REMOTE QM CP4I
Here in this blog, we will learn about Remote QM CP4I.
The application that needs to connect to the queue manager might be deployed outside of the OpenShift cluster where the queue manager is running. You must first create an Open Shift Route to connect an application to an IBM MQ queue manager from outside a Red Hat OpenShift cluster. TLS must be enabled on your IBM MQ queue manager and client application because Server Name Indication (SNI) is only available via the TLS protocol. The OpenShift Container Platform (OCP) Router employs SNI to route requests to the IBM MQ queue management. The appropriate OpenShift Route setup is determined by your client application’s SNI behaviour.
Advantages and Features-
Isolation and Security:
Enhanced Security: By keeping the queue manager outside the cluster, it can be isolated from the internal network, providing an additional layer of security. This setup can help mitigate potential security breaches within the cluster from affecting the queue manager.
Controlled Access: Access to the queue manager can be more easily controlled and monitored, reducing the risk of unauthorized access.
Resource Management:
Reduced Resource Contention: Running the queue manager outside the cluster can prevent it from competing for resources (CPU, memory, disk I/O) with other services in the cluster, leading to more predictable performance.
Scalability: It can be easier to scale the queue manager independently without impacting the resources available to the cluster.
Flexibility and Integration:
Flexible Integration: An external queue manager can be more easily integrated with different clusters, services, or external systems, providing greater flexibility in architecture.
Cross-Cluster Communication: Facilitates communication between multiple clusters or external systems, enabling better interoperability and data exchange.
Performance Monitoring and Optimization:
Dedicated Monitoring: Performance monitoring and optimization efforts can be focused specifically on the queue manager without the noise of other cluster activities.
Performance Isolation: Problems or performance bottlenecks within the cluster do not impact the queue manager, leading to more stable and predictable performance for queue-related operations.
