Operations | Monitoring | ITSM | DevOps | Cloud

The NetOps Dashboard Era Is Closing: Our Take on Gartner's 'The Future of NetOps Is Agentic'

For roughly fifteen years, operating a network has meant living inside a vendor dashboard. An engineer’s skill was, in large part, the ability to read those panels quickly and act on what they showed. Gartner’s read in “The Future of NetOps Is Agentic” is that this arrangement is closing, and sooner than most teams have staffed for.

On call? Don't miss the next World Cup match.

Plans change - and your on-call schedule should be able to change with them. With SIGNL4, you can quickly arrange shift coverage from your smartphone, so your team stays fully staffed while everyone knows exactly who's on duty. Whether it's a World Cup match, a family event, or any other last-minute plan, SIGNL4 helps you manage stand-ins and shift handovers without phone calls, spreadsheets, or confusion.

Sentry + GitHub Copilot: Let Agents Find and Fix Your Errors

Andrea Griffiths is a Senior Developer Advocate at GitHub. She uses Sentry to monitor the Python scripts behind GitHub’s community streams, because when those pipelines fail, nobody knows until users start complaining. GitHub and Sentry built a loop that fixes that. Sentry catches the error, Seer diagnoses it, and Copilot drafts the fix. No one has to be in the middle of it. In this session, Paul Jaffre (Developer Experience at Sentry) breaks down what Seer is, then he and Andrea break a real script live and watch the loop catch it, diagnose it, and open the fix as a pull request.

Session Replay: Reproducible User Sessions

See what your users see. Don't try and guess what happened, watch it. Session Replay is a feature for Mobile and Web apps on Sentry to record user sessions as reproducible sessions. These are not videos. On web, a session replay contains the entire DOM reconstruction and DevTools. It's exactly like inspecting in Chrome DevTools locally on your machine, but in a real production session.

AI Amplifies Your Existing Practices: Lessons from Our Shift to an AI-First Strategy

In this two-part blog series, I give a detailed report-out on how our Honeycomb engineering team 2.5x-ed our throughput using AI without breaking everything or lowering our standards for quality. Part 1 explains how we did it and shows data about how that ramp-up happened. In this blog, I share what we learned. The “platform engineering” frame and the “autonomy, ownership, feedback loops” frame are the same frame, spoken in two different vocabularies.

30 to 70 PRs a Day: How We Managed to Not Wreck Our Systems

In this two-part blog series, I give a detailed report-out on how our Honeycomb engineering team 2.5x-ed our throughput using AI without breaking everything or lowering our standards for quality. Part 1 explains how we did it and shows data about how that ramp-up happened. Part 2 shares what we learned.

The Investigator That Remembers: Inside Klaudia Memory

There is a particular kind of incident every SRE team is familiar with. A common component of your stack, say your Redis database, starts misbehaving. Someone spends two hours tracing it back to a connection pool exhausted by a misconfigured client, the fix goes in, and everyone moves on, for today. The following Tuesday it happens again, and whoever is on call investigates it from scratch, because the person who solved it last week is asleep, on vacation, or working somewhere else now.

Tealium's Dr. Martin Nettling on reviewing AI-generated work

Cortex co-founder and CTO Ganesh Datta sits down with Dr. Martin Nettling, Senior Director of Engineering and Head of QA at Tealium, to explore the distinction between trusting people and having confidence in tools, and why that difference matters as AI becomes part of every engineering workflow.