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Scaling recommendations

ClickHouse Cloud automatically adjusts CPU and memory resources for each service based on real-time usage — ensuring stable performance while minimizing resource wastage. To balance responsiveness with stability, we utilize a two-window recommender system that monitors utilization over both a short 3-hour window and a longer 30-hour window. This allows us to react quickly to changes and also make decisions based on longer-term trends.

When usage increases, the system references the long window so it can scale up in a single, decisive step to the highest observed load within the past 30 hours. This approach minimizes repeated scale events. Conversely, when traffic declines, the short window guides a quick scale-down within about three hours, conserving resources.

By integrating these two perspectives, the recommender intelligently balances responsiveness with stability.

Benefits​

  • Cost optimization: Right-size your services to avoid paying for unused resources while maintaining performance.
  • Proactive scaling: Get ahead of potential performance issues before they impact your workloads.
  • Balanced approach: The 2-window design prevents over-provisioning from transient spikes while still ensuring adequate headroom for real demand.