Operations | Monitoring | ITSM | DevOps | Cloud

Integrate your AI agent with Honeycomb, and it can run queries to find problems, then get right into the code to fix it.

Right from your IDE, find out how long your code talked to execute in production. If your AI agent speaks Model Context Protocol, it can query Honeycomb for you!

Last Thursday, our /api/cart endpoint got a lot slower. But we didn't notice, because we hadn't set up a Service Level Objective to guard its reliability and responsiveness. This video shows how to identify and create that SLO in Honeycomb.io.

In this Campfire community call, we will talk about the new and the future of AI in the field of Observability space and also discuss about the Grafana MCP server to provide access to your Grafana instance and the surrounding ecosystem. Join me (Usman), Matt Ryer, Carl Bergquist, David Kaltschmidt for this exciting session. Special guests: Sarah Zinger, Cyril Tovena and Ben Sully.

In this video, we break down Core Web Vitals in Grafana Cloud’s Frontend Observability and Grafana Faro.

Join us for a dynamic panel from Observability Sessions Boston where leaders from CarGurus, Nearform, and Grafana Labs share their real-world experiences with observability. In this candid discussion, David Frankel (CarGurus) and Joe Szodfridt (Nearform) delve into the challenges of implementing scalable observability practices, moving from centralized models to federated teams, and navigating cloud migration with a focus on performance and cost.

In this candid and insightful talk from Observability Sessions Boston, Laban Eilers, a platform engineer at SimpliSafe, takes us on a practical deep dive into the evolution of observability—from the traditional “three pillars” model to the emerging promise of Observability 2.0.

Take a first look at MetricFire’s brand-new logging tool — designed to simplify log ingestion, storage, and visualization using open-source components like Loki, Python, Telegraf and Grok. Collect logs, search across services, and correlate them with your metrics — all inside your existing Hosted Graphite environment. Whether you're an SRE, DevOps engineer, or running logs on a budget, this sneak peek reveals how MetricFire is evolving toward full observability.

Now with support for sources and destinations, Cribl Packs make it simple to build and share containerized telemetry pipelines across your environments.

A dynamic discussion with Grafana experts and local observability leaders sharing successes, setbacks, and next steps in their observability journeys.

When your software integrates with Generative AI, you need great observability. You need to see everything about the interaction with the LLM. You also need to see everything around it! That's application observability, with distributed tracing.

Charity Majors, CTO and Co-founder at Honeycomb, and Phillip Carter, Principal Product Manager at Honeycomb, recently hosted a webinar with DORA's Nathen Harvey on AI's unrealized potential. As part of this, we created a 3-minute highlight reel of the webinar that you can watch.

In the evolving landscape of DevOps, observability is no longer optional—it’s a fundamental pillar of success. During this session, Gunter from Datev explores the critical mindset shift required to make observability an integral part of DevOps practices.

Not all telemetry is created equal. Curate the data you save in Honeycomb using Honeycomb Telemetry Pipeline Manager. Then restore them later if you change your mind!

In this Grafana Office Hours, we talk about the state of observability databases (Grafana Loki, Mimir, Tempo, and Pyroscope) and where they're going. We talk about current and upcoming architectural changes in all four, how we're making them more performant, how compatible they are with OpenTelemetry, and what we're working on next for each database. In this conversation are Dee Kitchen (VP of Engineering for Databases) and Senior Developer Advocates Jay Clifford and Nicole van der Hoeven.

Most teams have strong monitoring for production, but what about the journey before your code gets deployed? The CI/CD pipeline is where bottlenecks, flaky tests, and process gaps silently waste your team’s time. Until now, this part of the workflow has mostly been a black box. We’re excited to announce CI/CD Observability in SigNoz - a new way to track, analyze, and improve your software delivery process, powered by OpenTelemetry.

How can we send less data without losing information? Sampling removes duplication among distributed traces, while keeping all the interesting ones. See how this works with Honeycomb and Refinery.

Previously, teams had to choose between adopting the OpenTelemetry Collector’s capabilities and fully leveraging our advanced features. On This Month in Datadog, we’re spotlighting our OTel Collector distribution, which unifies OTel and Datadog. Check out the link in our bio to watch the new episode.

In this video, we'll explore practical ways to utilize the AI Assistant in Splunk Observability Cloud. Through real-world scenarios, learn how the AI Assistant can help you interpret metrics, contextualize data, onboard new team members to your organization, and automate tasks via the Splunk Observability Cloud API. AI Assistant in Splunk Observability Cloud enhances observability by providing actionable insights and streamlining workflows.

We built deep Temporal observability in SigNoz.

In this video, we’ll provide practical, real-time examples demonstrating how to effectively use the AI Assistant in Splunk Observability Cloud. You'll learn how the AI Assistant can quickly identify unknown issues in your environment, perform detailed root cause analysis, analyze service performance and deployment impacts, and even help manage infrastructure costs and compliance. TOC.

Cribl Edge is a vendor-neutral, intelligent agent designed for the variety and scale of today’s modern architectures. With a unified telemetry collection system, you can have hundreds of thousands of agents at your fingertips to automatically discover and collect data from your Windows, Linux, and Kubernetes environments. Featuring a rich UI, centralized fleet management, and seamless upgrades, it’s time to transform your agent management.