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

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.

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.
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:
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.
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:
Take a look at what we shipped in the first half of 2026 across VictoriaMetrics: metrics, logs, traces, and cloud,with improvements in performance, scalability, and usability.
See practical examples on monitoring LLM applications and Agents with OpenLIT and VictoriaMetrics observability stack. See real examples of the deployment manifests, alerting rules and Grafana dashboard.
Learn how Airbnb rebuilt its observability pipeline with OpenTelemetry and vmagent to handle over 100 million samples per second, reduce cost by 10x, and simplify high-scale metrics aggregation.
We’re thrilled to announce the release of the VictoriaLogs Cluster version – one of the most requested and anticipated updates from our user community. If you’ve been pushing the boundaries of vertical scaling, the solution for horizontal scalability is now here.