingestion, domain-specific network language models, and co-development to enable autonomous, agentic ...
AI Agents in CI/CD Pipelines: Speed vs Control in Modern DevOps
The moment you push your code, deployment fires off on its own. The pipeline kicks in, the tests sail through, and within a few minutes your app is live in production. There ...
Designing an AI-Powered DevSecOps Guardrail Pipeline Using GitHub Actions
By embedding AI-powered guardrails directly into CI/CD pipelines, organizations can detect vulnerabilities earlier, enforce security policies automatically and accelerate secure software delivery. ...
Modernizing DevOps Security With Intelligent KYC Enforcement Layers
This is where smart KYC enforcement layers fit in — not a compliance box, but an engineering control that is directly part of DevOps processes. ...
Eight Ways AI Will Reshape DevOps in 2026 and Beyond
In 2026 and beyond, AI will not just change how software is developed, but change the very fundamentals of how people work ...
Low-Code/No-Code in Microsoft 365: How Power Platform is Redefining Enterprise DevOps
Low-code and no-code platforms like Microsoft Power Platform are reshaping enterprise DevOps. When combined with cloud architecture, DevOps discipline, and AI-driven assistance, they enable organizations to deliver solutions faster without sacrificing control. ...
CI/CD Supply Chain Security: Hardening Artifacts, Dependencies, and Delivery Pipelines
Modern CI/CD pipelines have become one of the most attractive attack surfaces in enterprise environments. As organizations push for faster releases, broader automation, and greater reuse of third-party components, the software supply chain ...
The Evolving Role of Observability in DevOps
DevOps practices have fundamentally changed how software is delivered, operated, and improved. At their heart, DevOps methodologies seek to unify development and operations, enabling teams to ship changes more quickly while maintaining ...
How to Create an AI Acceptable Use Policy
When teams know which tools are acceptable and which data are off-limits, AI becomes a disciplined advantage rather than a quiet source of risk. ...
The “Day 2” AI Problem: Why Standard API Gateways Fail at GenAI Scale
Injecting GenAI into applications is deceptively easy. Need a new chatbot backed by an LLM? Grab an OpenAI API key and you can throw together an MVP in an afternoon. This is ...
When Millions Arrive in a Minute: Why Reactive Autoscaling Fails and the Predictive Fix
For high-heat events where demand arrives faster than readiness can be achieved, predictive scaling is a structural advantage. ...

