Elastic Compute Service
Metric | Description |
Metric | Description |
Volume read/write throughput | The actual rate of successful data transfer within the current volume during the query period in Mbps. Higher throughput means that a greater volume of data can be transmitted in a given amount of time. This is ideal for scenarios with high bandwidth requirements, such as sequentially reading or writing large files, backing up databases, or migrating large amounts of data. |
Volume read/write IOPS | The number of input/output (I/O) operations that the current volume processes per unit of time. It indicates EBS's ability to handle read/write operations at a rate of counts per second. A higher IOPS indicates that the volume can process more read and write operations per second. This makes it ideal for applications requiring high random I/O performance, such as processing database transactions and reading and writing small files with high concurrency. |
Average I/O size (read/write) | The amount of data, in bytes, read or written within the current volume per I/O operation. The I/O size affects the storage system's throughput and efficiency.
In order to evaluate the current volume specification against the actual workload, it is necessary to combine IOPS and throughput data. |
BPS utilization | The ratio of the actual throughput to the maximum allowed for the current volume. It is used to monitor throughput utilization of a volume. When this ratio consistently approaches 100%, it means the volume's data transfer capacity is nearly maxed out. Increasing the load further may cause performance bottlenecks and affect application response times. If utilization remains high for an extended period, we recommend upgrading the volume specification or optimizing the data transfer strategy. |
IOPS utilization | The ratio of the actual IOPS to the maximum allowed for the current volume. It is used to monitor the utilization of a volume's I/O processing capacity. When this ratio consistently approaches 100%, it means the volume's concurrent I/O processing capacity is nearly maxed out. This can result in increased latency or failed requests, which can affect the stability of upper-layer applications. If utilization remains high for an extended period, we recommend upgrading the volume specification or optimizing the concurrent access strategy. |