Operations | Monitoring | ITSM | DevOps | Cloud

Today we're introducing Alert Grouping, a powerful new feature that intelligently manages notifications when multiple monitors experience issues. This feature helps prevent alert fatigue by grouping related incidents within configurable time windows.

Endre Sara is a Co-Founder of Causely, where he’s building a causal reasoning platform to continuously assure service reliability and eliminate human troubleshooting. Previously, Endre was VP of Advanced Engineering at Turbonomic and a VP at Goldman Sachs. At Causely, we believe observability tools shouldn’t just collect more data—they should enable you to understand it.

In modern IT environments, data is abundant, but clarity is rare. Enterprises deploy dozens of monitoring tools to collect metrics, events, and logs from across the network, yet when something goes wrong, teams still scramble to connect the dots. Why? Because these data streams exist in siloes, isolated by format, source, or system.

Time flies, and just like that, we are already in April! The first quarter of 2025 has been packed with exciting updates for VictoriaMetrics Cloud. If you joined our latest Quarterly Virtual Meetup, you might have already seen some of these announcements alongside other great improvements across all things VictoriaMetrics. In this post, we’ll take a closer look at what’s new in VictoriaMetrics Cloud.

Prometheus Monitoring: Instant Queries and Range Queries Explained This discussion is part of the basic monitoring series, an effort to clarify monitoring concepts for both beginners and experienced users.

You’re staring at logs, trying to figure out what caused that odd error in the middle of the night. Or maybe you're following a chain of requests across services, hoping to understand how one user action triggered a series of unexpected behaviors. That’s where distributed tracing and request tracking—specifically, correlation IDs and trace IDs—are invaluable. It’s the kind of detail that can make debugging faster and less painful.

Modern systems throw off a lot of data—metrics, traces, logs—sometimes more than we know what to do with. When you're trying to understand how values spread out over time (like response times, memory usage, or queue lengths), averages alone don’t tell the full story. OpenTelemetry histograms help fill in those gaps. This guide walks through what they are, why they matter, and how DevOps engineers can use them to improve observability in real systems.

We’ve rolled out a small update to the StatusGator iframe embed feature! Now, when you embed your status page on your website or app, it can include a link to your full StatusGator status page — giving your users a simple way to view detailed information about outages. And there’s more: If you’ve uploaded a favicon in your Status page settings, it will now appear next to the link in the iframe.

At least once a week, a team reaches out to discuss migrating from an established SIEM or analysis platform. This major decision is influenced by several compelling factors, which can create significant work for engineering teams and pose risks to the business. The cost of switching to a new platform, often referred to as displacement costs, can be substantial.

The information age has leapt forward with the explosive rise of generative AI. Capabilities like natural language processing, image generation, and code automation are now mainstream — driving the business goals of winning customers, enhancing productivity, and reducing costs across every sector. New large language models are emerging almost daily, existing language models are optimized in a frantic race to the top. There seems no stopping the AI boom.