As distributed workloads continue to grow, understanding how remote applications interact with Db2 is becoming increasingly important. While subsystem-level statistics provide an overall view of DDF activity, performance teams often need deeper insight into the systems generating that activity.
IFCID 365 addresses this need by capturing Distributed Relational Database Architecture (DRDA) statistics at the remote location level. Generated by Db2 Statistics Trace Class 7, it records key metrics such as connection activity, SQL requests, message traffic, data volumes exchanged, and transactional activity. These statistics help organizations understand where DDF activity originates and how it evolves over time.
From a performance management perspective, IFCID 365 helps identify the most active remote locations, detect unusual communication patterns, and provide valuable context when investigating DDF performance issues. This visibility supports faster problem determination and more informed capacity planning.
IBM Z IntelliMagic Vision 1.2.0.6 now supports IFCID 365, extending DDF observability with remote location analytics. Users can analyze workload distribution across remote locations, monitor communication trends, and quickly identify systems that may be contributing to performance bottlenecks.
IFCID 365 becomes even more valuable when combined with IFCIDs 411, 412, and 417. Together, these IFCIDs provide application, user, data sharing, and location-level perspectives, enabling a more complete understanding of distributed Db2 workloads
Customer Use Case
A large enterprise noticed increased DDF activity during peak business hours but could not determine which remote systems were responsible. Using IFCID 365, the performance team identified a small number of remote locations generating the majority of requests, enabling them to quickly isolate the source of the workload and optimize application behavior.
References
#Db2 #Db2zOS #DDF #IFCID365 #Db2Performance #Mainframe #DRDA #IntelliMagicVision