Operations | Monitoring | ITSM | DevOps | Cloud

Your Prospect Data Is a Pipeline, and Nobody Is Monitoring It

Engineering teams have spent a decade learning that data has a shelf life. Metrics go stale. Caches drift. Pipelines break quietly and keep serving results that look plausible until someone checks the source. That is why observability exists as a discipline and not just a dashboard.

How eDiscovery Review Strengthens Evidence Analysis for Legal Teams

Legal evidence now lives across emails, chat exports, contracts, spreadsheets, shared drives, and metadata trails. For legal teams, the real challenge is not collecting documents; it is finding the material that can support, weaken, or reshape a case. A disciplined review process turns scattered information into organized evidence that attorneys can trust.

AI ROI is not an engineering metric

I spend most of my week talking to companies about AI ROI. A few months ago, that was still a weirdly specific conversation. Now it’s everywhere. CloudZero spends a lot of time in that conversation, so I’m glad the market is talking about it. But the conversation tends to start, and stall, in the wrong place. There are two ideas I keep coming back to: That doesn’t mean developer productivity is fake. It’s very real.

Sentry + GitHub Copilot Agents

Seer, Sentry's agent debugger, analyzes your issues and finds the root cause. Now you can pass that analysis directly to a GitHub Copilot agent which picks up the context, generates a fix, and opens a pull request. The agent session and PR both live on GitHub, with a link back in Sentry for easy access. This video walks through how the integration works.

Why Internal Agents Must Be Rebuilt with Runtime Context

As we entered 2026, enterprises raced to build internal AI engineering agents, automating incident response, code review, and support. The investment was real, but 88% of these pilots never reached production, and teams are now in rebuild mode, trying to understand why. Live runtime validation was the key architectural decision skipped in these v1 agents and it’s still missing from many v2 designs. Agents need to verify their reasoning against production before they act.

Building a Control Framework for the AI SDLC

Since November, Kosli’s own engineering team has been running a live experiment: what happens to code review when the thing generating the code - and increasingly, the thing reviewing it - is an AI, not a person. Alex Kantor, Kosli’s Director of Technology, walked through that experiment in this webinar: what broke, what it cost to fix, and what four “obvious” assumptions in a standard code review control turned out not to hold once you took the human out of the loop.

3 Things Leaders Must Know About Scaling AI

AI is moving faster than ever, but is your governance keeping up? In this video, Brooke Johnson, Ivanti’s Chief Legal Counsel and SVP of People and Security, breaks down the critical gap between AI adoption and responsible scaling. While speed is rarely the issue, trust and accountability are becoming major roadblocks for IT teams. We explore why nearly 70% of IT pros have witnessed AI hallucinations and how unclear ownership can stall even the most advanced AI initiatives.