Many thanks to everyone who joined us for our recent virtual meetup, during which we discussed some of our Q2 2024 highlights, including features highlights, the 2024 roadmap for VictoriaMetrics and all the latest news on VictoriaLogs! In this blog post, we’d like to share a summary of these highlights.

This Post was updated in June of 2024 to remove the requirement to install VMAgent on each Proxmox VE node, and update the screenshots to reflect updates in Managed VictoriaMetrics and Grafana.

Monitoring, in the context of software, is a catch-all term for visibility into infrastructure, or an application. It can encompass metrics, logs, traces, and any other telemetry data that provides information on a running application, server, or another device. Monitoring helps you catch problems before your customers do and speeds up the time to resolution for any problems that do slip through. Managed monitoring is where another company runs part or all of your monitoring system.

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.

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.