Throughput is Too Slow - Amazon Kinesis Data Analytics
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Throughput is Too Slow

If your application is not processing incoming streaming data quickly enough, it will perform poorly and become unstable. This section describes symptoms and troubleshooting steps for this condition.


This condition can have the following symptoms:

  • If the data source for your application is a Kinesis stream, the stream's MillisBehindLatest metric continually increases.

  • If the data source for your application is an Amazon MSK cluster, the cluster's consumer lag metrics continually increase. For more information, see Consumer-Lag Monitoring in the Amazon MSK Developer Guide.

  • If the data source for your application is a different service or source, check any available consumer lag metrics or data available.

Causes and Solutions

There can be many causes for slow application throughput. If your application is not keeping up with input, check the following:

  • If throughput lag is spiking and then tapering off, check if the application is restarting. Your application will stop processing input while it restarts, causing lag to spike. For information about application failures, see Application is Restarting.

  • If throughput lag is consistent, check to see if your application is optimized for performance. For information on optimizing your application's performance, see Troubleshooting Performance.

  • If throughput lag is not spiking but continuously increasing, and your application is optimized for performance, you must increase your application resources. For information on increasing application resources, see Scaling Production readiness.

For troubleshooting steps for slow throughput or consumer lag increasing in the application source, see Troubleshooting Performance.