Operations | Monitoring | ITSM | DevOps | Cloud

upsun

Scalable AI governance: why your policy needs a platform, not just a PDF

Feb 4, 2026 By Upsun In Upsun
Most IT teams don’t lack AI policies. They lack policies that survive a Git push. In many organizations, AI governance is a paper tiger. There are comprehensive documents outlining data usage, approved models, and risk management. On an auditor's desk, these policies look complete. But inside the workflow, the reality is different. AI tools are being embedded directly into IDEs, CI pipelines, and internal automation scripts.
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upsun

What mid-market IT teams wish they knew before deploying AI agents

Feb 4, 2026 By Upsun In Upsun
AI agents are quickly shifting from experimentation into day-to-day operations. That shift is showing up in the data. McKinsey’s latest State of AI research highlights both broader AI use and the growing focus on “agentic AI,” even as many organizations still struggle to scale safely. For mid-market IT teams, agents can feel like the unlock: automate repetitive workflows, reduce backlog pressure, and deliver more output without expanding headcount.
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datadog

Protect agentic AI applications with Datadog AI Guard

Feb 3, 2026 By Océane Bordeau In Datadog
Organizations are increasingly using agentic AI applications powered by large language models (LLMs) to automate analysis, decision-making, and operational workflows. As these AI agents take on more responsibility, they gain access to internal tools and services and can interact with them in unintended ways.
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logz.io

Tool Consolidation Is Dead. Long Live Agentic AI.

Feb 3, 2026 By Asaf Yigal In logz.io
It’s 2026, and developers have more tools at their disposal than at any point in the industry’s history: CI/CD platforms are richer; observability stacks are deeper; security, data, and AI tooling have exploded into crowded, competitive ecosystems. And yet, delivery is still slow, incidents are still noisy, workflows are still brittle. The problem is no longer tool scarcity or feature depth. It’s integration debt.
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cortex

8 themes shaping engineering in the age of AI

Feb 3, 2026 By Ganesh Datta In Cortex
We know that AI has been transformational for engineering and it will continue to be, so stop me if this sounds familiar. Imagine an engineering lead opening a pull request for a critical security patch and finding five hundred lines of AI-generated code. While the solution is (mostly) usable, it follows a pattern no one on the team recognizes. This shift away from manually writing every line of logic has introduced a unique level of complexity for teams.
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ScienceLogic

You Need an Advisor. Not an AI Assistant.

Feb 3, 2026 By ScienceLogic In ScienceLogic
Complex environments don’t fail because teams lack data. They fail when teams can’t trust what the data is telling them. There are too many signals, too little time, and too much risk riding on every decision. That’s the reality Skylar Advisor is built for: delivering guidance teams can verify, so they can act faster without gambling on opaque, black-box answers.
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Are We Letting AI Think for Us? | SolarWinds TechPod #105

Feb 3, 2026 By solarwindsinc In SolarWinds
We’re more dependent on technology than ever—and AI is changing how we make decisions. But what happens when the systems fail? Or when bad actors decide to “pull the plug”? This clip dives into a scary but necessary question: Are we losing our ability to critically think and problem-solve by relying too much on AI? Is AI leveling the playing field—or quietly taking over human decision-making? A must-watch conversation about innovation, outages, AI risk, and why having a backup plan matters more than ever.
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grafana

Grafana Assistant: Why you can trust our agent-and yourself-in an era of AI hallucinations

Feb 3, 2026 By Amelie Sutsakhan In Grafana
Let’s be real: AI can hallucinate. And in observability, that feels risky. No one wants an assistant that sends your SREs chasing ghosts. At best, that burns expensive engineering time. At worst, it slows incident response in production and pushes teams toward the wrong remediation path. So here’s the big question: What makes Grafana Assistant different, and why should you trust it? Let’s start by acknowledging the fear. AI hallucinations are a real issue.
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