Managing the Engineering Lifecycle Management
deployment size
Use the following tasks to monitor the usage of Engineering Lifecycle Management
applications and update the Engineering Lifecycle Management
deployment size.
Monitoring the resource usage of Engineering Lifecycle Management applications in Red Hat OpenShift container platform
The performance of an Engineering Lifecycle Management application is influenced by its CPU and memory usage in the application pod. When the number of users and created artifacts gradually increases over a period, it affects the Engineering Lifecycle Management application performance. You must monitor the Engineering Lifecycle Management applications to ensure that the application pods are operated within the deployment size limits. Automated alerts can be set up to monitor the deployment size usage information. It helps you to understand the deployment size usage and decide on the size enhancement requirement. You can enhance the deployment size of an Engineering Lifecycle Management application or all applications in the Engineering Lifecycle Management instance together.
Updating the deployment size of an existing Engineering Lifecycle Management instance
In an existing Engineering Lifecycle Management instance, the performance of an Engineering Lifecycle Management application can be affected over a period due to the increased demand for resources. To meet the resource requirements, you can update the deployment size of an existing Engineering Lifecycle Management instance. Complete the following procedure to update the deployment size.