Software Defined Data Infrastructure Essentials Cloud Converged and Virtual Fundamental Server Storage I O Tradecraft 1st edition by Greg Schulz ISBN 1315352427 9781315352428

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ISBN 10: 1315352427
ISBN 13: 9781315352428
Author: Greg Schulz

 Software-Defined Data Infrastructures Essentials provides fundamental coverage of physical, cloud, converged, and virtual server storage I/O networking technologies, trends, tools, techniques, and tradecraft skills. From webscale, software-defined, containers, database, key-value store, cloud, and enterprise to small or medium-size business, the book is filled with techniques, and tips to help develop or refine your server storage I/O hardware, software, and services skills. Whether you are new to data infrastructures or a seasoned pro, you will find this comprehensive reference indispensable for gaining as well as expanding experience with technologies, tools, techniques, and trends. We had a front row seat watching Greg present live in our education workshop seminar sessions for ITC professionals in the Netherlands material that is in this book. We recommend this amazing book to expand your converged and data infrastructure knowledge from beginners to industry veterans. —Gert and Frank Brouwer, Brouwer Storage Consultancy Software-Defined Data Infrastructures Essentials provides the foundational building blocks to improve your craft in serval areas including applications, clouds, legacy, and more. IT professionals, as well as sales professionals and support personnel, stand to gain a great deal by reading this book.—Mark McSherry, Oracle Regional Sales Manager Looking to expand your data infrastructure IQ? From CIOS to operations, sales to engineering, this book is a comprehensive reference, a must read for IT infrastructure professionals, beginners to seasoned experts.—Tom Becchetti, Advisory Systems Engineer Greg Schulz has provided a complete ‘toolkit’ for storage management along with the background and framework for the storage or data infrastructure professional or those aspiring to become one.—Greg Brunton, Experienced Storage and Data Management Professional

Software Defined Data Infrastructure Essentials Cloud Converged and Virtual Fundamental Server Storage I O Tradecraft 1st Table of contents:

Part One: Server Storage I/O, Software-Defined, and Data Infrastructures

Chapter 1: Server Storage I/O and Data Infrastructure Fundamentals
1.1 What You Will Learn in This Chapter
1.2 Getting Started
1.3 What’s the Buzz in and around Servers, Storage, and I/O?

• 1.2.1 Data Infrastructures—How Server Storage I/O Resources Are Used

• 1.2.2 Why Servers Storage and I/O Are Important (Demand Drivers)

• 1.2.3 Data Value
  1.4 Server Storage I/O Past, Present, and Future

• 1.3.1 Where Are We Today? (Balancing Legacy with Emerging)

• 1.3.2 Where Are We Going? (Future Planning, Leveraging Lessons Learned)
  1.5 Server and Storage I/O Tradecraft
  1.6 Fundamental Server and Storage I/O Terminology (Context Matters)
  1.7 What’s in Your Fundamental Toolbox?
  1.8 Common Questions and Tips
  1.9 Learning Experience
  1.10 Chapter Summary

Chapter 2: Application and IT Environments
2.1 What You Will Learn in This Chapter
2.2 Getting Started

• 2.1.1 Tradecraft and Context for the Chapter
  2.3 Everything Is Not the Same with Servers, Storage, and I/O

• 2.2.1 Various Types of Environments (Big and Small)

• 2.2.2 Gaining Data and Application Insight

• 2.2.3 Various Types of Applications

• 2.2.4 Various Types of Data
  2.4 Common Application Characteristics

• 2.3.1 Performance and Activity (How Resources Get Used)

• 2.3.2 Availability (Accessibility, Durability, Consistency)

• 2.3.3 Capacity and Space (What Gets Consumed and Occupied)

• 2.3.4 Economics (People, Budgets, Energy and Other Constraints)
  2.5 Where Applications and Data Get Processed and Reside

• 2.4.1 The Past, Today, and Tomorrow
  2.6 What’s in Your Application Toolbox?
  2.7 Common Questions and Tips
  2.8 Learning Experience
  2.9 Chapter Summary

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Part Two: Server I/O and Networking Deep Dive

Chapter 3: Bits, Bytes, Blobs, and Software-Defined Building Blocks
3.1 What You Will Learn in This Chapter
3.2 Getting Started

• 3.1.1 Tradecraft and Context for the Chapter

• 3.1.2 Removing Object Obstacles: Context Matters
  3.3 Server and Storage I/O Basics

• 3.2.1 From Bits to Bytes, Blocks to Blobs (Server Storage I/O Counting)

• 3.2.2 Where Are My Missing Bytes?

• 3.2.3 Server Memory and Storage Hierarchy
  3.4 How Servers Organize, Access, and Use Storage

• 3.3.1 Resource Tenancy (Sharing vs. Dedicated)

• 3.3.2 Basic Storage Organization (Partitions, LUNs, and Volumes)

• 3.3.3 How Data Gets Written to and Read from a Storage Device
  3.5 Volumes and Volume Managers
  3.6 Files and File Systems

• 3.5.1 Metadata Matters and Management

• 3.5.2 File System and Storage Allocation
  3.7 Cloud, Object, and API-Accessible Storage
  3.8 Cloud Services (Public, Private, Hybrid)

• 3.7.1 Cloud and Object Access
  3.9 What’s in Your Server Storage I/O Toolbox?
  3.10 Common Questions and Tips
  3.11 Learning Experience
  3.12 Chapter Summary

Chapter 4: Servers: Physical, Virtual, Cloud, and Containers
4.1 What You Will Learn in This Chapter
4.2 Getting Started

• 4.1.1 Tradecraft and Context for the Chapter
  4.3 Server Fundamentals

• 4.2.1 Server and I/O Architectures

• 4.2.2 Applications PACE and Defining Your Server
  4.4 Bare-Metal, Physical Machines, and Hosts

• 4.3.1 Fundamental Server Components

• 4.3.2 Server Reliability, Availability, and Serviceability

• 4.3.3 Processors: Sockets, Cores, and Threads

• 4.3.4 Memory Matters

• 4.3.5 I/O and Expansion (Internal and External)

• 4.3.6 PCIe, Including Mini-PCIe, U.2, M.2, and GPU

• 4.3.7 LAN and Storage Ports and Internal Storage
  4.5 Server Packaging and Enclosures

• 4.4.1 Appliances: Converged, Hyper-Converged, and CiB
  4.6 Scaling Servers (Up, Down, and Out)
  4.7 Management Tools and Security
  4.8 Operating Systems
  4.9 Hypervisors and Virtual Server Infrastructures (VSI)

• 4.8.1 Virtual Desktop Infrastructure
  4.10 Containers and Microservices
  4.11 Cloud Machines and Instances
  4.12 Putting the Server Together
  4.13 What’s in Your Server Toolbox?
  4.14 Common Questions and Tips
  4.15 Learning Experience
  4.16 Chapter Summary

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Part Three: Storage Deep Dive and Data Services

Chapter 7: Storage Mediums and Component Devices
7.1 What You Will Learn in This Chapter
7.2 Getting Started

• 7.1.1 Tradecraft and Context for the Chapter
  7.3 Common Storage Device and Media Matters

• 7.2.1 Storage Device Media PACE and Metrics that Matter

• 7.2.2 Packaging, Form Factors, and Interfaces

• 7.2.3 Enclosures
  7.4 Aligning Technology to Application Needs
  7.5 Volatile Memory (DRAM) and Non-Persistent Storage
  7.6 Non-Volatile Memory (NVM) and SSD

• 7.5.1 NVM, Flash, and SSD Fundamentals

• 7.5.2 Flash SSD TRIM and UNMAP Garbage Collection

• 7.5.3 Different Types and Classes of SSD

• 7.5.4 NVM and SSD Considerations
  7.7 Magnetic Hard Disk Drives

• 7.6.1 Types and Classes of HDD

• 7.6.2 HDD Solid-State Hybrid Disk Considerations and Trends
  7.8 Magnetic Tape, Optical, and Removable Media
  7.9 What’s in Your Storage Device Toolbox?
  7.10 Common Questions and Tips
  7.11 Learning Experience
  7.12 Chapter Summary

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Part Four: Putting Software-Defined Data Infrastructures Together

Chapter 13: Data Infrastructure and Software-Defined Management
13.1 What You Will Learn in This Chapter
13.2 Getting Started

• 13.1.1 Management Tradecraft and Tools

• 13.1.2 Data Infrastructure Habitats and Facilities
  13.3 Data Infrastructure Management

• 13.2.1 Troubleshooting, Problem Solving, Remediation, and Repairs

• 13.2.2 Availability, Data Protection, and Security

• 13.2.3 Analytics, Insight, and Awareness (Monitoring and Reporting)
  13.4 Data Infrastructure Decision Making

• 13.3.1 Comparing Data Infrastructure Components and Services

• 13.3.2 Analysis, Benchmark, Comparison, Simulation, and Tests
  13.5 Data Infrastructure Design Considerations
  13.6 Common Questions and Tips
  13.7 Chapter Summary

Chapter 14: Data Infrastructure Deployment Considerations
14.1 What You Will Learn in This Chapter
14.2 Getting Started

• 14.1.1 Deployment Tradecraft and Tools
  14.3 Applications, Tips, and Learning Experiences

• 14.2.1 Software-Defined, Virtual, Containers, and Clouds

• 14.2.2 Microsoft Azure, Hyper-V, Windows, and Other Tools

• 14.2.3 VMware vSphere, vSAN, NSX, and Cloud Foundation

• 14.2.4 Data Databases: Little Data SQL and NoSQL

• 14.2.5 Big Data, Data Ponds, Pools, and Bulk-Content Data Stores
  14.4 Legacy vs. Converged vs. Hyper-Converged vs. Cloud and Containers
  14.5 Common Questions and Tips
  14.6 Chapter Summary

Chapter 15: Software-Defined Data Infrastructure Futures, Wrap-up, and Summary
15.1 What You Will Learn in This Chapter
15.2 Getting Started on the Wrap-up

• 15.1.1 What’s in Your Server Storage I/O Toolbox?

• 15.1.2 Tradecraft and Context Topics
  15.3 People, Process, and Best Practices

• 15.2.1 Skills Development
  15.4 Emerging Topics, Trends, and Predictions
  15.5 Chapter and Book Summary

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Appendices

• Appendix A: Learning Experiences

• Appendix B: Additional Learning, Tools, and Tradecraft Tricks

• Appendix C: Frequently Asked Questions

• Appendix D: Book Shelf and Recommended Reading

• Appendix E: Tools and Technologies Used in Support of This Book

• Appendix F: How to Use This Book for Various Audiences

• Appendix G: Companion Website and Where to Learn More

Glossary
Index

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Tags: Greg Schulz, Software Defined, Virtual Fundamental, Cloud Converged