Operations | Monitoring | ITSM | DevOps | Cloud

logz.io

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

Oct 21, 2026 By Amos Etzion In logz.io
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.
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Community Stories: Coroot at the Stanford University Libraries

Oct 21, 2026 By Coroot In Coroot
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!
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honeycomb

Our Limits Are Not Our Imagination

Oct 20, 2026 By Jessica Kerr (Jessitron) In Honeycomb
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.
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last9

Service Mesh Observability: Istio, Linkerd and Envoy Metrics

Oct 20, 2026 By Sejal Pandey In Last9
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.
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coralogix

Comparing Coralogix with open source observability backends

Oct 19, 2026 By Chris Cooney In Coralogix
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.
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VictoriaMetrics

Observability Lessons NVIDIA and CoreWeave

Oct 19, 2026 By PF Pablo Fernandez In VictoriaMetrics
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.
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Modal scales the next generation of AI with unified observability from Datadog

Oct 19, 2026 By Datadog In 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.
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CriblCon 26 Keynote highlights: Cribl StreamAI, App Framework, Marketplace, and Detect

Oct 16, 2026 By Cribl In Cribl
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.
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honeycomb

Everything We Talked About at O11yDay London 2026

Oct 16, 2026 By Ken Rimple In Honeycomb
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.
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VictoriaMetrics

What Is Observability? It's More Than Metrics, Logs, and Traces

Oct 16, 2026 By MS Michelle Sebek In VictoriaMetrics
Modern systems, due to their distributed nature, rarely fail in simple ways. A request might pass through an API gateway, several microservices, a database, a message queue, and a third-party service before a response ever reaches a user. When something slows down or breaks, knowing that something is wrong is only the beginning. You need to figure out.
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grafana

Get observability in your pocket with the Grafana mobile app

Oct 15, 2026 By Ksenia Yadav In Grafana
When you’re on the go, your phone is often the only observability tool you have. And what you can do with it in the first few minutes matters. With the incredible innovation that has gone into mobile CPUs, GPUs and displays, a phone is a powerful device where you can immediately see what’s happening and start acting on it. And the Grafana mobile app now allows you to both see and act.
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logz.io

Best AI Observability Tools of 2026: Monitoring the AI You Build and the AI That Runs Your Ops

Oct 15, 2026 By Kevin Klein In logz.io
TL;DR “AI observability” now describes two different jobs. One is watching the LLM apps and AI agents your team ships: prompts, tool calls, token spend, and output quality. The other is putting AI agents to work on your production telemetry so incidents are already being investigated by the time an engineer logs in. Most engineering orgs in 2026 need both, and very few tools cover the two well.
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speedscale

Observability Never Really Shifted Left

Oct 14, 2026 By Alan Mon In Speedscale
We made software development faster. Now we need to make validation faster, too. For the last decade we have shifted development left. Testing, security, performance, and CI/CD all moved closer to the developer. Observability mostly did not. It still starts after deployment (we covered the incident side of this in Your Observability Stack Found the Fire), which means the people writing the code rarely have meaningful production behavior to observe while they build.
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honeycomb

Honeycomb Adds Another AWS Competency: Resilience Technology

Oct 14, 2026 By Jack Grisanti In Honeycomb
We're excited to share that Honeycomb has achieved yet another Amazon Web Services (AWS) Competency—the Resilience Technology Competency—which recognizes our ability to help customers detect, investigate, and recover from failures in production systems running on AWS. While receiving the competency designation is a fantastic recognition of the capabilities of the Honeycomb platform (we also received one in Financial Services earlier this year), it's ultimately not the point.
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coroot

Putting Amazon ECS on the map

Oct 13, 2026 By Nikolay Sivko In Coroot
Say "ECS" and most people picture serverless containers: no nodes to manage, and nothing underneath you are allowed to touch. For an eBPF-based agent that is a dead end. There is no host to run on, no privileged containers, no kernel to attach to. But ECS is not always serverless. With the EC2 launch type you bring the nodes and ECS brings the scheduler: task definitions, services, rolling deployments, daemons, placement.
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sumologic

The Root Cause Agent: Bring an agentic approach to observability

Oct 13, 2026 By Michelle Beastall In Sumo Logic
For years, engineering teams have faced the same challenge during incidents: the systems generating alerts are becoming more complex, but the investigation that follows is still largely manual. Monitors are good at telling us that something is wrong. The harder question is why. When an alert fires, an engineer still has to work out where to look, which signals matter, what hypothesis to test, and how the evidence across logs and metrics fits together.
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The Business Side of Observability: Ramazan Karadavut on Customer Value and SolarWinds

Oct 13, 2026 By solarwindsinc In SolarWinds
In this episode of SolarWinds World Tour Conversations, we sit down with Ramazan Karadavut, Founder & Senior Architect at Consolit, to discuss his 20-year journey with SolarWinds and the power of end-to-end IT management. We explore real-world enterprise use cases, including monitoring large-scale banking networks across 10,000+ branches, and thousands of ATMs. We will also explore why moving beyond basic alerting into inventory management, change management, and investment reporting is essential for complex environments.
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Aiven

Observability is a data problem

Oct 10, 2026 By Tony Piazza | In Aiven
TL;DR Metrics, logs, and traces each have a different shape, so each needs a different backend. Aiven for Metrics handles metrics and alerting, Aiven for OpenSearch handles keyword search across logs, and Aiven for ClickHouse handles analysis of high-volume, high-cardinality events. All three are upstream open source engines on the same Aiven platform, so you can start with one and add the others as your needs change.
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We Stuck Minecraft on a Kubernetes Cluster and Observed it with Open Source

Oct 8, 2026 By Coroot In Coroot
Why did we do this? Not important: jump to 1:31 to see the Pis. TL;DR: We stuck Minecraft on kubernetes running on 4 Raspberry Pis in a 3D-Printed case, and monitored it with open source observability. Huge thanks to Percona DBA Ivan Zaitsev for putting the demo together for Percona University, Montevideo. Coroot automatically collects and visualizes all your telemetry data: logs, metrics, traces, profiles, and a complete map of your services. With the complete context of eBPF, it can diagnose the exact cause of an incident in seconds, and show you the exact commands to fix it.
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honeycomb

OpenTelemetry Collector Configuration for LLM Observability

Oct 7, 2026 By Mike Goldsmith In Honeycomb
Your LLM application emits telemetry unlike anything else in your stack. Model calls, tool invocations, retrieval steps, and token usage arrive as spans whose attributes carry entire prompts and completions. That data is bulky, it's full of user content you may not be allowed to export, and depending on which instrumentation each service uses, the same fact can arrive under different attribute names.
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coroot

Coroot at KCD Argentina

Oct 7, 2026 By Alexander Lamberton In Coroot
Kubernetes Community Days (KCD) Argentina brought together the vibrant technology communities of Buenos Aires for in-depth technical talks, SRE workshops, and an amazing opportunity to connect with fellow experts in cloud technology. Coroot had a great time participating, and we extend our thanks to all the SREs, DBAs, and DevOps engineers who stopped by the booth to discuss their observability experience.
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interlink

Beyond Traditional Observability: Turning Technical Insight into Operational Intelligence

Oct 6, 2026 By david.arrowsmith In Interlink
Observability has become a central part of modern IT operations and for good reason. Metrics, logs and traces give technical teams detailed evidence about how applications, infrastructure and services are behaving. Such evidence helps them investigate performance degradation, identify abnormal behavior and understand what changed around the time an issue occurred.
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digitate

Observability vs Monitoring: Why Does IT Still Find Out After the Business Does?

Oct 6, 2026 By Digitate In Digitate
✓ operational truth IT finds out late because traditional monitoring is built to detect what goes wrong, not what has quietly stopped happening. Closing that gap requires observability that validates business journeys end to end, detects missing activity, checks its own coverage, and predicts degradation before a threshold is ever crossed.
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honeycomb

How Honeycomb Private Cloud Drinks From the Fire Hose

Oct 5, 2026 By Fred Hebert In Honeycomb
Back in July, I wrote about how the Tenant team (the team behind Honeycomb Private Cloud (HPC)) has embraced the code review bottleneck to focus more of its work. One of the other challenges we have is that we're downstream of almost all the other teams at Honeycomb, meaning that we have to package up everyone's code and services, and how it gets provisioned! This is something impossible to handle through code review since there are so many engineers on other teams, and so few of us.
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VictoriaMetrics

The Year-2 Price Cliff: What Your Observability Stack Really Costs Over 3 Years

Oct 5, 2026 By MS Michelle Sebek In VictoriaMetrics
I’m not the one whose phone lights up at 3 a.m. when production breaks. But I’ve spent years working alongside the engineers who are, and I’ve noticed that observability migrations happen for two reasons. Either engineering needed one, or, far more often, a quote landed that looked too good to refuse. The engineers rarely regret the first kind. The second kind they tell me about in year two, usually with a renewal notice in hand.
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honeycomb

Dr. Cat Hicks on the Psychology of Software Teams

Oct 1, 2026 By Rox Williams In Honeycomb
What happens when a software engineer who has put their entire identity into being the resident expert of an obscure technology or language with ten years of experience and who knows the codebase like the back of their hand now has to compete with AI? Psychologically speaking, according to Dr. Cat Hicks, author of The Psychology of Software Teams and founder of Catharsis, that's called identity threat, and it's a surefire way to feel unsafe. We were honored Dr.
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