eG Monitoring

Measures reported by AWSMSKProducTest A Kafka Producer publishes or writes data to the topics within different partitions. Producers automatically know that, what data should be written to which partition and broker. The user does not require to specify the broker and the partition. This test reports the mean time of the request from the producer to the broker that waits in the queue and the mean time of the response from the broker to the producer that waits in the queue. Using this test, administrators can proactively figure out if the mean time for both the request and response queues takes too long to 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
--- | --- | --- | ---
produceLocalTime | Indicates the mean time for the follower to send a response. | Seconds |
produceMsgeConversonTime | Indicates the mean time spent on message format conversions. | Seconds |
produceRequestQueueTime | Indicates the mean time that request messages spend in the queue. | Seconds |
produceResponseQueueTime | Indicates the mean time that response messages spend in the queue. | Seconds |
produceResponseSendTime | Indicates the mean time spent on sending response messages. | Seconds |
produceTotalTime | Indicates the mean produce time. | Seconds |