Monitoring

This article walks through how data flows from collection to storage, explaining how vmstorage processes incoming metrics, assigns unique IDs to time series, and organizes everything into different types of storage parts. The whole system is pretty clever - it uses in-memory buffers for speed, smart compression to save space, and has various watchdogs keeping an eye on things like disk space and data retention.

VictoriaMetrics agent, or vmagent, is a lightweight tool designed to gather metrics from a number of different sources. Once it pulls in all those metrics, vmagent lets you ‘design’ them (through ‘relabeling’) or filter them down (doing things like reducing cardinality, stream aggregation, deduplication, and so on) before shipping them off to wherever you want to store them.

We’re delighted to announce the GA release of our innovative logging solution: VictoriaLogs. It’s perfect for managing and analyzing large volumes of log data, especially in containerised environments such as Kubernetes.

Explore the latest improvements in VictoriaMetrics Anomaly Detection (vmanomaly), including optimizations, online models, multitenantcy and mTLS support.

Come say hello at booth R17 for KubeCon 2024 in Salt Lake City, meet our team, and find out about the latest updates on our new VictoriaLogs solution, VictoriaMetrics Enterprise, anomaly detection capabilities, and more

Learn how to monitor Azure AKS and Azure Linux with VictoriaMetrics. This blog post covers the setup process for environments with high security requirements and how to monitor them with VictoriaMetrics.

Time series databases are essential tools in any software engineer’s toolbelt. Their development has been shaped by user needs and countless open source contributors, leading to the healthy ecosystem of options we see today. In this article, you’ll see how time series databases came about, and why so many are open source.

My VictoriaMetrics cluster has a very high churn rate at 0:00 every day. However, when I enable -logNewSeries, I find that these ’new’ time series were actually seen before. Why is this happening?

We’re happy to announce VictoriaMetrics Cloud, a hosted monitoring platform and managed service for metrics that allows organizations to monitor and store large amounts of time-series data, without having to run the underlying infrastructure.

I have already recorded metrics in the application, why can’t I see my metrics on Grafana?