Operations | Monitoring | ITSM | DevOps | Cloud

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

Community Stories: Coroot at the Stanford University Libraries

Coroot was designed to solve the problem of time-consuming root cause analysis. It handles the full observability journey - from collecting telemetry automatically with zero code setup (thanks, eBPF!) to simplifying the role of SREs and DevOps everywhere with instant root cause analysis powered by AI. We also strongly believe that simple observability should be an innovation everyone can afford to benefit from: which is why our software is open source!

Introducing AI Observability: Trace Every AI Agent Request from Prompt to Pod

TL;DR Logz.io AI Observability provides end-to-end tracing for AI agents and LLM applications. Built on OpenTelemetry, it lets you trace every request from prompt to backend service, visualize multi-step agent execution, isolate root causes across models and infrastructure, and track token usage per step, all alongside your existing logs, metrics, and traces.

Our Limits Are Not Our Imagination

Yesterday, my partner told me about his new automated pipeline from a conversation recording to publication of a whole podcast, with social media blurbs and graphics and everything. It did more than he'd predicted the agent could do. "We are limited by what we can imagine," he said. Cheesy, but it kinda gave me goosebumps because it's (almost) true. Most of the experienced developers I know are concerned.

Service Mesh Observability: Istio, Linkerd and Envoy Metrics

Service mesh observability guide: the metrics Istio, Linkerd and Envoy proxies emit, what ambient mode changes, and why tracing still needs app changes. Sejal Pandey works on content and growth at Last9, writing about observability, reliability, and SRE practices.

Observability Lessons NVIDIA and CoreWeave

The best thing that can happen to an open-source project is to find its way into some of the world’s largest technology companies. In September 2026, this happened twice in one week: VictoriaMetrics is now officially bundled in the self-managed edition of NVIDIA’s Cloud Functions, and I learned that CoreWeave is using VictoriaMetrics as the metrics backend for all of its infrastructure customers. Both companies adopted VictoriaMetrics independently.

Modal scales the next generation of AI with unified observability from Datadog

Modal is an AI infrastructure company rebuilding the cloud for AI, giving developers easy access to the compute needed to build and scale AI applications without managing the underlying complexity. Operating across more than 20 cloud providers and launching approximately 26 million containers daily, Modal relies on Datadog to unify observability across its infrastructure, applications, networking, and CI—helping its engineers detect 99% of incidents within five minutes, resolve 96% of issues before customer impact, and confidently scale one of the world’s most complex AI platforms.

Comparing Coralogix with open source observability backends

We put the same OpenTelemetry data into four backends, Coralogix, ClickHouse, OpenSearch and a Loki, Tempo and Prometheus stack, then set an agent twelve questions against each one, from counting spans to working out what is wrong in a system it has never seen. Then we forced the agents to continue investigating until they got to the right answer. In this experiment, what separated them was the time, tokens, tool calls and turns it took to get there.

CriblCon 26 Keynote highlights: Cribl StreamAI, App Framework, Marketplace, and Detect

This CriblCon 26 keynote highlight reel introduces Cribl’s AI platform for telemetry and highlights Cribl StreamAI, the Cribl App Framework, Cribl Marketplace, and Cribl Detect. It is relevant to IT, security, and observability teams exploring intelligent model routing, agentic app development, marketplace deployment, and security investigations using telemetry and context. The keynote also covers the SEC IT benchmark, the cost of investigating incidents with different AI models, and included inference for Cribl-native workloads.

Everything We Talked About at O11yDay London 2026

We just wrapped O11yDay London, and one theme ran through every session: writing code is no longer the hard part. Review queues, attention, operating agents in production, runaway token bills, and proving any of it is worth the money are where teams are getting stuck. The teams making progress are the ones who can see what's happening in production. Here are some highlights. We'll have videos available in the near future.