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The latest News and Information on Observabilty for complex systems and related technologies.

Inside the Coralogix AI Center: Solving AI's Silent Failure Crisis

Observability has always answered one core question: Is it running? But in the era of LLMs, autonomous agents, and AI-powered workflows, that’s no longer enough. We need to ask a harder, scarier question: Is it right? And right now, most teams can’t answer that. Let’s fix it. In our last post, “The AI Monitoring Crisis No One’s Talking About,” we outlined why prompt injection, hallucinations, and context drift create invisible failures.

Getting Started with Grafana Cloud's AI Assistant for Observability

The pace of software delivery in 2025 is unprecedented — cloud-native apps, microservices, and AI-generated code are shipping in days, not months. But one challenge never changes: ensuring reliability and visibility when systems fail. In this video, we explore how the new Grafana AI Assistant brings true, context-aware observability to your stack. Watch as we deploy an open-source Python service with Kafka, Postgres, Kubernetes, and Prometheus then use the AI assistant to instantly generate dashboards, alerts, and reduce un-needed telemetry volume.

REST easy with REST Packs

The countdown to CriblCon 25 is on and we’re giving you an exclusive first look at the expert insights, innovative solutions, and success stories you’ll see on the big stage. REST collector configuration can be painful, requiring navigating to multiple screens and importing multiple configuration files, but it’s about to get a lot easier. Join Cribl experts to preview how easily you can install and build new packs with new enhancements.

Simplify XML log collection and processing with Observability Pipelines

In Microsoft-based environments, Windows event logs capture critical security events like user logins, privilege escalations, and system changes. These logs are vital for compliance and investigations. However, they’re natively formatted in XML, a verbose and deeply nested structure that is hard to search without preprocessing and inefficient to store.

AI in observability at Grafana Labs: Making observability easy and accessible for everyone

Did you know that observability has been around for more than six decades? It all goes back to a Hungarian-American inventor named Rudolf Kálmán who thought about how external outputs could measure the internal state of a machine. Kálmán wrote about monitoring single-input single-output systems, but our demands are very different today. We need to observe monoliths, microservices, clusters, pods, regions, and many more.

Observability trends in Brazil: insights from our localized survey

Organizations in Brazil are eager to adopt some of the latest observability trends and technologies as they look to keep their software running as smoothly as possible, according to analysis of a micro survey recently conducted by Grafana Labs. Observability is an evolving space, and this is the first time Grafana Labs has run a Brazilian version of our annual Observability Survey.

APM vs observability: why your definitions are broken

Recently I was asked to offer my opinions on Application Performance Management (APM) and Observability (o11y) - how they overlap, compete, and conflict. I was just one of several folks who's ideas were solicited, so (understandably) some of my thoughts were left out of the original article. HOWEVER, I'm never one to let good words (or at least a lot of words) go to waste, so I thought I'd pull them together here.

Error Analysis in Honeycomb for Frontend Observability Now in Public Beta

You just shipped your latest frontend release. It passed QA, CI ran, and it looked great in pre-production. But now it’s live and users are hitting an unexpected error: TypeError: undefined is not a function in Chrome. Your error tracking tool flags the exception. You get a stack trace, some breadcrumbs, maybe a session replay.

Introducing Logz.io Open 360 AI: The Next Generation of Observability Is Here

Traditional observability tools can’t keep up with modern complexity. Dashboard and alert-based approaches still rely heavily on manual processes, resulting in longer troubleshooting cycles, slower decisions, and higher MTTR. Engineering teams need something better. Today we’re launching Open 360 AI, the first observability platform designed for both humans and AI agents working together.