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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 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! 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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 VictoriaMetrics helps IHI Terrasun Win Big in Vegas on $1.2B Clean Energy Project 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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How DreamHost Slashed Memory Usage by 80% and Scaled to 76 Million Time Series
Marc Sherwood · 2025-10-05 · via VictoriaMetrics: Simple & Reliable Monitoring for Everyone on VictoriaMetrics

For any growing business, there comes a point where the tools that once worked perfectly begin to show their limits. This is especially true for monitoring infrastructure. As your user base, services, and data volumes expand, the pressure on your monitoring stack intensifies. For web hosting leader DreamHost, with over 1.5 million websites to manage, their existing open-source solutions simply couldn’t keep up.

Dreamhost VictoriaMetrics

They found their monitoring stack would “fall apart” under the load of high-cardinality data, consuming immense resources just to stay operational. The challenge was clear: find a solution that could handle massive scale without the operational overhead.

The VictoriaMetrics Difference: Scaling Without the Strain

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After evaluating the usual suspects, DreamHost chose VictoriaMetrics, and the results speak for themselves. The switch wasn’t just an incremental improvement; it was a transformative one.

Here are some of the key gains they experienced:

  • An 80% Reduction in Memory Usage: This was the most immediate and impactful result. By switching to VictoriaMetrics, DreamHost dramatically cut their resource consumption compared to their previous Prometheus setup, freeing up budget and engineering time.
  • Proven Scale for a Massive Environment: DreamHost is now effortlessly handling over 76 million active time series and ingesting more than 450,000 data points per second. This isn’t a test environment; this is a real-world, high-stakes production workload.
  • Effortless Scalability: The best summary comes directly from DreamHost’s Distinguished Engineer, Jordan Tardif, who describes VictoriaMetrics as “Prometheus, that scales with way less effort & resources.”

From Technical Wins to Business Impact

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The ultimate goal of monitoring isn’t just to collect data; it’s to gain visibility that drives business value. For DreamHost, the stability and efficiency of VictoriaMetrics led to a “massive improvement in visibility” into what is happening with their customers’ websites. This allows them to be more proactive, improve service quality, and build a better customer experience.

See the Full Story or Start Your Own

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DreamHost’s success is a powerful example of what happens when a great product meets a challenging problem. If their story resonates with you, here’s how you can learn more:

  • Talk to Us: Facing similar scaling challenges? Let’s chat about how VictoriaMetrics can help you achieve the same results. Contact Sales