1. Global Capabilities Archiving – Designing from Top to Bottom Gary Brown Dimension Data

2. Dimension Data version 1.2 2 Agenda ▲ Background – Who is this guy? ▲ Archiving – What is it? ▲ What’s driving archiving? ▲ Benefits of archiving ▲ Holistic approach to archiving ▲ Additional benefits to archiving ▲ Case study ▲ Questions & Comments

3. Dimension Data version 1.2 3 Background ▲ Dimension Data ▲Founded in 1983, we are a $2.5 Billion company with 9,000 employees operating in 30 countries ▲We plan, build and manage technology infrastructures for organization to support their business ▲ Gary Brown ▲21 Years in IT ▲Architect and Consultant ▲Provides Storage Roadmaps for many companies ▲Quoted and soon to be published in Storage Magazine ▲NC Resident

4. Dimension Data version 1.2 4 Archiving Definition ▲ Function: noun A place in which public records or historical documents are preserved; also the material preserved ▲ Function: transitive verb To file or collect (as records or documents) in or as if in an archive Source: Merriam-Webster Online Dictionary

5. Dimension Data version 1.2 5 What is driving archiving? Recover y Performance Growth Business Policies Regulations Total Cost of Ownership TCO

6. Dimension Data version 1.2 6 The Data Rule For Every Byte of online storage that is added considerations must be made for: Backup Recovery Replication (Local and Remote) Disaster Recovery What is driving archiving? (Growth)

7. Dimension Data version 1.2 7 What is driving archiving? (Growth) Unstructured Data Growth Email Images PDFs Assignments Medical Forms Paper Docs 80% of enterprise and government content is unstructured today (Enterprise Storage Group)

8. Dimension Data version 1.2 8 What is driving archiving? (Regulations) Factoids More than 10,000 Regulation in the US alone Depth Narrow – Certain Records Depth Broad – Every Application Trend More records created More records retained More risk

9. Dimension Data version 1.2 9 Benefits of archiving ▲ Compliance - Audit ▲ Business policies ▲ Specific data retention ▲ Protection needs ▲ Disaster Recovery ▲ Performance – Offload Systems ▲ Cost/staffing levels

10. Dimension Data version 1.2 10 Information Lifecycle Management (ILM) Protect / Replicate Create and Catalogue Business Requirements Archive Migrate / Optimize Disposal Access

11. Dimension Data version 1.2 11 Holistic Approach Archiving Requirements Student Admission Human Resources FinanceE-Mail / Groupware MedicalBlackboard Legal / Compliance Growth Business Policies

12. Dimension Data version 1.2 12 Holistic Approach-Rules Archiving Requirements Student Admission Human Resources FinanceE-Mail / Groupware MedicalBlackboard Legal / Compliance Growth Business Policies Data Must Move to Archive without manual intervention End-User must not have to access archived data with additional steps Archive Rules: Store, Index, Search, Retrieve, Audit, Dispose

13. Dimension Data version 1.2 13 Archiving Requirements Student Admission Human Resources FinanceE-Mail / Groupware MedicalBlackboard Legal / Compliance Growth Business Policies Holistic Approach-Products

14. Dimension Data version 1.2 14 Example Conceptual Diagram EMC Centera Archive Store email Peoplesoft Blackboard Medicat Peoplesoft Archive Server

15. Dimension Data version 1.2 15 Additional Benefits ▲ Reduction in online storage ▲Files (75%) ▲Email (80%) ▲Databases (30%) ▲ Pipes, Pump and Tanks ▲Pipes = Network (IP and SAN) ▲Pumps = (Servers) ▲Tanks = (Disk, Tape, Optical, NAS, CAS) ▲ Additional Benefits ▲Reduction in most expensive storage ▲Reduction in networking required (backup) ▲Reduction in processing power required ▲Faster Recovery for DR, BC and local ▲Enables Replication ▲Reduction in backup window

16. Dimension Data version 1.2 16 Case Study – email only ▲ Background ▲15,000 user email environment ▲4 large Servers supporting ▲8 TB of email ▲80% not accessed in last 30 days ▲Mostly attachments ▲Backups 10 drives (LTO) took 40 hours ▲Restores…don’t even think about it ▲DR…virtually impossible ▲ Solution ▲Email archiving package (server, software and CAS)

17. Dimension Data version 1.2 17 Case Study – Results 50% Reduction 50% Reduction 80% Reduction 80% Reduction RecoveryDisaster Recovery Audit

18. Dimension Data version 1.2 18 Questions & Comments?