eG Monitoring
 

Measures reported by AWSMSKVolumeTest

This test periodically checks the health and availability status of each volume used by the EC2 instances in the monitored region and notifies administrators if any volume is in an abnormal state. Similarly, the test also tracks the I/O load on every volume and measures how well each volume processes the load - overloaded volumes and those that are experiencing processing hiccups are highlighted in the process.

Outputs of the test: One set of results for the target AWS Managed Service Kafka server.

The measures made by this test are as follows:

Measurement Description Measurement Unit Interpretation
volumeQueueLength Indicates the number of read and write operation requests waiting to be completed. Number

A consistent increase in the value of this measure could indicate a I/O processing bottleneck on the volume.

volumeReadBytes Indicates the rate at which data was read from this volume. MB

Compare the value of this measure to identify the volume that is the slowest in responding to read requests.

volumeReadOps Indicates the rate at which read operations were performed on this volume. Number

Compare the value of this measure across volumes to know which volume is too slow in processing read requests.

volumeTotalReadTime Indicates the total time taken by all completed read operations. Seconds

A very high value for this measure could indicate that the volume took too long to service one/more read requests.

volumeTotalWriteTime Indicates the total time taken by all completed write operations. Seconds

A very high value for this measure could indicate that the volume took too long to service one/more write requests.

volumeWriteBytes Indicates the rate at which data was written to this volume. MB

Compare the value of this measure to identify the volume that is the slowest in responding to write requests.

volumeWriteOps Indicates the rate at which write operations were performed on this volume. Number

Compare the value of this measure across volumes to know which volume is too slow in processing write requests.