Operations | Monitoring | ITSM | DevOps | Cloud

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.

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.

Curious as to what is new with VictoriaMetrics Cloud? In this video Jose covers: 1- Access Tokens - tenancy improvements 2- MCP Server integration 3- Direct code integration. New API lib 4- Lots of new integrations out of the box Resources for Further Learning.

Alex Marshalov explores the new VictoriaMetrics MCP Server. He moves beyond the hype to show what's truly possible today. The presentation offers a builder's perspective on integrating AI with time-series data, featuring a demo that showcases both the potential and the current realities (yes, there are some). See how we're thinking about solving complex monitoring challenges with AI. Resources for Further Learning.