Azure Cosmos DB Autoscale for Predictable Performance

What Provisioned Throughput in Autoscale Mode Is

Azure Cosmos DB provisioned throughput with autoscale is a capacity management model that allows database resources to automatically scale up and down instantly based on incoming workload demand. Instead of paying for peak capacity continuously or suffering from cold-start latency, autoscale scales throughput (measured in Request Units per second, or RU/s) within a defined range.

How It Meets the Requirements

• Predictable performance: Autoscale instantly accommodates traffic surges without the cold-start latencies associated with serverless architectures.
• Production reliability: By maintaining active, dedicated capacity that scales dynamically, it ensures mission-critical production workloads maintain consistent response times.
• Operational resilience: It avoids throttled requests during unexpected bursts of customer traffic.

Key Advantages

• Instantaneous scaling: Scales RU/s dynamically between 10% of maximum and 100% of maximum with zero warmup time.
• SLA-backed performance: Delivers single-digit millisecond latency guarantees for both reads and writes.
• Cost efficiency: Scales down capacity during low-traffic periods while preserving instant responsiveness.
• High availability: Supports multi-region replication and fault tolerance across availability zones.

Why This Is Optimal

For high-demand, variable production systems, provisioned throughput with autoscale provides the best balance of predictability, reliability, and cost control, eliminating latency spikes during sudden load shifts.