Administering

IBM Business Automation Insights deployed on a Kubernetes cluster presents a wealth of configuring features and troubleshooting solutions.

Checking the status of your cluster and Business Automation Insights deployments
You can use the OpenShift® Container Platform (OCP) console and oc commands to check the status of your cluster and IBM Business Automation Insights deployments.
Pods for IBM Business Automation Insights
IBM Business Automation Insights uses a number of mandatory or optional pods in a Kubernetes cluster.
Accessing Business Automation Insights services
To retrieve the URLs, credentials, and certificates of each Business Automation Insights service, look up the information from the status.components section in the custom resource of the Business Automation Insights Engine component.
Configuring your deployment for custom events
On your deployment, a Processing Application processes events from IBM® Business Automation products or custom sources, and makes the resulting data available to display in dashboards.
Configuring event emitters
After IBM Business Automation Insights is configured, you install and configure the emitter that you need to send raw events to Flink jobs. You can later update the configuration.
Securing communications from event emitters to Kafka
Options are available to configure and secure communications from event emitters to your Kafka server. The security of communications from event emitters to Kafka must match the security configuration of Cloud Pak foundational services Kafka.
Updating your Business Automation Insights custom resource
You can update your IBM Business Automation Insights custom resource (CR) by passing new configuration parameter values in the YAML file and running the kubectl apply command. You do not need to scale down operators, nor to delete Kubernetes jobs and pods.
Moving to production
When you are satisfied with your test environment and are ready to move to production, some security and scalability settings are necessary.
Operating Business Automation Insights
After you have configured your IBM Business Automation Insights custom resource (CR) and start working with it, you can further tune your configuration for operation with Apache Flink and OpenSearch.
Preparing your cluster for fault tolerance
To ensure recovery from possible job failures, IBM Business Automation Insights uses Apache Flink checkpoints and savepoints, and high availability mode. You can restart a job from a previous checkpoint or savepoint. For some possible failure cases, you can also take preventive steps.
Securing communications and data
Securing your environment, especially in production mode, is a major aspect of setting up your IBM Business Automation Insights system.
Collecting and sending metrics to IBM Software Central
To maintain compliance with IBM licensing terms and conditions, collect and send IBM Business Automation Insights license and usage metrics to IBM Software Central.
Generating logs for auditing purposes
The logging of audit-able activities and events of a BAI production deployment can be enabled after installation by setting the sc_audit_logging.enabled custom resource (CR) parameter to true. An audit event is any activity that manages or manipulates sensitive data. Information about the activity provides accountability, traceability, and regulatory compliance of data access, data modification, and data security.
Monitoring Business Automation Insights deployments in IBM Instana Observability
Learn how to configure IBM Instana® Observability to monitor Business Automation Insights deployments and view key performance metrics.
Integrating leaf certificates for the Kafka route
You can configure Business Automation Insights production deployments to use leaf certificates instead of operator-generated certificates to secure Kafka route communications.
Optimizing resource usage with IBM Turbonomic
IBM Turbonomic can be used to optimize the usage of resources by your Business Automation Insights deployment. Turbonomic is an AI-powered solution that continuously analyzes workload demand and automates CPU and memory adjustments to keep applications performant and cost-efficient.
Troubleshooting IBM Business Automation Insights on Kubernetes
If event emission or data visualization does not work as expected, the following pages help you resolve issues.