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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
Groove X & VictoriaMetrics: Faster Device Health Monitoring
2001-01-01 · via VictoriaMetrics: Simple & Reliable Monitoring for Everyone on VictoriaMetrics

Device (Robot & Charge Station) Health Monitoring With VictoriaMetrics for Performance, Scalability & Metrics' Correctness

Groove X logo

  • Robotics
  • Tokyo, Japan

Groove X is a robotics technology startup based in Tokyo, Japan, on a mission to bring out humanity's full potential through robotics. Its vision is to build trust between humanity and robots, to create companions for more enriched and secure living. Established in 2015, Groove X has raised over 5M Yen to help turn its mission into reality and has more than 80 employees.

Main Benefits of Using VictoriaMetrics

  • Speedometer database icon representing low latency

    Low Latency

  • Settings icon representing maintainability

    Maintainability

  • Metrics monitoring icon representing metrics correctness

    Metrics' Correctness

Challenge

We started out working with a Prometheus server and then migrated to Thanos.

The Thanos cluster also experienced a performance issue (long latency on requests) which led us to look for alternatives.

Solution

We heard from a partner company of ours that they were using VictoriaMetrics and recommended it to us.

We built an additional k8s cluster next to our original Thanos cluster and tried VictoriaMetrics in parallel for a while.

It was easier to manage and performed better for us so we eventually decided to switch to VictoriaMetrics.

Why VictoriaMetrics Was Chosen Over Other Solutions

  • Rocket icon representing performance

    Performance

  • Scalability icon representing scalability

    Scalability

  • Agile development icon representing active development

    Active Development

  • Performance and scalability are of critical importance to us. We use metrics in our daily work and long latency is a big problem and metrics' correctness is equally important.
  • VictoriaMetrics was the first solution we found that exceeded all of our stringent monitoring needs.