Operations | Monitoring | ITSM | DevOps | Cloud

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.

Introducing FlexCore: Private cloud, zero complexity

Join us for a practical introduction to FlexCore, a fully managed private cloud appliance from Civo that delivers the simplicity and experience of public cloud, directly on your own premises. FlexCore brings managed Kubernetes, compute, storage, networking, databases, and GPU acceleration together in a single, self-contained platform, operated end-to-end by Civo. You provide the space and power; Civo handles everything else.

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.

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.

Open standards in 2026: The backbone of modern observability

Open source software and open standards are now an essential part of how organizations maintain their systems. That's not to say they haven't always been important, but the fourth annual Observability Survey, brought to you by Grafana Labs, shows just how deeply the shift to open has taken hold, with 77% of respondents saying open source and open standards are important1 to their observability strategy.

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.

How Catalog changes the game for long-term maintenance

Every incident platform needs to know who owns what. Which team owns which service. Which backlog to send follow-ups to. Which escalation path to page when something breaks. The problem is that most platforms encode this ownership logic separately in every configuration: alert routing, workflows, ITSM ticket syncing, and more. Each one maintains its own copy of the same information, in its own format.