Collecting and interpreting IMS monitoring data

Monitoring is the collection and interpretation of IMS data. This data helps you understand the daily needs of the system and provides an insight into areas that might need changes.

Monitoring should be an ongoing task because:

For multi-system networks, plan to obtain both statistical and performance data for IMS online systems that are part of the network. You can use the same monitoring tools that are used for generating performance data for single IMS systems:

Start of changeYou can use IBM® z/OS® Workload Interaction Correlator to gather workload data for IMS systems and other participating z/OS components and middleware to diagnose performance issues across the stack. IBM z/OS Workload Interaction Correlator generates synchronized, standardized, and summarized data every 5 seconds across the z/OS stack, including IMS, by grouping similar jobs together in a common software context. End of change

Overall, conclusions from continuous monitoring and historical records provide a good starting place from which to answer end-user complaints and to provide initial directions for tuning projects.