Elastic Compute Service
Performance metric | ESSD | | TSSD TL0 | PTSSD (discontinued) |
| FlexPL | PL0 | | |
Maximum IOPS per volume | 200,000 | 10,000 | 20,000 | 30,000 |
Formula to calculate IOPS |
| IOPS = min{1,800 + 12 × Capacity (GiB), 10,000} |
| Not applicable. |
Maximum throughput per volume (MB/s) | 2,000 | 180 | 1,000 | 350 |
Formula to calculate throughput |
| Throughput = min{100 + 0.25 × Capacity (GiB), 180} |
| Not applicable. |
Average latency of single-path random writes (block size = 4K) | The average random write latency for newly created ESSD FlexPL volumes is 0.2 ms in some availability zones and 0.3 to 0.5 ms in others. For more information, see Latency. | 0.3–0.5 ms | 1–2 ms | 0.3–0.5 ms |
Maximum capacity per volume (GiB) |
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Promised data reliability | 99.9999999% (9 nines) | 99.9999999% (9 nines) | 99.9999999% (9 nines) | 99.99999% (7 nines) |
API name | ESSD_FlexPL | ESSD_PL0 | TSSD_TL0 | PTSSD |
Type | Characteristics and use cases |
ESSD FlexPL |
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ESSD PL0 |
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TSSD TL0 |
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Method | Use cases | Related documentation |
Change the type of your volume | If you are using an ESSD PL0 volume, you can switch to an ESSD FlexPL volume to meet growing performance needs. This method is useful when your business experiences significant growth and has strict performance requirements for its volumes. | |
Provision additional performance for your volume | You can provision additional performance for an ESSD FlexPL or a TSSD TL0 volume. This method offers on-demand usage and flexibility and is ideal for scenarios with fluctuating storage performance needs. | |
Enable burst performance | You can enable burst performance for an ESSD FlexPL volume. This feature temporarily increases IOPS or throughput within performance limits in order to handle short-term traffic spikes. Burst performance automatically scales down when the workload returns to normal levels. This is suitable for burst workloads or scenarios that require processing large amounts of data in a short time. | |
Extend your volume | Volume performance increases with capacity. If you encounter an I/O bottleneck due to business growth, and the volume is low on storage space but has not yet reached its performance limit, consider extending the volume to improve performance. |