Operations | Monitoring | ITSM | DevOps | Cloud

What if compliance and audits are actually symptoms of a bigger security problem? Neil Watkins from Burns & McDonnell challenges traditional security and compliance processes, explaining how automation and continuous compliance can help organizations deploy software faster while collecting real-time evidence that security controls are working. The future isn't just about passing audits. It's about proving compliance continuously, without relying on manual inspections.

Everyone feels faster with AI, but almost nobody can prove it. In this hands-on GitKraken workshop, Jeremy Castile, Scott Ferguson, and Justin Roberts show you how to get a real read on your AI agents: what they actually cost, what they produce, and whether they’re making your team faster, then how to take that data and improve it. You’ll see how to read an agentic workflow across adoption, autonomy, activity, cost, and outcomes in real time, how to spot where you’re overspending, and how to run and right-size multiple agents so you scale your agent work without scaling the bill.

If you've never used Sentry, this is the short version. In under eight minutes, we walk through what it does, what it captures, and where to go next. Sentry is an application monitoring platform. It collects errors, logs, timings, and replays, and ties them together with tracing, so you can go from "something broke" to the line of code that broke it without opening six tabs. Here's what we cover: On data: out of the box, Sentry scrubs things like passwords, tokens, and credit card numbers. You decide what else gets collected, and you can choose US or EU storage.

Anthropic's AI agents are logging 6x more hours than the humans directing them. Is this the beginning of a fundamental shift in how businesses operate? New data from Anthropic reveals how AI agents are transforming the workforce, accelerating software development, and changing what employees actually do every day. But the biggest story isn't just AI productivity. It's what happens next.

Everyone's calling the way software gets built in 2026 a "software factory". The idea is almost sixty years old. In this explainer, we trace the software factory from Ford's moving assembly line to the AI coding agents working on teams today, in plain language. We get into.

PHP2Shell let attackers run code on PHP servers without logging in, and updating a CMS or its plugins didn't help. Only a new version of PHP fixed it. In this explainer, we break down how the two flaws work (CVE-2026-109618 and CVE-2026-109619, both rated 9.2 critical) and what Upsun Cloud did between PHP's one-day warning and the fix. We get into.

"CFEngine: The agent is in" is our monthly webinar series, where we show new features, teach best practices, and keep the community informed about everything CFEngine.

Your AI agent just approved a return it shouldn't have, and nothing threw an error. Here's one agent request as a trace: the agent span, LLM calls, tool calls, and retrieval, with tokens and latency at every step. The fix wasn't the prompt. It was the data.

Most content comparing monitoring and observability stays at the definitional level: three pillars, metrics versus traces, known and unknown unknowns. This session skips that and looks at the operational side instead.

Your telemetry data can reduce engineering complexity AND make your software more sustainable - find out how in this episode! Welcome to Episode 5 of Live Laugh Logs, the podcast from the Coralogix Developer Relations team. This week, Annie is joined by Wilco Burggraaf, Principal Lead at HighTech Innovators and host of the Sustainable IT Action Netherlands meetup.