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

Sensor-Level Access Control: A Game-Changer for Colocation Providers

Enter Hyperview’s sensor-level access control—a revolutionary approach that transforms this dynamic. By enabling granular access to individual sensors within shared environments, Hyperview empowers colocation providers to deliver the visibility their clients need while maintaining strict security and operational simplicity.

Migrate Your On-premises to the Cloud: A Step-by-Step Guide

Is it time to migrate your data center applications to the cloud? Get key considerations and a step-by-step migration path. Migrating your on-premises data center to the cloud can seem like a daunting task, from deciding on the right cloud deployment model to ensuring that your network connectivity is secure and scalable. For many companies, the question isn’t whether to migrate, but how to do it efficiently and with minimal disruption.

Step 2 to Web App Deployment: Back-End Deployment

Front-end deployment can embarrass you. Back-end deployment can wake you up at 2:13am. This is where web app deployment stops being about assets and starts being about state, uptime, traffic, and data that absolutely refuses to forget what happened five minutes ago. Back-end deployment is where complexity compounds. Quietly. Patiently. And then all at once. Let's talk about what's actually happening when you "just deploy the API.".

You Bought the AI Licenses. Why Is Only One Developer Getting 10x Results?

Here's something nobody talks about at the AI strategy meetings. Your organization just spent six figures on Cursor licenses, Claude seats, and Copilot subscriptions. Ninety percent of your engineers have access. By most internal measures, the rollout was a success. But somewhere on your team, one developer is running circles around everyone else.

Continuous Integration (CI) Testing Best Practices in 2026

Continuous Integration (CI) is an essential practice in modern software development that enables developers to continuously integrate their code changes into a shared repository. Through automated building and testing processes, CI ensures that every code change is tested thoroughly, preventing integration issues and improving software quality. In this article, we will explore the best practices for effective Continuous Integration testing.

Your Cloud Is Transparent - Just Not to You

Many organizations that have moved to the cloud enjoy the flexibility and scalability it provides. But as cloud environments grow, a new challenge emerges: how to maintain real visibility and control over the environment that runs the business. In a new article published on People & Computers, we discuss one of the most common blind spots in modern cloud operations — situations where the same external provider both operates the environment and reports on its performance.

AI at Superhuman (before it was cool) feat. Loïc Houssier

What does it actually look like to build an AI-native product and lead an engineering team through the AI era when you've been doing it longer than most? Rob Zuber sits down with Loïc Houssier, CTO at Superhuman, to talk about what it meant to be an AI company before AI was everywhere, and how that early foundation shapes the way they build, ship, and think today.

Why the AI market is shifting

The AI revolution is getting expensive. Ben Norris (AI Engineer at Civo) breaks down a staggering statistic: AI token usage has jumped from 9.8 trillion to 1.3 quadrillion in just under two years—a 130x increase. As businesses scale, the "closed source" premium is becoming a bottleneck. Watch as Ben explains why enterprises are turning toward democratized, open-source AI and smaller vendors like relaxAI to maintain power at a fraction of the cost.

Harness AI + MCP server: A Single Prompt to Accelerate the Software Development Lifecycle

Pipeline Creation: Using a single prompt in the IDE, a CI/CD pipeline is created and triggered via the agent connected to the Harness MCP server. Failure Diagnosis and Fix: When the pipeline fails, the agent is used to diagnose the issue (a failed dependency) and propose a fix, which is then committed, pushed, and the pipeline re-triggered to succeed. Deployment: After a successful build, the artifact is deployed into a Kubernetes cluster. Incident Response.