IBM Application Performance Analyzer for zOS vs SymDump comparison

IBM Application Performance Analyzer for z/OS measures and reports how applications use available resources. This easy to use tool helps you identify system constraints and improve application performance.

Application Performance Analyzer for z/OS:

• Helps you maximize the performance of your existing applications and improve response time of online transactions and batch turnaround times.
• Gives you the information needed to isolate performance problems in applications and test the effect of increased workloads on your systems.
• Monitors, analyzes and reports the performance of CICS, Assembler, COBOL, PL/I, C/C++, DB2, IMS WebSphere MQ and WebSphere Application Server applications.
• Collects samples from the monitored address space and analyzes the system or resource application usage of CPU, DASD, I/O or the total address space.
• Features online analysis reports that can be created as PDF or XML files, so that you can view them on workstations or transfer them easily to other applications.

CA SymDump Batch helps you identify and resolve mainframe batch dumps as quickly as possible, promoting increased application stability and reliability.

It provides comprehensive diagnostic information for batch abnormal endings (ABENDs) in the testing and production environments. It generates concise reports to help find and fix application failures in mainframe batch programs before they interfere with your development schedule or affect application performance.

CA SymDump Batch not only provides reports on program failures, but also offers insights into the root cause of the problem along with a suggested course of action. You get the information needed for a swift, informed response that can increase application reliability and help you consistently meet your SLAs.

CA SymDump Batch offers intelligent support for a variety of mainframe databases, comprehensive reporting and other capabilities to enable your enterprise to:

• Quickly trace the flow of unfamiliar code to pinpoint performance problems.
• Debug programs before and during production.