You can modify the capacity of your Event Streams system in a number of ways. See the following sections for details about the different methods, and their impact on your installation.
You can start with the default installation parameters when deploying Event Streams, and test the system with a workload that is representative of your requirements. For this purpose, Event Streams provides a workload generator application to test message loads.
If this testing shows that your system does not have the capacity needed for the workload, whether this results in excessive lag or delays, or more extreme errors such as OutOfMemory errors, then you can incrementally make the increases detailed in the following sections, re-testing after each change to identify a configuration that meets your specific requirements.
Increase the number of Kafka brokers in the cluster
To set this at the time of installation, you can use the --set kafka.brokers=<NUMBER> option in your helm install command if using the CLI, or enter the number in the Kafka brokers field of the Configure page if using the UI.
To modify the number of Kafka brokers for an existing Event Streams installation, use the following command:
helm upgrade --reuse-values --set kafka.brokers=<NUMBER> <release_name> <charts.tgz> --tls
Note: Where <charts.tgz> is the name of the chart file you used to install Event Streams, including the full path to it if in a different directory. To run helm upgrade commands, ensure you have the original chart file available.
Increase the CPU limit available to each Kafka broker
To set this at the time of installation, you can use the --set kafka.resources.limits.cpu=<LIMIT> --set kafka.resources.requests.cpu=<LIMIT> options in your helm install command if using the CLI, or enter the values in the CPU request for Kafka brokers and CPU limit for Kafka brokers fields of the Configure page if using the UI.
To modify this for an existing Event Streams installation, use the following command:
helm upgrade --reuse-values --set kafka.resources.limits.cpu=<LIMIT> --set kafka.resources.requests.cpu=<LIMIT> <release_name> <charts.tgz> --tls
Note: Where <charts.tgz> is the name of the chart file you used to install Event Streams, including the full path to it if in a different directory. To run helm upgrade commands, ensure you have the original chart file available.
A description of the syntax for these values can be found in the Kubernetes documentation.
Increase the amount of memory available to each Kafka broker
To set this at the time of installation, you can use the --set kafka.resources.limits.memory=<LIMIT> --set kafka.resources.requests.memory=<LIMIT> options in your helm install command if using the CLI, or enter the values into the Memory request for Kafka brokers and Memory limit for Kafka brokers fields of the Configure page if using the UI.
The syntax for these values can be found in the Kubernetes documentation.
To modify this for an existing Event Streams installation, use the following command:
helm upgrade --reuse-values --set kafka.resources.limits.memory=<LIMIT> --set kafka.resources.requests.memory=<LIMIT> <release_name> <charts.tgz> --tls
Note: Where <charts.tgz> is the name of the chart file you used to install Event Streams, including the full path to it if in a different directory. To run helm upgrade commands, ensure you have the original chart file available.
Increase the memory available to supporting systems
If you have significantly increased the memory available to Kafka brokers, you will likely need to make a similar increase in the memory available to the other components that support the Kafka brokers.
Ensure you consider the following two components.
The metrics reporter component captures the monitoring statistics for cluster, broker, and topic activity. The memory requirements for this component will increase with the number of topic partitions in the cluster, and the throughput on those topics.
To set this at the time of installation, you can use the following options:
--set kafka.metricsReporterResources.limits.memory=<LIMIT>
--set kafka.metricsReporterResources.requests.memory=<LIMIT>
A description of the syntax for these values can be found in the Kubernetes documentation.
The message indexer indexes the messages on topics to allow them to be searched in the Event Streams UI. The memory requirements for this component will increase with the cluster message throughput.
To set this at the time of installation, you can use the --set messageIndexing.resources.limits.memory=<LIMIT> option in your helm install command if using the CLI, or enter the values into the Memory limits for Index Manager nodes fields of the Configure page if using the UI.
The syntax for the container memory limits can be found in the Kubernetes documentation.
To modify this for an existing Event Streams installation, use the following command:
helm upgrade --reuse-values --set kafka.metricsReporterResources.limits.memory=<LIMIT> --set kafka.metricsReporterResources.requests.memory=<LIMIT> --set messageIndexing.resources.limits.memory=<LIMIT> <release_name> <charts.tgz> --tls
Note: Where <charts.tgz> is the name of the chart file you used to install Event Streams, including the full path to it if in a different directory. To run helm upgrade commands, ensure you have the original chart file available.
Custom JVM tuning for Kafka brokers
If you have specific requirements, you might need to further tune the JVMs running the Kafka brokers, such as modifying the garbage collection policies.
Note: Take care when modifying these settings as changes can have an impact on the functioning of the product.
To provide custom JVM parameters at the time of installation, you can use --set kafka.heapOpts=<JVMOPTIONS> option in your helm install command.
To modify this for an existing Event Streams installation, use the following command:
helm upgrade --reuse-values --set kafka.heapOpts=<JVMOPTIONS> <release_name> <charts.tgz> --tls
Note: Where <charts.tgz> is the name of the chart file you used to install Event Streams, including the full path to it if in a different directory. To run helm upgrade commands, ensure you have the original chart file available.
Use a faster storage class for PVCs used by Kafka brokers
The speed of the storage available to Kafka brokers will impact performance.
Set this at the time of installation with the --set kafka.persistence.dataPVC.storageClassName=<STORAGE_CLASS> option in your helm install command if using the CLI, or by entering the required storage class into the Storage class name field of the Kafka persistent storage settings section of the Configure page if using the UI.
For more information about available storage classes, see the IBM Cloud Private documentation.
Increase the disk space available to each Kafka broker
The Kafka brokers will require sufficient storage to meet the retention requirements for all of the topics in the cluster. Disk space requirements grow with longer retention periods or sizes, and more topic partitions.
Set this at the time of installation with the --set kafka.persistence.dataPVC.size=<SIZE> option in your helm install command if using the CLI, or by entering the required persistence size into the Size field of the Kafka persistent storage settings section of the Configure page if using the UI.