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

Why cloud fragmentation is slowing teams down and how unified platforms solve it

Engineering teams today manage infrastructure spread across multiple clouds and tools. Whether this happened through gradual accumulation or deliberate strategy, the result is the same: complexity that slows teams down. Managing each cloud separately with different tools and workflows is a bottleneck to delivery speed, operational efficiency, and platform reliability.

Accelerating Our Mission to Bring AI to Everything After Code

Since launching Harness in 2017, we’ve been on a mission to unlock faster innovation by removing the bottlenecks that slow software engineering teams down. From day one, we believed that the biggest obstacles in engineering weren’t in writing code — they were in everything that followed.

The AI Cost Crisis: 'AI Cost Sprawl' Is Crashing Your Innovation (AI Cost Sprawl Explained + How To Fix It)

AI should speed up innovation, not inflate your cloud bill. But today, the biggest GenAI challenge for SaaS teams isn’t model quality; it’s cost. And increasingly, that cost comes from AI cost sprawl. That’s not because anyone is doing something wrong, but because AI operates differently from the cloud services we’ve all spent a decade learning how to manage.

Gamifying FinOps (And CloudZero) For Better Adoption

In our increasingly online world, managing cloud, AI, and other tech spend has shifted from a good idea to an absolute necessity. But even when cost management is a priority, how do you get busy development teams and engineers actively engaged in the new practices? New initiatives are often viewed as more work on the team’s plate, which is an understandable deterrent to adoption. That leaves FinOps proponents struggling to get others on board.

Capture and Use Network Response Data in AI Powered Testing

Learn how to capture and use response data from network calls to build smarter and more reliable AI-driven tests. This walkthrough covers the full workflow from configuring user actions to extracting backend responses, validating data, and creating dynamic test flows. You will also see how response data improves debugging visibility and supports data-driven automation. The video includes Ideal for developers, testers, and platform engineers looking to improve the accuracy and resilience of AI-powered test suites.

What I Learned From Building an eBPF-Based Traffic Capture Application

I just finished building Speedscale’s eBPF-based component to capture and analyze network traffic in a Kubernetes cluster, and it forced me to confront some uncomfortable truths about observability. While there were certainly some challenges along the way, particularly in dealing with Go applications, the approach was relatively straightforward.

CI/CD for Go Microservices on Scaleway Kubernetes with CircleCI

Development teams depend on microservices to build, deploy, and scale features independently. Microservices have become the backbone of modern, scalable applications. Scaleway’s managed Kubernetes service (Kubernetes Kapsule) offers a powerful, cost-effective platform for running containerized workloads in the cloud. It’s a great fit for startups and solo engineers who want to focus on shipping features, not managing infrastructure.

How Self-Service Workflows Transform Developer Productivity

Forget the ticket queues and slow handoffs. Harness Workflows let developers spin up services, environments, and everyday ops tasks in minutes. It’s self-service that’s fast, safe, and actually fun to use. A developer once told me, half-joking and half-frustrated, “I spend more time waiting than coding.” It wasn’t the dramatic kind of waiting, like an hour-long debugging session or a blocked deployment at midnight.

Building dbRosetta Part 5: We Need an API

Because I don’t want to have to fight with our support team (they’re awesome, but busy) I decided that, initially, I’m going to host dbRosetta at ScaryDBA.com. I have full control of the web site, and I won’t be breaking Redgate Software entirely if I accidently do something silly. Before starting the process of developing our next prompt, or set of prompts, I discussed the project with CoPilot. We agreed to break the next part into two pieces.

Top Data Center Management Trends to Watch in 2026

The pace of change in data center operations shows no sign of slowing, and 2026 is shaping up to be another year of rapid evolution. AI-driven demand is accelerating, hybrid architectures are growing more complex, and capacity constraints are forcing teams to rethink how they plan and operate their environments. Against this backdrop, data center professionals are reassessing the tools, processes, and strategies they rely on every day.