We’re happy to share customer research today demonstrating that VictoriaMetrics is the world’s most cost-efficient monitoring solution! The real-world results show customers can save energy costs and achieve Net Zero carbon compliance faster with VictoriaMetrics in their tech stack.

The ilert team have been working on an integration of VictoriaMetrics as part of their offering, and we’re happy to share this news today via this joint blog post. Please read on to learn more about ilert and how this new integration of VictoriaMetrics can help enhance your monitoring.

Monitoring and observability are critical components of modern IT infrastructures, enabling organizations to gain insights into the performance, health, and security of their systems. Agents play a crucial role in gathering and forwarding telemetry from various sources to observability platforms.

Today we’re happy to announce our new VictoriaMetrics Anomaly Detection solution, which harnesses machine learning to make database alerts more relevant, accurate and actionable for enterprise customers. VictoriaMetrics Anomaly Detection lightens the load on overworked data engineers, focusing their scarce resources on the alerts that matter most to their organization.

Monitoring can get expensive due to the huge quantities of data that need to be processed. In this blog post, you’ll learn the best ways to store and process monitoring metrics to reduce your costs, and how VictoriaMetrics can help. This blog post will only cover open-source solutions. VictoriaMetrics is proudly open source. You’ll get the most out of this blog post if you are familiar with Prometheus, Thanos, Mimir or VictoriaMetrics.

Internally, VictoriaMetrics makes heavy use of sync.Pool, a data structure built into Go’s standard library. sync.Pool is intended to store temporary, fungible objects for reuse to relieve pressure on the garbage collector. If you are familiar with free lists, you can think of sync.Pool as a data structure that allows you to implement them in a thread-safe way.

We’re happy to announce that we now offer a free trial of our VictoriaMetrics Enterprise solution! Designed to help solve an organisation’s monitoring and observability set ups, no matter the scale, VictoriaMetrics Enterprise provides reliable, secure and cost-efficient monitoring. The free trial of VictoriaMetrics Enterprise is perfect for organisations with large data loads, for whom cost-efficient monitoring is mission-critical.

Welcome to the third chapter of the handbook on Anomaly Detection for Time Series Data! This series of blog posts aims to provide an in-depth look into the fundamentals of anomaly detection and root cause analysis. It will also address the challenges posed by the time-series characteristics of the data and demystify technical jargon by breaking it down into easily understandable language.