Storage Infrastructure Optimization (SIO)

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Transcription:

Name Storage Infrastructure Optimization (SIO) Title: Improve Operational Flexibility and Reduce Cost Vishal Maheshwari Tivoli Storage Leader India/South Asia

2 Agenda

The Information Explosion Creates a Value Gap Storage requirement growth outpaces storage budget growth Data is doubling every 18 months Storage budgets are not Closing the gap is essential Data Required Budget Requirement: Take Control of Data Growth and Storage Efficiency through Optimization Value Gap to properly support the growth in requirements, the following would also need to increase: Cap ex acquisition costs of new technology to support growing data needs Focus now, or gap continues to get wider Time Actual Budget Op ex with additional technology acquisitions, comes increased maintenance costs: Energy costs # of people managing Space 3

Does this sound familiar? I need to reduce costs, improve performance and increase IT flexibility We are experiencing explosive information growth! We need to deliver more business value from our IT investment My data is not adequately protected I want to maintain access to information only throughout its useful life 4

What is IBM s Storage Infrastructure Optimization offering? Solution definition A comprehensive, IBM developed, program that quickly analyzes your storage infrastructure and provides recommendations to reduce the cost to store, access, and manage your company data SIO will discover and review: Current storage processes Storage systems installed Current utilization rates Staffing levels Recommendations are based on: IBM developed best practices Industry benchmark data 5

What is IBM s Storage Infrastructure Optimization offering? Value of Data Low Medium High Jun Jun k E-Mail, Spreadsheets, Management reports, other other useful useful stuff stuff CRM data Billing information R&D Low Medium Cost of Infrastructure High

What is IBM s Storage Infrastructure Optimization offering? Value of Data Low Medium High Jun k Jun E-Mail, Spreadsheets, Management reports, other other useful useful stuff stuff CRM data Billing information R&D CRM data Billing information R&D WASTE Jun Jun k Low Medium Cost of Infrastructure High

What is IBM s Storage Infrastructure Optimization offering? Value of Data Low Medium High RISK E-Mail, Spreadsheets, Management reports, other other useful useful stuff stuff Jun Jun k CRM data Billing information R&D CRM data Billing information R&D Jun Jun k Low Medium Cost of Infrastructure High

What is IBM s Storage Infrastructure Optimization offering? Achieving & Maintaining Optimization Value of Data Low Medium High Alignment Green Channel Back-up Data at Tape rest ProtecTier RISK Archive Info Archive DR550 Mid-Range XIV, DS300, Increasing Data Value V7000, Enterprise Data in Creation Motion Low Medium High XIV Gen3, DS8800, SVC, SONAS Software Management WASTE Decreasing Data Value Cost of Infrastructure

Essential technologies enable storage efficiency and optimize performance Stop storing so much Data Compression Data Deduplication Move data to the right place Automated Tiering Automated Data Migration Store more with what s on the floor Storage Virtualization Thin Provisioning Establish governance for enterprise data Information Lifecycle Management Data Protection 10

What you can expect from the assessment and solution Implement proven technologies and realize savings in the following areas Storage Virtualization Offload both local and remote replicas from expensive disk to low cost alternatives Thin Provisioning Allows for better utilization of historically underutilized capacity Data Deduplication Removes multiple instances of the same data Cloud Storage Provides simplified access to data and frees IT staff to focus on core business Storage Service Catalog Prevents wasteful provisioning practices such as assignment of unnecessary replicas and excess primary storage Data Archiving Removes outdated records to make better use of assigned storage Content Expiration Purge unneeded data Advanced Storage Reporting Facilitates the reuse of existing capacity, reducing purchasing requirements, power consumption and floorspace sprawl Realize savings on: Storage Costs Power Costs Floorspace Costs Operational Costs Tape Costs Array Maintenance Costs 11

Using IBM Storage as a Service, Client XXX will reduce storage requirements that will also result in a significant reduction in the data storage footprint. Sample 45,000 TB 40,000 TB 35,000 TB 30,000 TB 25,000 TB 20,000 TB 15,000 TB 10,000 TB 5,000 TB 0 TB BAU Disk Stg Growth (Net Storage excludes Remote Copy) 1 Yr 2 yrs 3 yrs 4 yrs 5 yrs Start of Year Stg New Disk Stg 45,000 TB 40,000 TB 35,000 TB 30,000 TB 25,000 TB 20,000 TB 15,000 TB 10,000 TB 5,000 TB New Solution Disk Stg Growth (Net Storage excludes Remote Copy) Achieving these results assumes: Effective systems management process are employed (e.g. ITIL, CobiT) More effective utilization is achieved through virtualization and thin-provisioning Reclaim storage by utilizing more effective data content management techniques (TSPC for Data) 0 TB 1 Yr 2 yrs 3 yrs 4 yrs 5 yrs Start of Year Stg New Disk Stg Sample Deliverable From Another Client 12

Dramatic reduction in power and floor space is also possible Sample Optimized solution reduces existing footprint = less power and floor space required Extend the life of existing datacenters via smarter technology and processes Increased utilization and reduced growth rate allows for leveling of power and floor space requirements $ 3,000,000 $ 2,500,000 $ 2,000,000 $ 1,500,000 $ 1,000,000 $ 500,000 $ 0 Annual Power Costs Current 1 Yr 2 yrs 3 yrs 4 yrs 5 yrs 6 yrs 7 yrs Stg Business as Usual New Environment Annual Storage Power Savings New Environment vs. Business as Usual 4,000,000.0 3,500,000.0 3,000,000.0 2,500,000.0 2,000,000.0 1,500,000.0 1,000,000.0 500,000.0 0.0 Current Stg Annual Cost Savings 1 Yr 2 yrs 3 yrs 4 yrs 5 yrs 6 yrs 7 yrs Cumulative Cost Savings 25,000 K-kWh 20,000 K-kWh 15,000 K-kWh 10,000 K-kWh 5,000 K-kWh 0 K-kWh 6,000 sq-ft 5,000 sq-ft 4,000 sq-ft 3,000 sq-ft 2,000 sq-ft 1,000 sq-ft 0 sq-ft Annual Power Consumption Current 1 Yr 2 yrs 3 yrs 4 yrs 5 yrs 6 yrs 7 yrs Stg Business as Usual New Environment Facilities Storage Space Cumulative Area Current 1 Yr 2 yrs 3 yrs 4 yrs 5 yrs 6 yrs 7 yrs Business as Usual New Environment Optimization will reduce power by 64% and floor space by 68% over BAU 13

Trapped Storage Prioritisation Planning 277TB Trapped Cost - Categories Orphaned Storage Orphaned Uninstrumented Category Description Recoverable TB's Complexity Time to Free Up (1-10) Storage configured to servers but not picked up on the host side. Could be a server that was removed, but with volumes that weren't unmasked or a server on which the storage hasn't been picked upon scanning the bus. 81 Days 3 Storage that may or may not be orphaned. This is caused by SRM agents not being properly rolled out or discovery not being completed. 64 Days/Weeks 5 Reclaimable Storage Storage presented to a server but not in a volume group 79 Days 3 Mapped Storage mapped down an FA/front end channel port, but not masked to a host 117 Days 2 Storage configured but with marginal usage at the host/file Storage Utilisation less than 10% - Server view system level. 65 Weeks/Months 8 Top 3 Bank - 1PB Sample 16% Storage Utilisation less than 10% - Server view 20% Orphaned Storage 29% Mapped 19% Reclaimable Storage 16% Orphaned Uninstrumented Sample Source: Customer interviews 14

What are we trying to help you achieve Improve customer service Documented, measurable, predictable storage service levels Mapping of storage initiatives to standards Business aligned storage solutions Mitigate risk Data protection Proactive, non-disruptive compliance Manage costs Leverage infrastructure investments, efficiency of assets Operational expenses aligned with capital expenses Remove complexity Service standardization Process efficiency Common technology platforms 15

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