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High Performance, Open Source Time Series Database & Monitoring
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Everything in VictoriaMetrics, plus Enterprise-grade Support & Features
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Simple & Reliable Logs Solution That Scales
Powerful Query Language with Full Text Search
Easy to Set Up & Operate
Linear Scalability
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Incredibly Fast, Easy-to-use, Open Source
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From Personal Labs Up To Super Heavy Distributed Systems
From Raspberry PI & Satellites Up To Thousand-Cores Clusters
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We Can Handle Any Kind of Use Case & Integration
Check out our state-of-the-art, open source monitoring and observability solutions that deliver incredible performance, ease of use, scalability and (cost-)efficiency.
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See Our Latest Blogs On All Things Observability

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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