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📄 Contents

  1. Management Reference Guide
  2. Table of Contents
  3. Introduction
  4. Strategic Management
  5. Establishing Goals, Objectives, and Strategies
  6. Aligning IT Goals with Corporate Business Goals
  7. Utilizing Effective Planning Techniques
  8. Developing Worthwhile Mission Statements
  9. Developing Worthwhile Vision Statements
  10. Instituting Practical Corporate Values
  11. Budgeting Considerations in an IT Environment
  12. Introduction to Conducting an Effective SWOT Analysis
  13. IT Governance and Disaster Recovery, Part One
  14. IT Governance and Disaster Recovery, Part Two
  15. Customer Management
  16. Identifying Key External Customers
  17. Identifying Key Internal Customers
  18. Negotiating with Customers and Suppliers—Part 1: An Introduction
  19. Negotiating With Customers and Suppliers—Part 2: Reaching Agreement
  20. Negotiating and Managing Realistic Customer Expectations
  21. Service Management
  22. Identifying Key Services for Business Users
  23. Service-Level Agreements That Really Work
  24. How IT Evolved into a Service Organization
  25. FAQs About Systems Management (SM)
  26. FAQs About Availability (AV)
  27. FAQs About Performance and Tuning (PT)
  28. FAQs About Service Desk (SD)
  29. FAQs About Change Management (CM)
  30. FAQs About Configuration Management (CF)
  31. FAQs About Capacity Planning (CP)
  32. FAQs About Network Management
  33. FAQs About Storage Management (SM)
  34. FAQs About Production Acceptance (PA)
  35. FAQs About Release Management (RM)
  36. FAQs About Disaster Recovery (DR)
  37. FAQs About Business Continuity (BC)
  38. FAQs About Security (SE)
  39. FAQs About Service Level Management (SL)
  40. FAQs About Financial Management (FN)
  41. FAQs About Problem Management (PM)
  42. FAQs About Facilities Management (FM)
  43. Process Management
  44. Developing Robust Processes
  45. Establishing Mutually Beneficial Process Metrics
  46. Change Management—Part 1
  47. Change Management—Part 2
  48. Change Management—Part 3
  49. Audit Reconnaissance: Releasing Resources Through the IT Audit
  50. Problem Management
  51. Problem Management–Part 2: Process Design
  52. Problem Management–Part 3: Process Implementation
  53. Business Continuity Emergency Communications Plan
  54. Capacity Planning – Part One: Why It is Seldom Done Well
  55. Capacity Planning – Part Two: Developing a Capacity Planning Process
  56. Capacity Planning — Part Three: Benefits and Helpful Tips
  57. Capacity Planning – Part Four: Hidden Upgrade Costs and
  58. Improving Business Process Management, Part 1
  59. Improving Business Process Management, Part 2
  60. 20 Major Elements of Facilities Management
  61. Major Physical Exposures Common to a Data Center
  62. Evaluating the Physical Environment
  63. Nightmare Incidents with Disaster Recovery Plans
  64. Developing a Robust Configuration Management Process
  65. Developing a Robust Configuration Management Process – Part Two
  66. Automating a Robust Infrastructure Process
  67. Improving High Availability — Part One: Definitions and Terms
  68. Improving High Availability — Part Two: Definitions and Terms
  69. Improving High Availability — Part Three: The Seven R's of High Availability
  70. Improving High Availability — Part Four: Assessing an Availability Process
  71. Methods for Brainstorming and Prioritizing Requirements
  72. Introduction to Disk Storage Management — Part One
  73. Storage Management—Part Two: Performance
  74. Storage Management—Part Three: Reliability
  75. Storage Management—Part Four: Recoverability
  76. Twelve Traits of World-Class Infrastructures — Part One
  77. Twelve Traits of World-Class Infrastructures — Part Two
  78. Meeting Today's Cooling Challenges of Data Centers
  79. Strategic Security, Part One: Assessment
  80. Strategic Security, Part Two: Development
  81. Strategic Security, Part Three: Implementation
  82. Strategic Security, Part Four: ITIL Implications
  83. Production Acceptance Part One – Definition and Benefits
  84. Production Acceptance Part Two – Initial Steps
  85. Production Acceptance Part Three – Middle Steps
  86. Production Acceptance Part Four – Ongoing Steps
  87. Case Study: Planning a Service Desk Part One – Objectives
  88. Case Study: Planning a Service Desk Part Two – SWOT
  89. Case Study: Implementing an ITIL Service Desk – Part One
  90. Case Study: Implementing a Service Desk Part Two – Tool Selection
  91. Ethics, Scandals and Legislation
  92. Outsourcing in Response to Legislation
  93. Supplier Management
  94. Identifying Key External Suppliers
  95. Identifying Key Internal Suppliers
  96. Integrating the Four Key Elements of Good Customer Service
  97. Enhancing the Customer/Supplier Matrix
  98. Voice Over IP, Part One — What VoIP Is, and Is Not
  99. Voice Over IP, Part Two — Benefits, Cost Savings and Features of VoIP
  100. Application Management
  101. Production Acceptance
  102. Distinguishing New Applications from New Versions of Existing Applications
  103. Assessing a Production Acceptance Process
  104. Effective Use of a Software Development Life Cycle
  105. The Role of Project Management in SDLC— Part 2
  106. Communication in Project Management – Part One: Barriers to Effective Communication
  107. Communication in Project Management – Part Two: Examples of Effective Communication
  108. Safeguarding Personal Information in the Workplace: A Case Study
  109. Combating the Year-end Budget Blitz—Part 1: Building a Manageable Schedule
  110. Combating the Year-end Budget Blitz—Part 2: Tracking and Reporting Availability
  111. References
  112. Developing an ITIL Feasibility Analysis
  113. Organization and Personnel Management
  114. Optimizing IT Organizational Structures
  115. Factors That Influence Restructuring Decisions
  116. Alternative Locations for the Help Desk
  117. Alternative Locations for Database Administration
  118. Alternative Locations for Network Operations
  119. Alternative Locations for Web Design
  120. Alternative Locations for Risk Management
  121. Alternative Locations for Systems Management
  122. Practical Tips To Retaining Key Personnel
  123. Benefits and Drawbacks of Using IT Consultants and Contractors
  124. Deciding Between the Use of Contractors versus Consultants
  125. Managing Employee Skill Sets and Skill Levels
  126. Assessing Skill Levels of Current Onboard Staff
  127. Recruiting Infrastructure Staff from the Outside
  128. Selecting the Most Qualified Candidate
  129. 7 Tips for Managing the Use of Mobile Devices
  130. Useful Websites for IT Managers
  131. References
  132. Automating Robust Processes
  133. Evaluating Process Documentation — Part One: Quality and Value
  134. Evaluating Process Documentation — Part Two: Benefits and Use of a Quality-Value Matrix
  135. When Should You Integrate or Segregate Service Desks?
  136. Five Instructive Ideas for Interviewing
  137. Eight Surefire Tips to Use When Being Interviewed
  138. 12 Helpful Hints To Make Meetings More Productive
  139. Eight Uncommon Tips To Improve Your Writing
  140. Ten Helpful Tips To Improve Fire Drills
  141. Sorting Out Today’s Various Training Options
  142. Business Ethics and Corporate Scandals – Part 1
  143. Business Ethics and Corporate Scandals – Part 2
  144. 12 Tips for More Effective Emails
  145. Management Communication: Back to the Basics, Part One
  146. Management Communication: Back to the Basics, Part Two
  147. Management Communication: Back to the Basics, Part Three
  148. Asset Management
  149. Managing Hardware Inventories
  150. Introduction to Hardware Inventories
  151. Processes To Manage Hardware Inventories
  152. Use of a Hardware Inventory Database
  153. References
  154. Managing Software Inventories
  155. Business Continuity Management
  156. Ten Lessons Learned from Real-Life Disasters
  157. Ten Lessons Learned From Real-Life Disasters, Part 2
  158. Differences Between Disaster Recovery and Business Continuity , Part 1
  159. Differences Between Disaster Recovery and Business Continuity , Part 2
  160. 15 Common Terms and Definitions of Business Continuity
  161. The Federal Government’s Role in Disaster Recovery
  162. The 12 Common Mistakes That Cause BIAs To Fail—Part 1
  163. The 12 Common Mistakes That Cause BIAs To Fail—Part 2
  164. The 12 Common Mistakes That Cause BIAs To Fail—Part 3
  165. The 12 Common Mistakes That Cause BIAs To Fail—Part 4
  166. Conducting an Effective Table Top Exercise (TTE) — Part 1
  167. Conducting an Effective Table Top Exercise (TTE) — Part 2
  168. Conducting an Effective Table Top Exercise (TTE) — Part 3
  169. Conducting an Effective Table Top Exercise (TTE) — Part 4
  170. The 13 Cardinal Steps for Implementing a Business Continuity Program — Part One
  171. The 13 Cardinal Steps for Implementing a Business Continuity Program — Part Two
  172. The 13 Cardinal Steps for Implementing a Business Continuity Program — Part Three
  173. The 13 Cardinal Steps for Implementing a Business Continuity Program — Part Four
  174. The Information Technology Infrastructure Library (ITIL)
  175. The Origins of ITIL
  176. The Foundation of ITIL: Service Management
  177. Five Reasons for Revising ITIL
  178. The Relationship of Service Delivery and Service Support to All of ITIL
  179. Ten Common Myths About Implementing ITIL, Part One
  180. Ten Common Myths About Implementing ITIL, Part Two
  181. Characteristics of ITIL Version 3
  182. Ten Benefits of itSMF and its IIL Pocket Guide
  183. Translating the Goals of the ITIL Service Delivery Processes
  184. Translating the Goals of the ITIL Service Support Processes
  185. Elements of ITIL Least Understood, Part One: Service Delivery Processes
  186. Case Study: Recovery Reactions to a Renegade Rodent
  187. Elements of ITIL Least Understood, Part Two: Service Support
  188. Case Studies
  189. Case Study — Preparing for Hurricane Charley
  190. Case Study — The Linux Decision
  191. Case Study — Production Acceptance at an Aerospace Firm
  192. Case Study — Production Acceptance at a Defense Contractor
  193. Case Study — Evaluating Mainframe Processes
  194. Case Study — Evaluating Recovery Sites, Part One: Quantitative Comparisons/Natural Disasters
  195. Case Study — Evaluating Recovery Sites, Part Two: Quantitative Comparisons/Man-made Disasters
  196. Case Study — Evaluating Recovery Sites, Part Three: Qualitative Comparisons
  197. Case Study — Evaluating Recovery Sites, Part Four: Take-Aways
  198. Disaster Recovery Test Case Study Part One: Planning
  199. Disaster Recovery Test Case Study Part Two: Planning and Walk-Through
  200. Disaster Recovery Test Case Study Part Three: Execution
  201. Disaster Recovery Test Case Study Part Four: Follow-Up
  202. Assessing the Robustness of a Vendor’s Data Center, Part One: Qualitative Measures
  203. Assessing the Robustness of a Vendor’s Data Center, Part Two: Quantitative Measures
  204. Case Study: Lessons Learned from a World-Wide Disaster Recovery Exercise, Part One: What Did the Team Do Well
  205. (d) Case Study: Lessons Learned from a World-Wide Disaster Recovery Exercise, Part Two

Achieving high availability does not happen by accident. Careful planning, clever design, flawless execution and reliable support are just some of the characteristics required to keep critical systems up and operating for months on end. In this third segment of my four-part series on improving high availability, I describe several characteristics I believe are essential for achieving maximum availability. I refer to these attributes as the Seven R's of High Availability.

The Seven Rs of High Availability

The goal of all availability process owners is to maximize the uptime of the various online systems for which they are responsible—in essence, to make them completely fault tolerant. Constraints inside and outside the IT environment make this challenge close to impossible. Budget limitations, component failures, faulty code, human error, flawed design, natural disasters, and unforeseen business shifts such as mergers, downturns, and political changes are just some of the factors working against that elusive goal of 100% availability —the ultimate expression of high availability.

There are several approaches that can be taken to maximize availability without breaking the budget bank. Each of these approaches start with the same letter, so we refer to them as the seven Rs of high availability (see Figure 9).

Figure 09

Figure 9. The Seven Rs of High Availability

Let's begin with redundancy. Manufacturers have been designing this into their products for years in the form of redundant power supplies, multiple processors, segmented memory, and redundant disks. This can also refer to entire server systems running in a hot standby mode. Infrastructure analysts can take a similar approach by configuring disk and tape controllers, and servers with dual paths, splitting network loads over dual lines, and providing alternate control consoles—in short, eliminate as much as possible any single points of failure that could disrupt service availability.

The next three approaches—reputation, reliability, and repairability—are closely related. Reputation refers to the track record of key suppliers. Reliability pertains to the dependability of the components and the coding that go into their products. Repairability is a measure of how quickly and easily suppliers can fix or replace failing parts. We will look at each of these a bit more closely.

The reputation of key suppliers of servers, disk storage systems, database management systems, and network hardware and software plays a principle role in striving for high availability. It is always best to go with the best. Reputations can be verified in several ways. Percent of market share is one measure. Reports from industry analysts and Wall Street are another. Track record in the field is a third. Customer references can be especially useful when it comes to confirming such factors as cost, service, quality of the product, training of service personnel, and trustworthiness.

The reliability of the hardware and software can also be verified from customer references and industry analysts. Beyond that, you should consider performing what we call an empirical component reliability analysis. Figure 2 lists the steps to perform to accomplish this. An analysis of problem logs should reveal any unusual patterns of failure and should be studied by supplier, product, using department, time and day of failures, frequency of failures, and time to repair. Suppliers often keep onsite repair logs that can be perused to conduct a similar analysis.

Figure 10

Figure 10. Empirical Methods for Component Reliability Analysis

Feedback from operations personnel can often be candid and revealing as to how components are truly performing. This can especially be the case for offsite operators. For example, they may be doing numerous resets on a particular network component every morning prior to start-up, but they may not bother to log it since it always comes up. Similar conversations with various support personnel such as systems administrators, network administrators, and database administrators may solicit similar revelations. You might think that feedback from repair personnel from suppliers could be biased, but in my experience they can be just as candid and revealing about the true reliability of their products as the people using them. This then becomes another valuable source of information for evaluating component reliability, as is comparing experiences with other shops. Shops that are closely aligned with your own in terms of platforms, configurations, services offered, and customers can be especially helpful. Reports from reputable industry analysts can also be used to predict component reliability.

Repairability is the relative ease with which service technicians can resolve or replace failing components. Two common metrics used to evaluate this trait are how long it takes to do the actual repair and how often the repair work needs to be repeated. In more sophisticated systems, this can be done from remote diagnostic centers where failures are detected and circumvented, and arrangements are made for permanent resolution with little or no involvement of operations personnel.

The next characteristic of high availability is recoverability. This refers to the ability to overcome a momentary failure in such a way that there is no impact on end-user availability. It could be as small as a portion of main memory recovering from a single-bit memory error, and as large as having an entire server system switch over to its standby system with no loss of data or transactions. Recoverability also includes retries of attempted reads and writes out to disk or tape, as well as the retrying of transmissions down network lines.

Responsiveness is the sense of urgency all people involved with high availability need to exhibit. This includes having well-trained suppliers and in-house support personnel who can respond to problems quickly and efficiently. It also pertains to how quickly the automated recovery of resources such as disks or servers can be enacted.

The final characteristic of high availability is robustness, which describes the overall design of the availability process. A robust process will be able to withstand a variety of forces—both internal and external—that could easily disrupt and undermine availability in a weaker environment. Robustness puts a high premium on documentation and training to withstand technical changes as they relate to platforms, products, services, and customers; personnel changes as they relate to turnover, expansion, and rotation; and business changes as they relate to new direction, acquisitions, and mergers.

In part four of this series I will discuss techniques for assessing and measuring the quality and robustness of an infrastructure's availability process.

References

Schiesser, Rich, IT Systems Management, Prentice Hall, 200

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