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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? 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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! 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Scaled & Performant Monitoring at Traefik Labs with VictoriaMetrics
Michel Loiseleur, Head of Platforms, Traefik Labs · 2001-01-01 · via VictoriaMetrics: Simple & Reliable Monitoring for Everyone on VictoriaMetrics

Reducing CPU 2x: Traefik Labs Uses VictoriaMetrics as Drop-in Prometheus Replacement

Traefik Labs logo

  • API management platform
  • Lyon, France

Traefik Labs chose VictoriaMetrics to replace Prometheus, resulting in: 2x reduction in CPU usage. Instant feedback loop to make metrics faster and simpler to work with. Better user experience with the configuration inside the UI, so Traefik Labs can test relabeling configuration before applying it. Prometheus-compatible APIs and query language. Simplified architecture for easier deployment and management.

Main Benefits of Using VictoriaMetrics

  • Rocket icon representing stability and reliability

    Stability & Reliability

  • Metrics monitoring icon representing operational visibility

    Operational Visibility

  • Recommendation icon representing open source

    Open Source

Challenge

Before adopting VictoriaMetrics, Traefik Labs faced several challenges:

  • Monitoring metrics was the biggest pod in their infrastructure. You don't want the observability stack to occupy more resources than your actual workload.
  • Changing labels, dropping metrics, etc. meant restarting Prometheus each time. This was a 40-second wait and a poor user experience.

Solution

Traefik Labs chose VictoriaMetrics to replace Prometheus, resulting in:

  • 2x reduction in CPU usage.
  • Instant feedback loop to make metrics faster and simpler to work with.
  • Better user experience with the configuration inside the UI, so Traefik Labs can test relabeling configuration before applying it.
  • Prometheus-compatible APIs and query language.
  • Simplified architecture for easier deployment and management.

Why VictoriaMetrics Was Chosen Over Other Solutions

  • Recommendation icon representing open source flexibility

    Open source company with an open core model allows a wide range of use cases.

  • Metrics monitoring icon representing lightweight maintenance

    Simple maintenance with a lightweight, resilient metric collector.

  • Expert support icon representing user experience and community focus

    User experience and attention to the community to solve real-world issues.

  • Architecture icon representing microservices flexibility

    Traefik’s switch to monitoring with VictoriaMetrics was driven by the architecture. Since it’s divided into multiple microservices, you can pick some metrics on the source, draw up a label on a few things, and send it to the monitoring tool via another small storage node.

Technical Stats

  • Ingestion rate

    677 dp/s

  • Active time series

    4600

  • CPU usage

    3%

What Traefik Labs Had to Say

  • “It's Prometheus taken to the next level, where all the good things are kept and the bad things are improved, like the user experience. It's really what an observability system should be: something really tiny that does only what we want it to do.”