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

Run your first microbuild in 5 minutes

AI coding agents produce code faster than most teams can validate it. Without a validation step between the agent and CI, every problem gets caught after the push, and feedback arrives long after the agent has lost context. Agents need consistent feedback while they’re working so that small failures get fixed locally and CI stays focused on moving code into production.

Preview launch: the Agent Impact Leaderboard and the Business Impact & ROI Dashboard

The Agent Impact Leaderboard and the Business Impact & ROI Dashboard are live in preview inside GitKraken Insights today. We built them because the questions engineering leaders are getting asked about AI shifted faster than the tools to answer them. Here’s what shipped and how to get access.

You probably don't need private PKI for internal infrastructure

Running your own certificate authority sounds like the responsible choice for internal infrastructure. Distribute your root cert to every machine and issue certs internally. In practice, you spend the next six months chasing down every device, contractor laptop, and vendor console that didn’t get root installed. The warnings come back. And when they do, people click through them, because they always have. There’s a simpler path, and most teams don’t know it exists.

Your developers are using AI agents, your data exposure just multiplied

Your developers are already using AI agents. GitHub Copilot, Cursor, Claude Code. Not just for autocomplete, but to generate features, run test suites, and iterate across branches. Each agent needs a database to work against. And in most organizations, nobody has checked what's actually in that database, or whether it should be there.

Observability Expanding Beyond Infrastructure and Into AI Systems

Observability revolves essentially around understanding infrastructure health. This means that operations teams monitor applications, netwo0rks, database and cloud environments using familiar signals. They use logs, metrics, latency, uptime measurements, and traces. If systems remain available and the performance stays within expected thresholds, the teams have enough visibility to understand whether applications are functioning properly.

Top 7 Multi-Cloud Management Platforms for Enterprise Teams

Multi-cloud management becomes difficult in a very specific way. The problem is usually not that an organization uses more than one cloud. The real problem is that architecture, governance, cost control, provisioning standards, and team workflows start evolving at different speeds. One team is optimizing delivery. Another is trying to lock down policy. A third is dealing with private infrastructure that still matters. A fourth is trying to make cloud spending predictable.

5 Best ADO.NET Providers: Use Cases & Choosing Tips

Behind every modern.NET application is an ADO.NET provider handling database connections, queries, and ORM operations behind the scenes. As applications become more cloud-native and data-intensive, that provider layer has become far more important than many teams realize. Performance, scalability, deployment reliability, and even developer workflow can all depend on the quality of the provider underneath the application.

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.