![]() This is based on a comparison between setting autoscale Tmax and the same amount T in standard (manual) throughput.īilling is done on a per-hour basis for the RU/s provisioned, regardless of how many RUs were consumed. ![]() #Api 3000 Manual fullOf all hours in a month, if you set autoscale max RU/s Tmax and use the full amount Tmax for 66% of the hours or less, it's estimated you'll save with autoscale. You have RU/s usage that is variable or hard to predict. You want Azure Cosmos DB to manage your throughput capacity (RU/s) and scale, based on usage. This is based on a comparison between setting T in standard (manual) and the same amount Tmax in autoscale. Of all hours in a month, if you set provisioned RU/s T and use the full amount for 66% of the hours or more, it's estimated you'll save with standard (manual) provisioned RU/s. ![]() You have high, consistent utilization of provisioned RU/s. You want to manually manage your throughput capacity (RU/s) and scale yourself. For example, if you set autoscale maximum RU/s of 4000 RU/s, the system will scale between 400 - 4000 RU/s. The system automatically scales the throughput T such that 0.1* Tmax <= T <= Tmax. You set the highest, or maximum RU/s Tmax you don't want the system to exceed. For example, if you set standard (manual) 400 RU/s, the throughput will stay at 400 RU/s. Each second, you can use up to T RU/s throughput. You provision a set amount of RU/s T that is static over time, unless you manually change them. Workloads with variable or unpredictable traffic. Workloads with steady or predictable traffic The following table shows a high-level comparison between standard (manual) and autoscale. Database operations against the service, such as reads, writes, and queries consume some amount of request units (RUs). The service provisions the capacity needed to support the throughput requirements. ![]() When you use provisioned throughput, you set the throughput, measured in request units per second (RU/s) required for your workload. Overview of provisioned throughput typesīefore diving into the difference between standard (manual) and autoscale, it's important to first understand how provisioned throughput works in Azure Cosmos DB. #Api 3000 Manual how toThis article describes how to choose between standard (manual) and autoscale provisioned throughput for your workload. Both throughput types are suitable for mission-critical workloads that require high performance and scale, and are backed by the same Azure Cosmos DB SLAs on throughput, availability, latency, and consistency. Azure Cosmos DB supports two types or offers of provisioned throughput: standard (manual) and autoscale. ![]()
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