Operations | Monitoring | ITSM | DevOps | Cloud

AI in observability in 2026: Huge potential, lingering concerns

The role of AI in observability is evolving rapidly, but the data from our fourth annual Observability Survey makes one thing abundantly clear: the potential is real, and so are the reservations. Practitioners overwhelmingly see value in using AI to help surface anomalies, forecast and spot trends, assist with root cause analysis, and get new users up to speed quicker.

Komodor Introduces Extensible, Autonomous Multi-Agent Architecture for AI-Driven Site Reliability Engineering

Out-of-the-box and bring-your-own AI agents that encode operational knowledge boost troubleshooting speed and accuracy across cloud native infrastructure TEL AVIV and SAN FRANCISCO, March 18, 2026 — Komodor, the autonomous AI SRE company for cloud-native infrastructure, today announced a new extensibility framework that transforms its Klaudia AI technology into a universal multi-agent platform for troubleshooting and optimizing performance of complex cloud native infrastructures and applications.

How A Finance Director Found $30K/Month In AI Savings In 10 Minutes

A real workflow showing how Claude + CloudZero MCP turns plain-English questions into actionable cost intelligence — no dashboards, no tickets, no waiting As Director of Finance and Accounting at a software company, my job can be described simply: Understand what we’re spending, who’s responsible, and whether we can get more efficient. But as anyone who’s had to wrangle AI costs knows, doing so for AI is anything but simple.

Engineers Want AI in Observability - With One Catch: 4th Annual Observability Survey by Grafana Labs

Actually useful AI is welcome in observability. AI for the sake of AI is not. In this overview of Grafana Labs’ 4th annual Observability Survey, Marc Chipouras shares what 1,300+ respondents from 76 countries told us about the current state of observability — and what comes next. This year’s survey explores four major themes: The results show strong interest in AI for forecasting, root cause analysis, onboarding, and generating dashboards, alerts, and queries. But when it comes to autonomous action, practitioners are more cautious — and 95% say AI needs to show its work to earn trust.

Flow State in an AI Workplace - Digital Friction 1:1 with Mike Lovewell

Tom welcomes Mike Lovewell to explore how digital friction continues to shape the modern workplace. From early days of low awareness to today’s complex, AI-influenced environments, Mike shares how friction has evolved in scale rather than cause. They discuss the growing importance of flow state, the measurable business impact of small disruptions, and why adoption—not just technology—is the key to success. AI emerges as both a solution and a new source of friction, depending on trust and usability.

How Local-First AI Agents Are Reshaping IT Operations Automation

IT operations teams have spent the last decade embracing automation - from auto-scaling rules and CI/CD pipelines to AIOps platforms that correlate alerts across sprawling infrastructure. Yet a fundamental tension remains unresolved: the most powerful AI automation tools require you to route sensitive operational data through external cloud services you do not control.

My Room Still Looked Wrong - Until I Tried an AI Home Design Generator

I didn't expect much when I first tried an AI Home Design Generator and an AI Image to Image Generator. At that point, I wasn't trying to redesign anything seriously. I just knew my room looked... off. Not terrible, just never quite right. Every time I took a photo, something felt wrong - the layout, the lighting, maybe both.

Event Intelligence for Agentic IT Operations

Modern IT teams are experimenting with AI agents. But individual agents, working in isolation are not enough. To truly achieve Agentic IT Operations, organisations need a platform — one that coordinates, governs, and contextualises AI-driven actions across the entire IT landscape. That’s where Interlink Software comes in.

AI Merge Conflict Resolution + Commit Messages in GitKraken Desktop

AI-assisted merge conflict resolution is changing how developers handle Git workflows. Watch GitKraken Ambassador Kevin Bost demonstrate AI-powered features that eliminate merge conflict dread, clean up messy commit history, and generate contextual commit messages in seconds.