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The latest News and Information on DevOps, CI/CD, Automation and related technologies.

AI adoption is messy. Here's how engineering leaders are taming the chaos.

There's a moment every engineering leader hits when implementing AI where they realize that no one really knows what they're doing. Not your competitors. Not the consultants. Not even the executives pressuring you to show results yesterday. Everyone is figuring this out in real time, and beneath the confident vendor pitches and LinkedIn thought leadership, the truth is messier than anyone wants to admit.

How the Best IT Help Desk Automation Gives Tickets the Context They Should've Had All Along

IT help desk automation has evolved far beyond scripts and workflow triggers. It refers to intelligent, agentic systems that enrich, triage, diagnose, and recommend or execute actions before a human ever touches the ticket. Modern automation gathers the context engineers normally have to hunt for and presents issues as decision-ready cases. In IT, we love predicting the end of things: data centers, passwords, and yes, tickets. Zero Ticket IT often gets misunderstood in that same category.

Evidence as an Input

Evidence isn’t something you produce at the end — it’s something every control generates for the next one. In this video, Mike Long (CEO & Co-founder, Kosli) explains how vulnerability scans produce evidence tied to the artifact fingerprint and the policy file used, and how that evidence becomes an input to downstream controls like release approvals. This is the core of reusable, continuous compliance.

Why Release Control Takes Weeks

The industry standard for release control is painfully manual: long-form policy documents, ServiceNow forms, human approvals, meetings, and tickets that take days or even weeks to close. In this video, Mike Long (CEO & Co-founder, Kosli) explains the difference between manual release control and an automated, zero-trust model where evidence is collected automatically, provenance identifies the artifact, and approvals can be fully codified.

Heroku vs. Kubernetes

If you are deciding where to deploy a web app, you will almost always run into a choice between a platform like Heroku and running on Kubernetes. This article will compare Heroku and Kubernetes. They are two popular platforms for deploying and managing applications. This article breaks down the key differences in architecture, use cases, complexity, cost, and scalability to help engineers choose the right go-to platform for their needs.

Why Monitoring the Physical Environment Matters: From Data Centers to Factory Floors

Physical environment monitoring is the practice of measuring and tracking environmental conditions that directly affect equipment, people, and operational continuity. While digital systems dominate modern operations, physical conditions still determine whether those systems perform reliably or fail unexpectedly. A single temperature spike, humidity imbalance, or power fluctuation can undo layers of software redundancy.

The Domain Management Framework Ops Teams Should Be Using in 2026

You've probably had that moment. A minor outage hits production, and after a few hours of head-scratching, someone traces it back to a domain issue. Expired records, a DNS change that didn't propagate, a forgotten subdomain pointing to nothing. It always seems small-until it's not. And in most Ops teams, domains are still treated like static assets when they're anything but.

How to Test Your React Frontend When the Backend Is Offline

Picture this: You’ve spent hours perfecting your React component. The animations are smooth, the responsive design works flawlessly, and you’re ready to test the user flow. You click “Submit” and… nothing happens. Or worse, you get a cryptic CORS error. The problem? Your backend isn’t running. Again.