The VictoriaMetrics Observability Blog

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

How ilert Can Help Enhance Your Monitoring With Its VictoriaMetrics Integration

by Jean-Jerome Schmidt-Soisson on May 24, 2024

The integration of VictoriaMetrics with ilert creates a seamless environment where real-time metrics are transformed into actionable alerts. Read this joint article for the details

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Comparing Performance and Resource Usage: Grafana Agent vs. Prometheus Agent Mode vs. VictoriaMetrics vmagent

by Zakhar Bessarab on Mar 27, 2024

We compared the performance and resource usage of Grafana Agent, Prometheus Agent Mode, and VictoriaMetrics vmagent to help readers make informed decisions when choosing an agent for their monitoring needs.

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VictoriaMetrics Machine Learning takes monitoring to the next level

by Jean-Jerome Schmidt-Soisson on Mar 19, 2024

Announcing VictoriaMetrics Anomaly Detection solution, which harnesses machine learning to make database alerts more relevant, accurate and actionable for enterprise customers.

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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.

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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!

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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.

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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.

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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.

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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.

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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.

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Watch Your Monitoring SkyRocket With VictoriaMetrics!