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A quick tour of Autonomic Computing

Daniel Worden, Author
Daniel Worden, a Studio B author, got his first root password in 1984. He has been installing, de-installing, configuring, testing, and breaking applications since that time as both a sys admin and manager of systems administration services. In 1996, he led a team that developed in-house a consolidated Web reporting tool for several dozen corporate databases. His Server Troubleshooting, Administration & Remote Support (STARS) team have been working with IBM as partners since 1998. His next book - Storage Networks From the Ground Up is available from Apress in April 2004. He can be reached at dworden@worden.net.
Nicholas Chase, Author
Nicholas Chase, a Studio B author, has been involved in Web site development for companies such as Lucent Technologies, Sun Microsystems, Oracle, and the Tampa Bay Buccaneers. Nick has been a high school physics teacher, a low-level radioactive waste facility manager, an online science fiction magazine editor, a multimedia engineer, and an Oracle instructor. More recently, he was the Chief Technology Officer of an interactive communications company in Clearwater, Florida, and is the author of five books, including XML Primer Plus (Sams ). He loves to hear from readers and can be reached at nicholas@nicholaschase.com.

Summary:  Autonomic computing architecture is a range of software technologies that enable you to build an information infrastructure that can, to lesser and greater degrees, manage itself, saving countless hours (and dollars) in human management. And all this without giving up control of the system. This tutorial explains the concepts behind autonomic computing and looks at the tools at your disposal for making it happen - today.

Date:  07 Apr 2004
Level:  Introductory
PDF:  A4 and Letter (263 KB | 31 pages)Get Adobe® Reader®

Activity:  16124 views
Comments:  

Before you start

About this tutorial

This tutorial explains the general concepts behind autonomic computing architectures, including control loops and autonomic-managed resources. It also discusses the various tools that are currently available within the IBM Autonomic Computing Toolkit, providing a concrete look at some of the tasks you can accomplish with it.

The tutorial covers:

  • Autonomic computing concepts
  • Contents of the IBM Autonomic Computing Toolkit
  • Installing applications using solution installation and deployment technologies
  • Application administration using the Integrated Solutions Console
  • Problem determination using the Generic Log Adapter and the Log and Trace Analyzer
  • A brief look at Common Base Events
  • Autonomic management using the Autonomic Management Engine (AME)
  • AME Resource Models and a brief look at programming using AME

When you have completed this tutorial, you should feel comfortable looking further into any of these topics, while understanding their place in the autonomic computing infrastructure.

This tutorial is for developers who not only want to understand the concepts behind autonomic computing architectures, but who also want begin implementing autonomic computing solutions in their applications with the help of the IBM Autonomic Computing Toolkit.

Although this tutorial is aimed at developers, no actual programming is required in order to get the full value from it. When present, code samples are shown using the Java language, but an in-depth understanding of the code is not required to gain insight into the concepts they illustrate.

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Prerequisites

This tutorial doesn't actually require you to install any tools, but it does look at the following autonomic computing bundles, available from developerWorks at: http://www.ibm.com/developerworks/autonomic/probdet1.html.

  • Autonomic Management Engine
  • Resource Model Builder
  • Integrated Solutions Console
  • Solution installation and deployment scenarios
  • Generic Log Adapter and Log and Trace Analyzer Tooling
  • Generic Log Adapter Runtime and Rule Sets
  • Problem Determination Scenario
  • Eclipse Tooling

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TutorialTitle=A quick tour of Autonomic Computing
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