Monitoring

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

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?

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

Explore the latest improvements in VictoriaMetrics Anomaly Detection (vmanomaly), including presets, new models, enhanced tuning, and better resource management

Monitoring Proxmox hypervisor via VictoriaMetrics and Proxmox’s built-in metric server

Learn about the different types of managed monitoring services available on the market, and why you might consider picking one of them to manage your monitoring infrastructure.

We compared the performance and resource usage of Grafana Agent, Prometheus Agent Mode, and VictoriaMetrics vmagent to help readers make informed decisions when choosing an agent for their monitoring needs.

This blog post series centers on Anomaly Detection (AD) and Root Cause Analysis (RCA) within time-series data. In Chapter 3, we delve into a variety of advanced anomaly detection techniques, encompassing supervised, semi-supervised, and unsupervised approaches, each tailored to different data scenarios and challenges in time-series analysis.