Open Source

In our fourth VictoriaMetrics Tech Talks episode, we wrapped up our deep dive into logs and summarized the key takeaways for effective log management. This installment concluded our log series, featuring Co-founder and CTO Alex who joined to share some exciting news and updates from VictoriaMetrics.

We believe microservices shouldn’t be the default and that companies should start with monoliths until reality actually demands they scale and shift from one node to a cluster of nodes. As a result, we offer clustering on an open source basis because we want to support realistic growth. Read on for details!

In our third episode, we will guide you through efficiently ingesting and optimizing log pipelines with VictoriaLogs. We’ll provide actionable insights on streamlining your logging processes, enhancing performance, and, most importantly, extracting valuable insights from your data to improve your operations, troubleshoot issues, and gain a competitive edge.

Recording rules can transform complex PromQL queries into pre-computed metrics, eliminating repeated calculation overhead. When organized in groups, these alerting and recording rules can be precisely scheduled to run at specific times like 01:30, 02:30, and even execute in parallel for maximum efficiency.

Say hello at booth #N503 for KubeCon Europe 2025 in London, meet our team, and find out about the latest updates on our new VictoriaLogs solution, VictoriaMetrics, anomaly detection capabilities, and more.

The article explains vmselect’s core functionalities: concurrent request processing, query parsing and validation, data fetching and merging from vmstorage nodes, and memory-efficient result caching.

Say hello at booth #313 for SCaLE 22x in Pasadena, meet our team, and find out about the latest updates on our new VictoriaLogs solution, the latest VictoriaMetrics updates and more.

Whether you’re just discovering VictoriaLogs or have been using it for a while, this post will walk you through the recent enhancements and give you a sneak peek at the much anticipated cluster version that’s on the horizon.

When evaluating, instant vectors provide current snapshots, while range vectors give you multiple values over a period of time. But how do they work?

Metrics come in different types: counters that only increase, gauges that fluctuate, histograms that show value distributions, and summaries that pre-calculate statistics.