Operations | Monitoring | ITSM | DevOps | Cloud

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

Kubernetes Optimization Beyond Requests and Limits - Node Scaling Blockers

Many of us understand the concept of Kubernetes Requests and Limits, and that by reducing over-sized resource requests we can reduce waste in our clusters. And for GKE Autopilot and EKS Fargate clusters that is true. Because you’re being billed directly for the resources you’re requesting, driving down requests can result in instantaneous savings. However in most hosted Kubernetes environments you’re not actually being billed for requests.

Your Company Has 10x More Developers Than You Think

The low-code promise failed for 15 years. AI builders delivered in 15 months. Here's what actually changed, why the engineer in me resisted it, and what it means for every CTO. Romaric founded Qovery to make Kubernetes accessible to every engineering team. He writes about platform strategy, developer experience, and the future of cloud infrastructure.

Don't Ban the Builders - Govern Them

AI tools turned everyone into a builder. Your sales team, your finance team, your CEO - they're all shipping apps now. The answer isn't to ban them. It's to give them a governed platform they actually want to use. Romaric founded Qovery to make Kubernetes accessible to every engineering team. He writes about platform strategy, developer experience, and the future of cloud infrastructure.

WireMock alternatives: pick the one that fits your problem

Picture this. You’re standing up a new service. Cursor or Claude Code wrote most of the controller, and it calls a payment API your team doesn’t own. Now you need tests. The agent is gamely inventing the response shape from whatever OpenAPI doc you fed it (which is a year stale), and the WireMock stubs it just generated are guesses dressed up as JSON. Three weeks later production breaks, the test suite was green the whole time, and nobody knows where to start looking.

Teamwork Collection: Built for the Next Era of Teamwork

Your team's best ideas shouldn't get lost between the doc, the ticket, and the meeting recording — but that's exactly what happens when AI lives outside your workflow. Teamwork Collection by Atlassian puts AI agents and your team on the same page — literally. Ideas flow to execution, agents pull context from your actual projects, and the line between "human work" and "AI work" starts to disappear.

AI Won't Replace You. Someone Using It Will.

AI isn’t about replacing engineers. It’s about leverage. The teams that win will be the ones that: Triage incidents faster Correlate signals automatically Reduce manual investigation Automate repetitive operational work In observability, that means asking: AI won’t eliminate expertise, it amplifies it. The real risk isn’t AI taking your job. It’s competitors using AI to operate at a speed and efficiency you can’t match.

Decoding design: How design and engineering thrive together in open source

Open source thrives on engineering-driven processes. Fast feedback loops, terminal tools, Git workflows: they’re the lifeblood of how we build software in the open. But for software to truly excel, we need to create user experiences that empower people to use them. I wanted to bring this conversation into the spotlight as part of Canonical’s Open Design initiatives. What better way than at FOSS Backstage 2026 Berlin?

Autonomous K8s Optimization Involves Both Compute and Storage Resources - Are You Doing Both?

One of the most powerful capabilities in K8s is the ability to autoscale resources to meet demands, scaling resources up during peak periods to ensure performance, and down again during lower periods to save money. In this joint session, Lucidity and Kubex walk through what end-to-end K8s optimization looks like when you address both layers together. We cover: Expect real examples, not slides full of theory. You’ll leave with a clear picture of where waste is hiding in your environment and a prioritized approach to addressing it.