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VictoriaMetrics: Simple & Reliable Monitoring for Everyone on VictoriaMetrics

Operator now has Long-Term Support (LTS) version Multi-tiered Observability: A Practical Way to Handle Diverse Workloads VictoriaMetrics April 2026 Ecosystem Updates Not All Telemetry Requires Premium Pricing VictoriaMetrics at KubeCon Amsterdam: Community Highlights What's new in VictoriaMetrics Anomaly Detection (Q1 2026) What's New in VictoriaMetrics Cloud Q1 2026? Logs, MCP Server, Better Alerting, and... a Secret Project VictoriaMetrics at KubeCon: Optimizing Tail Sampling in OpenTelemetry with Retroactive Sampling VictoriaMetrics March 2026 Ecosystem Updates Observability Lessons From OpenAI Benchmarking Kubernetes Log Collectors: vlagent, Vector, Fluent Bit, OpenTelemetry Collector, and more VictoriaMetrics February 2026 Ecosystem Updates VictoriaMetrics at FOSDEM, Cloud Native Days France, and CfgMgmtCamp Ghent VictoriaLogs in VictoriaMetrics Cloud: Fast, Cost-Effective Log Management is Here What’s new in VictoriaMetrics Anomaly Detection (2025) VictoriaMetrics January 2026 Ecosystem Updates VictoriaLogs Basics: What You Need to Know, with Examples & Visuals What's New in VictoriaMetrics Cloud Q4 2025? New tiers, more deployment options, IaC and alerting rules. Vibe coding tools observability with VictoriaMetrics Stack and OpenTelemetry How a US Software Provider Improved Traffic Alerting with VictoriaMetrics Anomaly Detection VictoriaMetrics 2025 Developer Experience: A Year in Review Spotify’s performance & control across large monitoring environments with VictoriaMetrics VictoriaMetrics Achieves Red Hat OpenShift Operator Certification Our latest updates across the VictoriaMetrics Observability ecosystem New Capacity Tiers in VictoriaMetrics Cloud Announcing 1B+ Downloads & Product Development With Logs, Traces, Metrics AI Agents Observability with OpenTelemetry and the VictoriaMetrics Stack Discarding gRPC-Go: The Story Behind OTLP/gRPC Support in VictoriaTraces What's New in VictoriaMetrics Cloud Q3 2025? From new region in Asia to proactive alerts How DreamHost Slashed Memory Usage by 80% and Scaled to 76 Million Time Series Upcoming Conferences & Meetups: Where to Meet Our Team VictoriaMetrics Long-Term Support (LTS): H2 2025 Update Creating a Sustainable Open Source Business Model - Introduction Full-Stack Observability with VictoriaMetrics in the OTel Demo Alerting Best Practices vmanomaly Deep Dive: Smarter Alerting with AI (Tech Talk Companion) VictoriaLogs Practical Ingestion Guide for Message, Time and Streams Monotonic and Wall Clock Time in the Go time package Hello Singapore! VictoriaMetrics Cloud Expands to Asia Pacific MCP Server Integration & Much More: What's New in VictoriaMetrics Cloud Q2 2025 FIPS 140-3 Compatible Builds for VictoriaMetrics Enterprise Components VictoriaLogs Unleashed: Cluster Version Now Available for Exceptional, Linear Scaling Integrations made easy with VictoriaMetrics Cloud Developer's Note: Research on Distributed Tracing, Comparing With Tempo and ClickHouse vmagent: Key Features Explained in Under 15 Minutes Go synctest: Solving Flaky Tests vmalert: Maximize Your Monitoring (Tech Talk Companion) Celebrating 14K Stars on GitHub: Spring Update vmalert: Maximize Your Monitoring VictoriaMetrics Connects with the Open Source Community at LinuxFest Northwest 2025 Graceful Shutdown in Go: Practical Patterns VictoriaLogs: Gaps, Gains & Growth Prometheus Monitoring: Functions, Subqueries, Operators, and Modifiers VictoriaMetrics Cloud: What's New in Q1 2025? Don’t default to microservices: You’ll thank us later! Container CPU Requests & Limits Explained with GOMAXPROCS Tuning gRPC in Go: Streaming RPCs, Interceptors, and Metadata From Chaos to Clarity with VictoriaLogs Prometheus Alerting 101: Rules, Recording Rules, and Alertmanager Heading to London: Meet Our Team at KubeCon Europe 2025 Inside vmselect: The Query Processing Engine of VictoriaMetrics Meet Our Team at Scale 22x Practical Protobuf - From Basic to Best Practices VictoriaLogs Status Update: Heading Towards the Cluster Version 24th of February 2025 Statement: VictoriaMetrics Stands with Ukraine! Prometheus Metrics Explained: Counters, Gauges, Histograms & Summaries Prometheus Monitoring: Instant Queries and Range Queries Explained 300%+ Growth in 2024: Join Our Team in 2025! FOSDEM 2025 recap How Protobuf Works—The Art of Data Encoding OpenTelemetry, Prometheus, and More: Which Is Better for Metrics Collection and Propagation? How vmstorage Handles Query Requests From vmselect How vmstorage's IndexDB Works VictoriaMetrics Tech Talk Stream: A Deep Dive into Blackbox Monitoring How HTTP/2 Works and How to Enable It in Go VictoriaMetrics Cloud: What's New in Q4 2024? How vmstorage Processes Data: Retention, Merging, Deduplication,... How vmstorage Handles Data Ingestion From vminsert When Metrics Meet vminsert: A Data-Delivery Story From net/rpc to gRPC in Go Applications Piros | VictoriaMetrics Partner Allenta | VictoriaMetrics Partner CloudRaft | VictoriaMetrics Partner Sensedia & VictoriaMetrics: API-compatible Efficient Storage Scalable Prometheus: Why DSV Chose VictoriaMetrics Sensor Factory | VictoriaMetrics Partner Erythix | VictoriaMetrics Partner Groove X & VictoriaMetrics: Faster Device Health Monitoring Scaled & Performant Monitoring at Spotify with VictoriaMetrics Grammarly & VictoriaMetrics: 10× Lower Costs & Direct Access Zelarsoft | VictoriaMetrics Partner DFKI & VictoriaMetrics: Efficient Long-Term Metric Storage Niubits | VictoriaMetrics Partner Megazone Cloud | VictoriaMetrics Partner Cogito Software | VictoriaMetrics Partner Bajau | VictoriaMetrics Partner Find Out Why Dig Security Chose VictoriaMetrics! Ness | VictoriaMetrics Partner Alpha Data | VictoriaMetrics Partner SIOS Technology | VictoriaMetrics Partner
VictoriaMetrics slashes data storage bills by 90% with world’s most cost-efficient monitoring
Jean-Jerome Schmidt-Soisson · 2024-05-30 · via VictoriaMetrics: Simple & Reliable Monitoring for Everyone on VictoriaMetrics

VictoriaMetrics outpaces open-source standard Prometheus’ query latency by 16x

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

The real-world results show customers can save energy costs and achieve Net Zero carbon compliance faster with VictoriaMetrics in their tech stack.

A combination of VictoriaMetrics’ optimized data structures and efficiently coded algorithms reduces the energy costs for data processing and storage by up to 90%. Compared to similar solutions such as InfluxDB and Prometheus, VictoriaMetrics customers and users need significantly less Central Processing Unit (CPU) compute power and Random Access Memory (RAM) storage space. In practice, this can result in 10x cloud cost savings and also save up to x4 network costs.

At a time of increased pressure on IT budgets, VictoriaMetrics minimizes the hardware needed for data storage reducing the reliance on physical servers which can be expensive, unreliable and hard to manage. VictoriaMetrics requires less hardware and compute resources to run, without sacrificing performance and subsequently saving further money on equipment upgrades.

VictoriaMetrics laps Prometheus

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As a drop-in replacement for the most widely-used open-source monitoring system in the world, Prometheus, VictoriaMetrics provides a more efficient software solution. In a benchmark test, VictoriaMetrics outperformed Prometheus, using 1.7x less memory, 2.5x less disk space, and delivering 16x faster query latency on average. This significant improvement in performance translates into substantial cost savings.

Existing monitoring solutions come with hefty price tags and limitations in scalability due to their complex, resource-intensive architectures. These limitations force businesses to choose between monitoring a subset of their data, or incurring significant expenses. VictoriaMetrics’ open-source approach shatters this cost barrier and businesses can optimize performance, reduce costs associated with data movement, and gain a comprehensive view of their entire data landscape – avoiding the high licensing fees and hardware investments typically associated with proprietary software.

“Businesses need a monitoring solution that can keep up with the ever-increasing volume of data without breaking the bank”, said Roman Khavronenko, Co-Founder of VictoriaMetrics. “With VictoriaMetrics, businesses can benefit from the power of open-source software, smart data management techniques, and scalability, while enjoying unparalleled cost efficiency."

VictoriaMetrics in action

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Organizations are increasingly drawn to VictoriaMetrics due to its simplicity, reliability and efficiency. The Compact Muon Solenoid (CMS) experiment at CERN turned to VictoriaMetrics after encountering storage and scalability issues. The architecture of VictoriaMetrics minimizes the energy needed for data processing and storage by as much as 90% in comparison to other comparable technologies.

Similarly, Roblox and Grammarly turned to VictoriaMetrics to help with their monitoring needs. With over 200 million active monthly users, Roblox can now ingest 120 million data points per second into its VictoriaMetrics cluster, whilst Grammarly can retain 18 months’ worth of data without any concern about exorbitant storage costs. Grammarly’s costs were reduced by 10x with VictoriaMetrics.

Stripping ‘dependency bloat’

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Many organizations struggle with dependency bloat, which occurs when a software project has an excessive number of unnecessary dependencies, resulting in slower performance, larger size, and increased complexity. By removing these unnecessary dependencies, VictoriaMetrics not only improves its performance, but also significantly enhances cost efficiency. By taking only the necessary functionalities from libraries and implementing tailored solutions, VictoriaMetrics reduces resource usage, leading to lower infrastructure costs.

VictoriaLogs, soon to be announced…

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VictoriaMetrics will soon be announcing the general availability of its open source, user friendly database for logs - VictoriaLogs. Similarly to VictoriaMetrics, VictoriaLogs is more cost-efficient and reliable than other solutions on the market, such as Elasticsearch and Grafana Loki. VictoriaLogs’ increased efficiency means it can handle up to 30x bigger data volumes than competitors, whilst running on the same hardware.

Getting Started

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Get started with VictoriaMetrics

Get started with VictoriaLogs