The VictoriaMetrics Observability Blog

Read Our Technical & Business Content on Monitoring Solutions & Time Series Databases

How to reduce expenses on monitoring: Swapping in VictoriaMetrics for Prometheus

by Roman Khavronenko on Feb 13, 2024

This blog post is the first in the series of the blog posts based on the talk about ‘How to reduce expenses on monitoring’, stackconf 2023. It is about open-source instruments and techniques from theVictoriaMetrics ecosystem for improving cost-efficiency of monitoring.

Read

5 Year Anniversary Celebrations

by Denys Holius & Jean-Jerome Schmidt-Soisson on Dec 21, 2023

We’re celebrating 5 years of VictoriaMetrics and this blog post shares details on our top 5 stats, contributors, commentators and more! Happy anniversary!

Read

Performance optimization techniques in time series databases: sync.Pool for CPU-bound operations

by Roman Khavronenko / Aliaksandr Valialkin on Dec 8, 2023

This blog post is the fourth in the series of 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.

Read

VictoriaMetrics Enterprise, the World’s Fastest Open-Source-Based Monitoring: Try It for Free

by Jean-Jerome Schmidt-Soisson on Dec 6, 2023

VictoriaMetrics Enterprise is now available as a free trial - start yours today! Read the announcement for details.

Read

Anomaly Detection for Time Series Data: Techniques and Models

by Fred Navruzov on Nov 29, 2023

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.

Read

Performance optimization techniques in time series databases: Limiting concurrency

by Roman Khavronenko / Aliaksandr Valialkin on Nov 24, 2023

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.

Read

Performance optimization techniques in time series databases: function caching

by Roman Khavronenko / Aliaksandr Valialkin on Nov 17, 2023

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.

Read

Performance optimization techniques in time series databases: strings interning

by Roman Khavronenko / Aliaksandr Valialkin on Nov 7, 2023

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.

Read

Momentum: Announcing 268 Million Downloads & 320% Growth in 2023

by Jean-Jerome Schmidt-Soisson on Nov 3, 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.

Read

Anomaly Detection for Time Series Data: Anomaly Types

by Fred Navruzov on Oct 27, 2023

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.

Read

Watch Your Monitoring SkyRocket With VictoriaMetrics!