The VictoriaMetrics Observability Blog
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Monitoring

VictoriaMetrics Anomaly Detection: What's New in H1 2024?

by Fred Navruzov on Jul 17, 2024

Explore the latest improvements in VictoriaMetrics Anomaly Detection (vmanomaly), including presets, new models, enhanced tuning, and better resource management

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Monitoring Proxmox VE via Managed VictoriaMetrics

by Mathias Palmersheim / Denys Holius on Jun 19, 2024

Monitoring Proxmox hypervisor via VictoriaMetrics and Proxmox’s built-in metric server

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Introduction to Managed Monitoring

by Ivan Yatskevich on Jun 12, 2024

Learn about the different types of managed monitoring services available on the market, and why you might consider picking one of them to manage your monitoring infrastructure.

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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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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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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.

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Anomaly Detection for Time Series Data: An Introduction

by Fred Navruzov on Oct 18, 2023

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.

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Monitoring Kubernetes costs with OpenCost and VictoriaMetrics

by Zakhar Bessarab on Oct 9, 2023

Read how to set up Kubernetes costs monitoring with VictoriaMetrics.

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Why we generate & collect logs: About the usability & cost of modern logging systems

by Aliaksandr Valialkin on Aug 1, 2023

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.

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Never-firing alerts: What they are and how to deal with them

by Roman Khavronenko on May 19, 2023

Read how vmalert helps to find alerting rules which don’t match any time series. Such rules will never fire and only trick users with a false sense of protection.

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