VictoriaMetrics Observability Blog

Author
Category

Filter: VictoriaMetrics

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

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

Introduction to Managed Monitoring

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.

VictoriaMetrics slashes data storage bills by 90% with world’s most cost-efficient monitoring

We’re happy to share customer research today demonstrating that VictoriaMetrics is the world’s most cost-efficient monitoring solution! Read the post for details!

How ilert Can Help Enhance Your Monitoring With Its VictoriaMetrics Integration

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

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

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.

VictoriaMetrics Machine Learning takes monitoring to the next level

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

5 Year Anniversary Celebrations

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

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

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

Anomaly Detection for Time Series Data: Techniques and Models

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.