EPV for CICS provides you with CICS subsystems tuning and CICS applications tuning, daily trends for day-by-day check, weekly and monthly trends for proactive tuning.
CICS subsystems tuning
EPV for CICS Critical Events provides a complete vision of the “health” of all CICS subsystems by collecting a set of measures such as: virtual storage usage, maxtask reached events, transaction class purging, TCBs and pool threads saturation. EPV for CICS Resources analyses the amount of system resources used by CICS regions, CICS activity keypoints, logging, temporary storage and transient data queuing, LSR pools and files activity…
CICS applications tuning
EPV for CICS Workloads provides complete control of all the workloads connecting to each CICS subsystem. Utilizing extensive drill-down capabilities, you can explore workload performance and consumption by CICS group, Sysplex, region, application and transaction. Using EPV for CICS Workloads you can easily eliminate loops and abnormal behaviours, check CICS balancing and perform more effective application tuning activities.
CICS day-by-day check and proactive tuning
EPV for CICS Trends provides daily, weekly and monthly workload trends. Daily trends allow you to perform a daily check of even complex environments in minutes. Using EPV provided functions, you can easily compare one day to another and spot anomalies in just a few mouse clicks. Weekly and monthly trends will assist you in adopting a proactive approach and understand long term tendencies before they can impact your CICS subsystems performance. EPV for CICS also audits subsystem parameters changes.
Access to available data
EPV for CICS uses standard measures normally available in the z/OS environments and supports various sources, such as ITRM (IT Resource Management), MXG (Merrill’s eXpanded Guide) or native SMF data.
Using “de facto” Standard Technologies
All reports are produced in simple static HTML pages published on a server of your choice and can be accessed by your favourite internet browser. All the tables provided in the reports can be exported individually or together in a MS-Excel spread sheet.
EPV for CICS architecture is based on the following three layers:
•An interface to collect input data;
• An engine to correlate and aggregate data;
• An engine to produce HTML pages.
The EPV Performance database is based on standard SAS files, SQL relational databases or data sets in the Hadoop Distributed File System
EPV for CICS has no pre-requisites; it’s an “out of the box” solution which integrates a light version of the EPV zParser product to interpret the needed SMF records and all the other input data required.
EPV for CICS can also run on top of SAS. In this case the requirements are:
• Availability of a SAS System Base module at least on a PC;
• Availability of one of the following products: SAS ITRM, MXG.