Systems | Development | Analytics | API | Testing

In today’s fast-paced software environment, getting product features out the door quickly is the minimum. Getting features out the door quickly + with reliability is what separates high performing teams opening up larger opportunities. This is where DevOps testing comes into play, testing not just at the endpoint of the development + operations lifecycle but as an integrated process throughout every step of the life of the product.

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.

It was a normal day in the land of eCommerce. Birds were singing, dashboards were loading, and merchants everywhere felt cautiously optimistic. Then the ground trembled. A tiny glitch. A flicker. A warning log no one read. And suddenly— BOOM! Shopify burst out of the digital ocean like a gigantic scaly beast that woke up on the wrong side of the server rack. Checkouts froze mid-purchase. Product pages stopped producting. Merchants stared blankly at blank screens. The Commerce Kaiju had arrived.

Modern development strategies rely on continuous integration and continuous delivery (CI/CD) to ship high quality software and updates. A well-designed CI/CD pipeline automates key parts of the software development lifecycle so teams can build, test, and deploy changes faster with fewer errors. To achieve this, development teams need the right CI/CD tools. Before you select your CI/CD solutions, you need to understand CI/CD pipelines and how they work.

TL;DR: Claude Code writes features fast, but you need integration tests. With proxymock MCP, Claude Code can pull real production traffic and validate your changes automatically—one prompt, no manual setup. Watch it catch bugs before production.

Every year, KubeCon offers a candid look at where the cloud-native community stands — the tools gaining traction, the pain points teams share, and the big gaps still holding organizations back. After a week of deep conversations, session hopping, and talking to dozens of platform teams, one theme became impossible to ignore: Platform engineering still isn’t doing enough testing. And even more surprising: many teams don’t think testing is their responsibility.

Cursor is fantastic at cranking out code changes. I recently used it to splice a brand-new downstream API call into one of our Go microservices, and the diff looked great. The unit tests finished before I lifted my coffee mug, yet I still had zero certainty the change would survive contact with real traffic. That gap is all about integration tests, so I paired Cursor with proxymock and the outerspace-go demo service to prove the behavior end to end.