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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:
May 2026 VictoriaMetrics release roundup: v1.144.0 brings 15 bug fixes and 9 UX improvements for reliability and observability, while v1.143.0 adds native Prometheus histogram ingestion support across vmagent, vmsingle, and vminsert. Also includes the first LTS release for VictoriaMetrics Operator.
VictoriaMetrics Operator introduces Long-Term Support (LTS) releases starting with v0.68.x, ensuring stability and a predictable upgrade path for users.
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.
Discover multi-tier observability architecture with VictoriaMetrics OSS. Learn how to isolate default, high-cardinality, and business-critical workloads into separate tiers with optimized retention periods, ingestion resolution, cardinality limits, alerting policies, and cost controls.