Operations | Monitoring | ITSM | DevOps | Cloud

Ever feel like getting simple data from your network is way harder than it should be? You're not alone. With so many devices, the amount of data can be overwhelming, making it tough to see what's actually happening. In this stream, we're breaking down the common frustrations with network monitoring. We'll cover: The SNMP Problem: We'll start with why the "standard" method, SNMP, is often a pain. We'll look at the challenge of finding the right MIBs and OIDs just to get tools like Telegraf or Prometheus to work.

When it comes down to scaling time series monitoring solutions things can get messy. That’s one of the reasons why VictoriaMetrics, a Silver member of the Cloud Native Computing Foundation (CNCF), started its journey some years ago. It is a simple, reliable and efficient set of Observability Solutions that's been adopted by many organizations. It's open source, with a strong community behind it, with enterprise and managed (Cloud) options for those who need support. VictoriaMetrics plays well with many standards, including Grafana and OpenTelemetry. Apart from that, in case you didn’t know, VictoriaLogs is the new kid in the block that's seriously outperforming other solutions. In this presentation, we’ll present the VictoriaMetrics Open Source projects and how they differ from other solutions, especially when it comes to scaling from single small setups to massive cluster deployments. Come learn how VictoriaMetrics projects can help to ease Observability!

Logging at scale is a common source of infrastructure expenses and frustration. While logging is something any organization does, there is still no silver bullet or just a simple and scalable solution without tradeoffs.

Ready to master anomaly detection? Join us for Part 2 of our "Applying AI/ML in Observability" series, where we do a deep dive into vmanomaly! In this live stream, Mathis and Marc will be joined by a very special guest: Fred Navruzov, the lead developer and mastermind behind VictoriaMetrics' vmanomaly. If you want to move beyond the basics and unlock the full potential of AI-driven observability, this is a session you can't afford to miss.

This talk will examine the application of Artificial Intelligence and Machine Learning in observability. It will cover how AI/ML is being used to monitor systems, detect anomalies, and extract insights from telemetry data. The session will provide information on integrating AI/ML into observability pipelines, improving analytical capabilities, and system performance.