Operations | Monitoring | ITSM | DevOps | Cloud

In this Pyroscope community call, we look at what eBPF is, where it came from, and how the OpenTelemetry eBPF profiler uses it to profile supported workloads without application code changes.

We use Sentry's new Regex search for Logs to hunt for non-obvious bugs in our app. What do you do when traces show that Postgres jobs are backing up? Logs are trace-connected, so by looking at one of the affected traces, we can see all of the logs on that trace. In there, we can see Postgres has logged that it acquired a lock only after a long wait. Using regex, we can find all of these logs that describe acquiring a lock after a 10-second-plus wait. That narrows our search from thousands or hundreds of logs down to about a dozen.

Join Serge for an introduction to tracing and how it applies to AI agents. Through live walkthroughs, you’ll see how to follow an agent’s execution, inspect model and tool calls, and find where things went wrong. No prior tracing experience is needed.

We turned the mic around for this episode, with Zoe Hawkins interviewing Adam White and Jake Lee about Sumo Logic’s redesigned free trial. The new 14-day sandbox comes preloaded with realistic data feeds, Cloud SIEM, and our AI agents, so no one has to build collectors or open tickets before finding out whether the platform fits. Adam and Jake walk through the guided “choose your own adventure” paths, the broad, open-ended questions that bring out the best in Mobot, and how the trial will keep pace with new releases.

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.

How close are IT teams to total observability? See how SquaredUp uses AI to build plugins and dashboards, spot anomalies, connect data across tools, and set up monitoring from a single prompt.

Onboarding a new client shouldn't mean rebuilding the same dashboards by hand. Live demos show how our MCP server (in preview) hands that work to AI, built for MSPs, but relevant to any team automating dashboards and reporting.

In this video, Dev Advocate Cole Bowden walks you through where traditional data historians fail, and why a dedicated time series database like InfluxDB can streamline your operations. With an AI-powered demo showcasing an automative plant's data, you'll see the value of InfluxDB and where it can power insights that Data Historians can't handle on their own.

There are times when you have a panel which does not show any data because there is none and it might be a good idea to hide it until it start showing. Learn how to do this in Grafana.

This video walks through what it looks like to treat Sentry's Seer agent the way you already treat a chatbot, asking it plain language questions about your own production application. From Slack or inside your Sentry account, Seer Agent can answer questions with real context: the affected spans, the recent release, the likely cause. Seer doesn't stop at answering questions. Ask it to act on what it just told you and it completes that work inside Sentry, serving as an assistant to your projects, team workflows, and your future self.

AI investigation for IT operations finds the likely root cause of an incident and shows the evidence behind it. This video covers how deep AI investigation works for ITOps, SRE, and platform engineering teams using LogicMonitor's Edwin AI. Engineers lose time stitching together alerts, logs, and recent changes after an alert fires. Deep AI investigation hands that first pass to AI agents, so your team starts closer to the fix. Edwin AI, LogicMonitor's AI agent for ITOps, correlates alerts, identifies root causes, and recommends remediation.

Welcome to HotFix, the show where Sentry customers return the favor. We helped Exa fix their code. Now, it's their turn to fix our organization.

5 things you can do with the new Coralogix APM, no alerts to write and no database agent to install.

Do you know how much of your AI agent spend goes to repos your company doesn't even manage? Olly makes it one question away.

Thousands of agent sessions last month. But what did they actually ship? Vendor consoles show you tokens, Coralogix shows you impact, repo by repo, session by session. No vendor lock-in, no data limits.

Your agent breaks in production. You fix it and move on. But the input that actually broke it is gone and two months later the same failure quietly comes back, because there was never anything to test against. That's not a debugging problem. It's a missing dataset. This demo turns low-scoring production traces into a regression suite you can run against every prompt and model change, without writing a single test case by hand.

Most teams keep an agent from regressing by hardcoding checks into its logic, an if-statement here, a regex there. Every new rule then becomes a code change, a review, and a deploy, and the person who spots the problem in production is rarely the person who can ship the fix. Agent Control moves those rules out of the code and into one hub. Steer, block, and validate agent behavior in real time, with rules any team member can update without touching the codebase.

Every engineering team has unit tests. They tell you the code still works. They tell you nothing about what the model started saying. This demo wires a single eval gate script into a git pre-push hook, so Splunk Agent Observability scores every agent's output before the push is allowed through. Luna, an on-premise small language model, runs as a synchronous judge against fixed thresholds. Fail one, and the push is blocked.

Honeycomb AI Ecosystem shows you the performance and cost of every AI agent in one live view and drills straight to the conversation behind any number, so you can diagnose your whole fleet in minutes without switching tools or rebuilding a single query.

As we get into the full swing of prime Aurora viewing season, hear how this Golden Grot Award-winning project by Mohamed Adem uses free, public data and Grafana Assistant to explore whether an aurora will actually be visible.

Agentic AI is transforming the enterprise, but its success hinges on one critical factor: trust. Without robust governance, auditability, and a unified data foundation, scaling AI safely remains out of reach.

Yext uses synthetic monitoring to prove and meet SLAs, by tying Checkly checks directly to SLOs and user-facing SLIs. Stefan (Developer Relations), Braxton (Solutions), and Shikhar (Engineering Productivity at Yext) cover the SLA/SLO/SLI basics, the math behind "all these nines", and how Yext turns those targets into concrete checks with monitoring as code.

If Sklyar One is your canvas, then Skylar One Studio is where you develop your art. In this session, we’ll dive into the latest tools that allow you to quickly and easily build new PowerPacks. You’ll learn how to build beautiful PowerPacks, without having deep Python knowledge, which work quickly, have great performance, are secure, and easy to support; all thanks to the extensibility of ScienceLogic tools using the latest and greatest innovations in content development. Your next masterpiece is at your fingertips!

In this clip, Virtana Chief Product Officer, Amit Rathi explains why more data does not automatically lead to better operations. As system complexity grows, organizations are collecting more telemetry than ever while struggling to turn it into actionable insights. At the same time, rising observability costs are forcing some teams to monitor only part of their environments. Watch the video to learn why intelligence, not just visibility, is becoming essential for modern IT operations.

A walkthrough of monitoring a distributed fleet with Netdata, using a simulated fleet of about 1,000 devices spread across regions. We show how the whole fleet reports into a single view: per-second metrics from every node, grouping by region and by customer, a map view that colors each device by health, filtering and saved views for different teams, and an AI-assisted investigation that scans the fleet for anomalies and points to likely causes.

Netdata now supports distributed tracing. In this webinar, we'll demo the new tracing capabilities for the first time: OpenTelemetry trace ingestion, the new tracing dashboard, and the UI built to let you move from a metric anomaly to the exact span that caused it. For years, teams have asked us to close the gap between infrastructure monitoring and application performance. This release does that. Netdata can now ingest traces via OTEL, correlate them with the metrics and logs you already collect, and surface them in a purpose-built interface designed for speed and clarity.

The Grafana Mobile App lets you triage alerts with help from Assistant from your phone. You can declare an incident or trigger an investigation into an incident in order to get more information so that by the time you get to your desktop, everything is ready for you. Grafanistas Ignacio and Florian go through a use case deep dive, demonstrating the value of the Grafana Mobile Companion app by triggering an investigation, talk to Assistant, and have all the data you need to resolve an incident - all from your phone.

Watch a 2-minute demo video of Honeycomb Anomaly Detection, part of the Honeycomb Intelligence suite.

With the plan mode you can get a preview what kind of panels you want to have in your dashboard that safe a lot of tokens, efforts and computing resources when using Grafana Assistant AI.