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VictoriaMetrics 2026 Mid Year Roundup
Take a look at what we shipped in the first half of 2026 across VictoriaMetrics: metrics, logs, traces, and cloud,with improvements in performance, scalability, and usability.
The VictoriaMetrics Observability Blog
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- Alexander Marshalov
- Aliaksandr Valialkin
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Performance optimization techniques in time series databases: Limiting concurrency
This blog post is a third in the series of the blog posts based on the talk about ‘Performance optimizations in Go’, GopherCon 2023. It is dedicated to various optimization techniques used in VictoriaMetrics for improving performance and resource usage.
Performance optimization techniques in time series databases: function caching
This blog post is a second in the series of the blog posts based on the talk about ‘Performance optimizations in Go’, GopherCon 2023. It is dedicated to various optimization techniques used in VictoriaMetrics for improving performance and resource usage.
Performance optimization techniques in time series databases: strings interning
This blog post is a first in the series of the blog posts based on the talk about ‘Performance optimizations in Go’, GopherCon 2023. It is dedicated to various optimization techniques used in VictoriaMetrics for improving performance and resource usage.
Momentum: Announcing 268 Million Downloads & 320% Growth in 2023
Read this momentum release to learn more about VictoriaMetrics achieving 320% growth in 2023 & hitting 268 million downloads of our open source time series database and monitoring solution.
Anomaly Detection for Time Series Data: Anomaly Types
This blog post series centers on Anomaly Detection (AD) and Root Cause Analysis (RCA) within time-series data. In this second part, we explore the distinct anomaly types inherent to time-series and offer insights on how to tackle them effectively.
Anomaly Detection for Time Series Data: An Introduction
This blog post series focuses on Anomaly Detection (AD) and Root Cause Analysis (RCA) within the context of time-series data. The inaugural chapter lays the groundwork by introducing the role of AD in end-to-end observability systems, discussing domain-specific terminology, and addressing the challenges inherent to the time-series nature of the data.
VictoriaMetrics Long-Term Support (LTS): Current State
Overview of LTS releases, deprecation of 1.79, review of the most recent LTS 1.93
Monitoring Kubernetes costs with OpenCost and VictoriaMetrics
Read how to set up Kubernetes costs monitoring with VictoriaMetrics.
The BSL is a short-term fix: Why we choose open source
In this blog post, we’ll explain the controversy over the BSL, and why we believe remaining open source helps businesses remain sustainable for the long-term.
Why we generate & collect logs: About the usability & cost of modern logging systems
This blog post looks at what logs are and why they matter, why logs are generated and collected as well as at the costs associated with that. It also provides details on why VictoriaLogs should be considered over similar solutions.