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VictoriaMetrics 2026 Mid Year Roundup
Take a look at what we shipped in the first half of 2026 across VictoriaMetrics: metrics, logs, traces, and cloud,with improvements in performance, scalability, and usability.
The VictoriaMetrics Observability Blog
Author
- Alexander Marshalov
- Aliaksandr Valialkin
- Artem Navoiev
- Denys Holius
- Derek Foster
- Diana Todea
- Dmytro Kozlov
- Fred Navruzov
- Ivan Yatskevich
- Jan Sokol
- Jean-Jerome Schmidt-Soisson
- Jose Gomez-Selles
- Marc Sherwood
- Mathias Palmersheim
- Nikolay Khramchikhin
- Pablo Fernandez
- Phuong Le
- Roman Khavronenko
- Vadim Alekseev
- Yurii Kravets
- Zakhar Bessarab
- Zhu Jiekun
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- Benchmark
- Community
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- Customer Stories
- Developer Experience
- Distributed Tracing
- Events
- Go @ VictoriaMetrics
- High Cardinality
- Kubernetes
- Monitoring
- Observability
- Open Source Tech
- OpenTelemetry
- OTLP
- Performance
- Product News
- Tech Talk
- Time Series Database
- VictoriaLogs
- VictoriaTraces
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How to reduce expenses on monitoring: be smarter about data
This blog post is the second 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 the VictoriaMetrics ecosystem for improving cost-efficiency of monitoring.
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.
How to reduce expenses on monitoring: Swapping in VictoriaMetrics for Prometheus
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.
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!
Performance optimization techniques in time series databases: sync.Pool for CPU-bound operations
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.
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.