In today’s complex IT world, data centers require powerful, yet easy-to-use automation tools to manage their complex environments. In addition to the job validation that ensures syntactic correctness, there is also a need to maintain asset management for these jobs. ASG-INFO/X Enterprise is designed to automatically capture, cross-reference, and make available current information about production environments. IT personnel can better analyze the impact of changes to production components and avoid mistakes that cause costly production outages.

ASG-INFO/X Enterprise provides a centralized asset management solution for multiple LPAR data centers. (Data sources include JCL, DB2, IMS, and mainframe scheduling products, ASG-Zeke, TWS, ESP, and others.) CICS and CSECT information is also collected and stored in the ASG-INFO/X Repository (DB2 database).

ASG-INFO/X Enterprise extracts data from a number of sources and then processes it on a z/OS platform. During the analysis process, ASG-INFO/X Enterprise resolves all overrides, referbacks, and symbolics, and then stores this data in a repository.

Network connectivity makes it possible for information to be stored on several machines across the enterprise. Production JCL libraries may reside on one z/OS LPAR, while test JCL is stored on a separate LPAR.

The ASG-INFO/X Enterprise Repository is a DB2 database, which may reside on a different LPAR or UNIX server. It contains information about jobs, PROCs, programs, data set names, DB2 tables and views, and CICS system definitions. Since this information is stored in a central repository, all users have access to the same current information.

Concise and accurate online cross-reference information is required by all application programmers. Changes that are accurately analyzed the first time shorten the application delivery cycle and reduce the maintenance backlog. Knowing all the answers precludes unexpected results.

ASG-INFO/X Enterprise eliminates the manual work involved in managing assets (which may reside on multiple LPARs), and returns those jobs to production faster due to reduced research and analysis time.