How DreamHost Slashed Memory Usage by 80% and Scaled to 76 Million Time Series

How DreamHost Slashed Memory Usage by 80% and Scaled to 76 Million Time Series

Share: Share on LinkedIn Share on X (Twitter)

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

#

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

#

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

#

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
Leave a comment below or Contact Us if you have any questions!
comments powered by Disqus

You might also like:

VictoriaLogs Basics: What You Need to Know, with Examples & Visuals

Cluster mode in VictoriaLogs is not a separate build. It is the same victoria-logs binary started with different flags, so you can scale out without a migration step. Storage nodes persist data on disk, while gateway nodes can stay stateless by pointing to storage with -storageNode. It also ships with practical safety switches, like read-only protection when -storageDataPath runs low and optional partial results when a storage node is down.

What's New in VictoriaMetrics Cloud Q4 2025? New tiers, more deployment options, IaC and alerting rules.

In the last quarter of 2025, VictoriaMetrics Cloud brings many great features: New powerful Capacity Tiers, the expansion to the us-east-1 (N.Virginia) AWS region in the US, new Notification Groups, a Terraform provider to complete your IaC, 9 brand new Alerting Rule Integrations and much more.

Vibe coding tools observability with VictoriaMetrics Stack and OpenTelemetry

Learn how to add observability to Vibe Coding Tools using OpenTelemetry and the VictoriaMetrics Stack. This guide explains how to configure popular vibe coding tools to export their metrics telemetry and get insights about your vibe coding sessions.

How a US Software Provider Improved Traffic Alerting with VictoriaMetrics Anomaly Detection

VictoriaMetrics Anomaly Detection enables reliable alerting for highly variable, multi-domain traffic without relying on static thresholds. In this case study, fine-tuned models, backtesting, and clear visualization helped reduce alert noise, improve confidence in anomaly detection, and lower operational overhead.