Operations | Monitoring | ITSM | DevOps | Cloud

"My mouse is on the left side of my keyboard and I'm not left handed." Not every computer problem is urgent. Here's how to prioritize your IT tickets so the real problems actually get fixed first.

At any given moment, your AI systems can be down, slow, overloaded, or just returning bad results. Someone's gotta babysit the bots. Sentry traces across your AI pipeline, from user request to final response, so you can see exactly what's happening and fix it.

In this episode, we explore neurodiversity in tech and beyond with guests Carl Alexander and Zach Stepek. They share firsthand experiences of what has helped them thrive as neurodivergent professionals and what has not. Together, they discuss the importance of community as a key factor in empowerment, growth, and long-term success for neurodivergent individuals in both work and life. PlayList Resources for Further Learning.

Tired of outage after outage? Use traffic replay to automatically generate regression tests for your CI pipeline in just a few clicks. Take back your time! Read more at speedscale.com.

AI agents write broken code nearly 50% of the time. By adding a traffic-based deterministic evaluation, Speedscale boosted unsupervised bug-fixing quality from 51% to 77% in just 5 minutes. This helped slash token costs and eliminate rework without human intervention. Learn more: speedscale.com.

Today, we're launching Autonomous Worker Agents, AI agents that run as governed pipeline steps inside Harness. They inherit OPA policies, RBAC, audit trails, and scoped credentials from the first run. And because they live inside your Harness pipelines, they reason using the Harness Knowledge Graph: your services, deployments, incidents, and policies.

Incident investigations take so long not because the fix is hard, but because finding the right fix is. Most engineers spend 20 to 60 minutes just understanding what’s wrong before they can act, not fixing anything, just trying to see the full picture. The framework that changes this has four steps: Orient, Isolate, Hypothesize, and Verify, and the order matters more than the tools.

Discover how the Ivanti Neurons platform delivers a unified, AI-powered enterprise service management experience — from asset management and incident resolution to governance, risk, and compliance.

When a malicious package is first published, threat intelligence sources haven't flagged it yet – and every team pulling from a public registry is exposed during that entire window. The fix isn't faster scanning; it's a policy that holds new packages for a defined cooldown period before they're eligible to pull. By the time the window closes, the threat intelligence has caught up. Teams pulling direct from npm or PyPI have no equivalent enforcement layer – which is exactly how attacks like Shai-Hulud got in.

Enterprise AI adoption is accelerating, but are organizations actually solving business problems or just adding more tools? In this episode of Agents of IT, Fran Fernandez (Chief Product Officer at Resolve) and Zach Austin (Director of Product Marketing) explore one of the biggest challenges facing enterprise IT in 2026: AI tool sprawl. They discuss why many organizations struggle to demonstrate ROI from AI investments, how disconnected AI assistants create operational complexity, and why orchestration, automation, and context have become the real differentiators for enterprise AI success.