1. Identifying and Gathering Problem Data Company Name 1 |Copyright © Interskill Learning Pty Ltd 2011 – Commercial in Confidence Identifying z/OS System Problems 55 minutes 1 hour PowerPoint Identifying and Gathering Problem Data = Datatrain Course Modules Categorizing Problems Working with the Catalog Address Space Preparing for Dumps Obtaining SVC Dumps for Problem Analysis 1 hour

2. Presentation Topics System recovery facilities How do we use catalogs? Dumps 2 |Copyright © Interskill Learning Pty Ltd 2011 – Commercial in Confidence

3. What system recovery facilities do we use? Facilities that we use. What will alert us to a system problem? Commands we use to obtain useful problem-related information. 3 |Copyright © Interskill Learning Pty Ltd 2011 – Commercial in Confidence

4. System recovery real-life scenarios Waits, hangs and loops. Other system issues. 4 |Copyright © Interskill Learning Pty Ltd 2011 – Commercial in Confidence

5. Do we use an AUTOIPL policy? Indications that we use AUTOIPL. Scenarios where AUTOIPL has been used. 5 |Copyright © Interskill Learning Pty Ltd 2011 – Commercial in Confidence

6. Master and user catalogs What type of catalog structure do we have? What involvement will you have with catalogs? 6 |Copyright © Interskill Learning Pty Ltd 2011 – Commercial in Confidence

7. Problems we have encountered with catalogs Real-life scenarios. 7 |Copyright © Interskill Learning Pty Ltd 2011 – Commercial in Confidence

8. What types of dumps do we produce? Situations in which we do/have created dumps. Dump procedures. What do we do with dump data? 8 |Copyright © Interskill Learning Pty Ltd 2011 – Commercial in Confidence

9. Problems with dumps What dump-related problems have we encountered? What was the resolution to the problem? 9 |Copyright © Interskill Learning Pty Ltd 2011 – Commercial in Confidence

10. Summary System recovery facilities How do we use catalogs? Dumps 10 |Copyright © Interskill Learning Pty Ltd 2011 – Commercial in Confidence Identifying z/OS System Problems 55 minutes 1 hour PowerPoint Identifying and Gathering Problem Data = Datatrain Course Modules Categorizing Problems Working with the Catalog Address Space Preparing for Dumps Obtaining SVC Dumps for Problem Analysis 1 hour