Trends & Challenges for "Mission-Critical" Data Center Technology
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Trends & Challenges for
“Mission-Critical” Data Center
Technology
Andrew Butler
This presentation, including any supporting materials, is owned by Gartner, Inc. and/or its affiliates and is for the sole use of the intended Gartner audience or other intended recipients. This presentation may
contain information that is confidential, proprietary or otherwise legally protected, and it may not be further copied, distributed or publicly displayed without the express written permission of Gartner, Inc. or its affiliates.
© 2015 Gartner, Inc. and/or its affiliates. All rights reserved.
We May be in the Fourth Generation
of Computing, With More to Come
Gen. 1 Gen. 2 Gen. 3 Gen. 4 Gen. 5....
Mainframe Minicomputers PCs Mobile Tomorrow?
and Unix and Cloud
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But Enterprise IT is in It’s Third Era
We Are
Here
IT Craftsmanship IT Industrialization Digitalization
ADOPT IDEATE
MONETIZE CREATE
OFFER ENGAGE
Focus Technology Processes Business Models
Programming, System IT Management,
Capabilities Management Service Management
Digital Leadership
Treat Colleagues as
Isolated, Disengaged Treat Colleagues as
Customers,
Engagement Internally and
Unengaged With
Partners, Engage
Externally External Customers
External Customers
Sporadic Automation Services and Digital Business
Outputs and
and Innovation, Solutions, Efficiency Innovation, New
Outcomes Frequent Issues and Effectiveness Types of Value
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Bimodal IT means —
having two modes of IT, each designed
to address different information and
technology goals:
Mode 1 Mode 2
is traditional is exploratory
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What Does Bimodal IT Mean?
Mode 2
Exploratory Systems of
+ and nonlinear, Innovation -
Governance
emphasizing
Change
agility and Systems of
Traditional speed. Differentiation
and sequential,
emphasizing
stability, safety, Systems of
- accuracy. Record +
Mode 1
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So What Does “Mode Two” Look Like?
Data Center Modernization: Mode 1
Servers Storage Workloads
Integrated
Systems
People
Facilities
Cloud Virtualization
Organizations
Infrastructure Agility: Mode 2
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Bi-Modal IT Changes Everything in the Data Center -
Not Everyone Will be Ready
Storage Servers Networks
Operations Data Centers Software
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How do You Visualize Data Center Demand?
If a grain of sand =
1 byte
1 Byte 5 Mb 1 Pb 7.5 Exabytes
Global Data Center IP traffic (per month)
2013 2018
34 x 95 x
255 Exabyte per month1 715 Exabyte per month1
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1 - http://www.cisco.com/c/en/us/solutions/collateral/service-provider/global-cloud-index-gci/Cloud_Index_White_Paper.html
Relentless Demand
50% Server Workloads: 10% AAGR
Network Bandwidth: 35% AAGR
Storage Capacity: 50% AAGR
Power Costs: 20% AAGR
I/O Traffic: 75% AAGR
0%
Annual Average Growth Rate
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The New Scale of IT
Scale Data Center Infrastructure Consequences on
Data Centers
Social Change
Servers1(Units) Storage2(TB) Networking3(Ports SW 40G)
Strong focus on:
Rise of Middle Class 2012: 9.7 billion 18.4 million 0.1 million Planning!
Ageing Population 2015: 10.6 billion 37.8 million 2.2 million Resource Management
New Technologies /Capacity Planning
2019: 11.9 billion 89.2 million 8.4 million processes, tools, people and
business alignment.
Digitalization
Hyperconnectivity Impact on Power, Cooling
IT Infrastructure Scale Is Evolving Rapidly and Space due to
"Vertical Growth".
Example: Server HP - ProLiant DL3804
Available RPE2(max configuration)
2010: G7 18,750
2012: G8 28,475
2014: G9 55,645
1 Forecast: Servers, All Countries, 2012-2019, 2Q15 Update – G00275604
2 Forecast: External Controller-Based Storage, Worldwide, All Countries, 2015-2019, 1Q15 – G00275634
3 Forecast:
9 © 2015 Gartner, Inc.
Enterprise and/or itsEquipment
Network affiliates. All rights reserved.Segment, Worldwide, 2012-2019, 1Q15 Update – G00273630
by Market
4 Gartner Technology Planner July 2015What Does This Mean in Terms of Cost?
I&O Costs Data Center Costs
By Platform By Resource
Hardware
Data 25%
Center
Typical Large Data Center 38% Servers
50%
Cost Breakdown Software
25%
Network
27%
Disaster Recovery
7% Storage
Staff
Servers Client
32%
Overhead 11% Computing
38%
2% 20%
DC Network 6%
Energy/Facilities Storage Service Desk Facility/Power Facility/Power
12% 7% 15% 12% 12%
Networking Typical Large Data Center
10% Software
22%
Cost
But! 50% of IT Spending
10
People
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29% will bypass IT by 2018Cost-Reduction Impact Assessment
Cost
Savings Customer Payback Organization Technical Investment
Action Benefit Impact Time Impact Risk Level
Consolidate
Computer Rooms
Rationalize and
Virtualize Servers
Contain Storage
Growth
Increase Facility and
Power Efficiencies
Re-examine
Network Costs
Apply Client
Computing Trends
Enhance Service
Desk Performance
Excellent (10%+) Cost Good Cost Reduction Fair Cost Reduction
Reduction/Little or No (5% to 10%)/Moderate (Server Market Distribution has Predictable Traits Today
• Unix – Blue
Large Enterprise Hyperscale
Mode 1 heartland Mode 2 heartland • Linux – Blue, Green, some
Large Remaining legacy Real unit growth driver of Orange
installations x86 servers
Considering cloud
approaches
Willing to completely • Windows – Red & Blue,
revisit approaches
Data Center Size
Main adopters of integrated Moved upstream to
some Orange
systems, which are ODMs in some cases
predominantly based on x86 • Integrated systems – Blue,
some Orange & Red
Small and Midsize xSP
Business Also a growth engine for • Hyperconvergence – Red,
Most lack significant IT staff
servers some Blue
Small
Wide array of approaches
Greatest cloud shift potential
Good target for integrated
and sizes
Some resellers shifting to
• Multinode – Green, some
systems with more granular become service providers Blue & Orange
approaches
• Mainframes - Blue
Internal External
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Compute Service ProvisionServer Market Evolution is Clear From a Chip/OS View
Operating System Revenue 2014
30.000.000.000
54%
25.000.000.000
20.000.000.000
82%
15.000.000.000
10.000.000.000
5.000.000.000
-
2007 YR 2008 YR 2009 YR 2010 YR 2011 YR 2012 YR 2013 YR 2014 YR
Linux Other UNIX Windows
Financial Crisis Inflection Point
13 © 2015 Gartner, Inc. and/or its affiliates. All rights reserved.Mounting Threats to Long-Term
Unix Survival Linux looks, smells, feels
and sounds like Unix
Software drivers - ISV
development/porting preference
Hardware drivers – processor
performance, scaling, uptime
Cost drivers – perceived TCO benefits,
reduced (or zero) vendor lock-in
Market forces – cloud, mode 2, integrated systems, hyperconvergence,
SAP HANA, HPC, big data analytics
“Collateral damage” – HP Nonstop x & Superdome x, IBM LinuxONE &
Linux on Power, Oracle Exadata etc
14 © 2015 Gartner, Inc. and/or its affiliates. All rights reserved.Software Priorities for Clients With an SAP Portfolio, 2015
Life Cycle and/or Port
Tier 0 Tier 1 Tier 2 Tier 3
Domain Dev. Env. Primary Secondary Niche
Operating Suse/x86 Windows Linux Non-x86 AIX, HP-UX,
System Red Hat/x86 Solaris Other OS
DBMS Hana SQL Server Oracle DB2
ASE
Virtualization VMware Hyper-V Xen, KVM, Linux PowerVM, z/VM
Containers (LXC) Integrity VM
Good for consolidation and agility; use live migration Good for consolidation; use live migration to
and site recovery to address planned and unplanned address planned downtime.
downtime. Complement existing HA and DR
Can replace or enhance existing HA and DR infrastructure.
infrastructure deployments with references!
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Black: PUSH -Strategic to SAP, Blue: PUSH –Tactical to SAP; strategic to sponsoring vendor or partner, Red: PULL –Tactical to SAP; support dependent on Market/ Install BaseGoodbye Server; Hello Software Defined Infrastructure
In-Rack Photonics Chipset Photonics
• Less cabling
• Processor, cache,
• More bandwidth
memory connectivity
• Greater reliability
Memory/storage Offload Engines
• Persistent memory
• Graphics, analytics,
• In-memory computing
data compression
• Solid state everywhere
Aggregation Disaggregation
• Integrated Systems • CPU, memory, graphics,
• Processor coupling crypto, I/O
• Memory coupling
16 But not necessarily more OPEN…..
© 2015 Gartner, Inc. and/or its affiliates. All rights reserved.Navigating the Multi-Faceted Integrated Systems Market
Single Single point of
vendor support
Application Single point of
Integrated Stack Systems (ISS) “Wild West”
support
More Software Integrated
Integration
Multi vendor
Multiple points of
support
Single Single point of
Not Applicable
vendor support
Integrated
Hardware Single point of Integrated Reference Hyperconverged Integrated Systems
Infrastructure
Integration support Architectures (IRA) (HCIS)
Multi vendor Systems (IIS)
Multiple points of
Not Applicable
support
Vendor integrated 3rd party integrated Vendor integrated 3rd party integrated
Array (ECB) SDS (DAS)
More Software Defined
17 © 2015 Gartner, Inc. and/or its affiliates. All rights reserved.Projected Growth of Integrated Systems
7.000,0
6.000,0
5.000,0
4.000,0
3.000,0
2.000,0
1.000,0
0,0
2012 2013 2014 2015 2016 2017 2018 2019
Integrated Infrastructure Reference Architecture Hyperconverged Integrated Stack
18 © 2015 Gartner, Inc. and/or its affiliates. All rights reserved.Faster Time to Results Ranks High in Poll of Users
What are the most important benefits of vendor's Integrated Systems
versus existing DC installations?
Faster time to provision and deploy 85%
Improved performance 69%
Better overall TCO 69%
More efficient resource utilization 66%
Improved reliability 58%
Ease of upgrade 48%
Lowered opex 46%
Lowered capex 39%
Improved orchestration 38%
Multiple responses allowed
Improved health monitoring 25%
Other 11%
Gartner primary research (across various geo's),
May 2015
n=108
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HCIS DifferentiatorsDetermine a Preferred Integration Style
I want it economic, simple and Simple I want plenty of choices
prescriptive (as an appliance)
and opportunities to adapt
for fixed and purposeful use case
to new workloads and use cases
Economic Flexible
I want to keep my options open
but it's too early to expand
Prescriptive Selective
20 © 2015 Gartner, Inc. and/or its affiliates. All rights reserved.Let the Workload Pick the Integrated System.
GP OLTP/MC Server Virt VDI Analytics ROBO
Wkloads Wkloads DC Consolidation
Converged-IIS
Converged-IRA
HCIS-Ref Arch's
HCIS-Appliance
HCIS-SW/BYOS
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Least suitable Most suitableRecommendations
The challenges of bimodal IT are
inevitable; “one size fits all” will hard to not
implement with current technology and
data center thinking.
Prepare flexible strategies to handle
the coming market and vendor disruptions.
Adapt what you purchase and plan useful life of existing
infrastructure to handle technology shifts.
Classify workloads based on criticality to business and migrate
less critical workloads first
22 © 2015 Gartner, Inc. and/or its affiliates. All rights reserved.Thank You This presentation, including any supporting materials, is owned by Gartner, Inc. and/or its affiliates and is for the sole use of the intended Gartner audience or other intended recipients. This presentation may contain information that is confidential, proprietary or otherwise legally protected, and it may not be further copied, distributed or publicly displayed without the express written permission of Gartner, Inc. or its affiliates. © 2015 Gartner, Inc. and/or its affiliates. All rights reserved.
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