Operations | Monitoring | ITSM | DevOps | Cloud

Your Playwright test clicks Next page, waits for the item list, and times out. Now you’re digging through a trace to find out whether the page broke or an API call failed. Traditional browser-testing workflows focus on clicks, page state and UI assertions. Those checks tell you whether a user journey works, but investigating a failure also means understanding the APIs behind the page.

Cross-source API correlation connects runtime findings to their code, documentation, and fixes for improved defense against machine-speed attacks. It's late on a Thursday, and a runtime alert fires on POST /api/v2/payments in production. The finding is clear. What happens next is not. In fact, it creates a host of questions to be answered: Every AppSec team knows this hunt. And every day spent hunting for the right repo and owner is a day the attacker can still exploit a vulnerability.

A tricky Google Cloud support ticket that spanned GKE, Private Service Connect (PSC), Networking, Hostnet, Kernel, and the Linux kernel itself.

Honeycomb recently launched Canvas connectors, with Checkly serving among its first group of integration partners. With the Honeycomb Canvas connector for Checkly, the Canvas Agent can bring your synthetic monitoring into an investigation to help determine which checks are failing, from which locations, since when, and what Rocky AI identified as the likely root cause.

Change one field in a.proto from double to string, and nothing complains. The code compiles, the deploy goes green, and a service still built from the old contract keeps answering with a double. Here’s what Go’s protobuf runtime does when a client on the new contract reads that answer: No error. risk_score comes back empty, and the nine bytes of the double are tucked away as unknown fields.