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

Instant Java Client SDK, no spec required!

Learn how to generate a client SDK for a production service when you have no documentation, no OpenAPI spec, and no remaining team knowledge of the original Ruby code. This demo shows you how to capture real production data from a running app and transform it into a functional Java client library in minutes. Visit proxymock.io OR speedscale.com to learn more.

OpenTelemetry Monitoring with Netdata

If you've standardized on OpenTelemetry (or you're heading that way), you probably know the collector gets your data out, but where it lands and how useful it is once it gets there are separate problems. Netdata now ingests both OTLP metrics and OTLP logs natively, so your OTel pipelines feed directly into the same monitoring experience as everything else in your infrastructure: same dashboards, same alerting, same query interface. No separate backends, no context switching.

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.

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.

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.

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.

AI Might Break Open Source Differently Than You Think

AI coding agents may not replace open source libraries overnight. But Adam Arellano, Field CTO at Harness, thinks models like Mythos could expose a bigger problem: finding bugs, vulnerabilities, and edge cases faster than maintainers can keep up. That might be the real threat to tools and libraries.

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.

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.

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.