Introduction and Implementation of Data Reduction Pools and Deduplication

Book Description

Abstract

Continuing its commitment to developing and delivering industry-leading storage technologies, IBM® introduces Data Reduction Pools (DRP) and Deduplication powered by IBM Spectrum™ Virtualize, which are innovative storage features that deliver essential storage efficiency technologies and exceptional ease of use and performance, all integrated into a proven design.
This book discusses Data Reduction Pools (DRP) and Deduplication and is intended for experienced storage administrators who are fully familiar with IBM Spectrum Virtualize, SAN Volume Controller, and the Storwize family of products.

Table of Contents

  1. Front cover
  2. Notices
    1. Trademarks
  3. Preface
    1. Authors
    2. Now you can become a published author, too
    3. Comments welcome
    4. Stay connected to IBM Redbooks
  4. Chapter 1. Architecture
    1. 1.1 What Data Reduction Pools are
      1. 1.1.1 DRP Volume types
      2. 1.1.2 What is in a Data Reduction Pool
      3. 1.1.3 Allocation block size
    2. 1.2 RACE versus DRP
      1. 1.2.1 Benefits
    3. 1.3 Data Reduction Pools and unmap
    4. 1.4 Data Reduction Pools with Easy Tier
    5. 1.5 Garbage collection
    6. 1.6 Data Reduction Pools with deduplication
  5. Chapter 2. Planning
    1. 2.1 Data Reduction Pools benefits
    2. 2.2 Planning considerations
      1. 2.2.1 Data Reduction Pool characteristics
      2. 2.2.2 Migration
      3. 2.2.3 Limits
      4. 2.2.4 Compression support
  6. Chapter 3. Implementation
    1. 3.1 About data reduction
    2. 3.2 Creating Data Reduction Pools
    3. 3.3 Creating volumes in Data Reduction Pools
    4. 3.4 Volume migration
  7. Chapter 4. Estimator and sizing tools
    1. 4.1 Evaluate compression savings using comprestimator
    2. 4.2 Evaluating workload using Data Reduction Estimator Tool
    3. 4.3 Evaluating workload using Disk Magic
  8. Chapter 5. Best practices and guidelines
    1. 5.1 RACE and DRP overview
      1. 5.1.1 DRP performance benefits
      2. 5.1.2 DRP performance improvements
      3. 5.1.3 Garbage collection
      4. 5.1.4 Inter-node ports
      5. 5.1.5 SVC with Storwize family back-end controllers
      6. 5.1.6 SVC with external back-end controllers
      7. 5.1.7 Storwize family with external back-end controllers
    2. 5.2 When to use DRP Compression
      1. 5.2.1 When to use DRP deduplication
    3. 5.3 Performance monitoring
      1. 5.3.1 Total port data rate by port
      2. 5.3.2 Total SVC node data rate
  9. Chapter 6. Troubleshooting
    1. 6.1 Troubleshooting and fix procedures
      1. 6.1.1 Managing event log
      2. 6.1.2 Running a fix procedure
      3. 6.1.3 Event log details
    2. 6.2 SVC Event Log Definitions for DRP
      1. 6.2.1 Event ID 060001
      2. 6.2.2 Event ID 060002
      3. 6.2.3 Event ID 060003
      4. 6.2.4 Event ID 060004
      5. 6.2.5 Event ID 060005
      6. 6.2.6 Event ID 060006
      7. 6.2.7 Event ID 060007
      8. 6.2.8 Event ID 060008
      9. 6.2.9 Event ID 060009
      10. 6.2.10 Event ID 060010
      11. 6.2.11 Event ID 060011
      12. 6.2.12 Event ID 986001
      13. 6.2.13 Event ID 986002
      14. 6.2.14 Event ID 986010
      15. 6.2.15 Event ID 986011
      16. 6.2.16 Event ID 986020
      17. 6.2.17 Event ID 986030
      18. 6.2.18 Event ID 986031
      19. 6.2.19 Event ID 986032
      20. 6.2.20 Event ID 986033
      21. 6.2.21 Event ID 986034
      22. 6.2.22 Event ID 986035
      23. 6.2.23 Event ID 986036
      24. 6.2.24 Event ID 986037
      25. 6.2.25 Event ID 986038
      26. 6.2.26 Event ID 986039
      27. 6.2.27 Event ID 986040
      28. 6.2.28 Event ID 986105
      29. 6.2.29 Event ID 986106
      30. 6.2.30 Event ID 986107
    3. 6.3 Monitoring
      1. 6.3.1 Email notifications and the Call Home function
      2. 6.3.2 Remote Support Assistance
      3. 6.3.3 SNMP configuration
      4. 6.3.4 Syslog notifications
    4. 6.4 Audit log
    5. 6.5 Collecting support information using the GUI and the CLI
      1. 6.5.1 Collecting information using the GUI
      2. 6.5.2 Collecting logs using the CLI
      3. 6.5.3 Uploading files to the Support Center
    6. 6.6 Error codes
      1. 6.6.1 Error code CMMVC7210E
      2. 6.6.2 Error code CMMVC8696E
      3. 6.6.3 Error code CMMVC9173E
      4. 6.6.4 Error code CMMVC9175E
      5. 6.6.5 Error code CMMVC9176E
      6. 6.6.6 Error code CMMVC9235E
      7. 6.6.7 Error code CMMVC9236E
      8. 6.6.8 Error code CMMVC9247E
      9. 6.6.9 Error code CMMVC9245E
      10. 6.6.10 Error code CMMVC9246E
      11. 6.6.11 Error code CMMVC9177E
      12. 6.6.12 Error code CMMVC9250E
      13. 6.6.13 Error code CMMVC9248E
      14. 6.6.14 Error code CMMVC9184E
      15. 6.6.15 Error code CMMVC9237E
      16. 6.6.16 Error code CMMVC9238E
      17. 6.6.17 Error code CMMVC9185E
      18. 6.6.18 Error code CMMVC9186E
      19. 6.6.19 Error code CMMVC9179E
      20. 6.6.20 Error code CMMVC9180E
      21. 6.6.21 Error code CMMVC9181E
      22. 6.6.22 Error code CMMVC9249E
      23. 6.6.23 Error code CMMVC9190E
      24. 6.6.24 Error code CMMVC9253E
      25. 6.6.25 Error code CMMVC9242E
      26. 6.6.26 Error code CMMVC9241E
      27. 6.6.27 Error code CMMVC9185E
      28. 6.6.28 Error code CMMVC5772E
      29. 6.6.29 Error code CMMVC9296E
      30. 6.6.30 Error code CMMVC9185E
      31. 6.6.31 Error code CMMVC9277E
      32. 6.6.32 Error code CMMVC9265E
      33. 6.6.33 Error code CMMVC9262E
      34. 6.6.34 Error code CMMVC9252E
      35. 6.6.35 Error code CMMVC9286E
      36. 6.6.36 Error code CMMVC9285E
      37. 6.6.37 Error code CMMVC9283E
      38. 6.6.38 Error code CMMVC9284E
      39. 6.6.39 Error code CMMVC8710E
      40. 6.6.40 Error code CMMVC9185E
      41. 6.6.41 Error code CMMVC9186E
      42. 6.6.42 Error code CMMVC9287E
      43. 6.6.43 Error code CMMVC9288E
  10. Related publications
    1. Help from IBM
  11. Back cover

Product Information

  • Title: Introduction and Implementation of Data Reduction Pools and Deduplication
  • Author(s): Dionysios Kalofonos Jon Tate Carsten Larsen, Atif Syed, Kendall Williams
  • Release date: November 2018
  • Publisher(s): IBM Redbooks
  • ISBN: 9780738457314