Trends & Challenges for “Mission Critical” Data Center ... · PDF fileBimodal IT means — having two modes ... is owned by Gartner, Inc. and/or its affiliates and is for the sole

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.

Trends & Challenges for “Mission-Critical” Data Center Technology

Andrew Butler

1 © 2015 Gartner, Inc. and/or its affiliates. All rights reserved.

We May be in the Fourth Generationof Computing, With More to Come

Gen. 1 Gen. 3Gen. 2 Gen. 4

Mainframe Minicomputers and Unix

PCs Mobileand Cloud

Gen. 5....

Tomorrow?


But Enterprise IT is in It’s Third Era

Focus Technology Processes Business Models

CapabilitiesProgramming, System

Management

IT Management,

Service ManagementDigital Leadership

EngagementIsolated, Disengaged

Internally and

Externally

Treat Colleagues as

Customers,

Unengaged With

External Customers

Treat Colleagues as

Partners, Engage

External Customers

Outputs and

Outcomes

Sporadic Automation

and Innovation,

Frequent Issues

Services and

Solutions, Efficiency

and Effectiveness

Digital Business

Innovation, New

Types of Value

IT Craftsmanship IT Industrialization Digitalization

ADOPT IDEATE

ENGAGE

CREATE

OFFER

MONETIZE

We Are

Here


Bimodal IT means —

having two modes of IT, each designed

to address different information and

technology goals:

Mode 1is traditional

Mode 2is exploratory


What Does Bimodal IT Mean?

Systems of

Innovation

Systems of

Differentiation

Systems of

Record

-

+

Go

vern

an

ce

+

-

Ch

an

ge

Mode 1

Traditional and sequential, emphasizing stability, safety, accuracy.

Mode 2

Exploratory and nonlinear,

emphasizing agility and

speed.


So What Does “Mode Two” Look Like?

Integrated

Systems

Cloud Virtualization

Data Center Modernization: Mode 1

Infrastructure Agility: Mode 2

Servers Storage

Facilities

Workloads

People

Organizations


Storage NetworksServers

Operations Data Centers

Bi-Modal IT Changes Everything in the Data Center -Not Everyone Will be Ready

Software


How do You Visualize Data Center Demand?

1 Byte 5 Mb 7.5 Exabytes1 Pb

Global Data Center IP traffic (per month)

34 x

255 Exabyte per month1

2013

95 x

715 Exabyte per month1

2018

If a grain of sand =

1 byte

1 - http://www.cisco.com/c/en/us/solutions/collateral/service-provider/global-cloud-index-gci/Cloud_Index_White_Paper.html


Relentless Demand

Server Workloads: 10% AAGR

Network Bandwidth: 35% AAGR

Storage Capacity: 50% AAGR

Power Costs: 20% AAGR

I/O Traffic: 75% AAGR

50%

0%

Annual Average Growth Rate


The New Scale of IT

Scale

Social Change

Rise of Middle Class

Ageing Population

Digitalization

Hyperconnectivity

New Technologies

Consequences on

Data Centers

Strong focus on:

Planning!

Resource Management /Capacity Planning

processes, tools, people and business alignment.

Impact on Power, Cooling and Space due to"Vertical Growth".

Storage2(TB)

18.4 million

37.8 million

89.2 million

Data Center Infrastructure

Available RPE2(max configuration)

2010: G7 18,750

2012: G8 28,475

2014: G9 55,645

4 Gartner Technology Planner July 2015

IT Infrastructure Scale Is Evolving RapidlyExample: Server HP - ProLiant DL3804

Networking3(Ports SW 40G)

0.1 million

2.2 million

8.4 million

Servers1(Units)

2012: 9.7 billion

2015: 10.6 billion

2019: 11.9 billion

1 Forecast: Servers, All Countries, 2012-2019, 2Q15 Update – G002756042 Forecast: External Controller-Based Storage, Worldwide, All Countries, 2015-2019, 1Q15 – G002756343 Forecast: Enterprise Network Equipment by Market Segment, Worldwide, 2012-2019, 1Q15 Update – G00273630


What Does This Mean in Terms of Cost?

Typical Large Data Center

Cost Breakdown

Typical Large Data Center

Cost

Servers11%

Storage7%

Software22%

People29%

Networking10%

Energy/Facilities12%

Overhead2%

Disaster Recovery7%

Service Desk15%

ClientComputing

20%

Network27%

DataCenter38%

Facility/Power12%

Storage32%

Servers50%

DC Network 6%

Facility/Power12%

Software25%

Hardware25%

Staff38%

I&O Costs Data Center Costs

By Platform By Resource

But! 50% of IT Spending will bypass IT by 2018


ActionInvestment

LevelTechnical

RiskOrganization

ImpactPayback

TimeCustomer

Impact

Cost Savings Benefit

Excellent (10%+) Cost Reduction/Little or No Impact

Good Cost Reduction(5% to 10%)/Moderate Impacts

Fair Cost Reduction (<5%)/Major Impacts

Rationalize and Virtualize Servers

ConsolidateComputer Rooms

Enhance ServiceDesk Performance

Contain Storage Growth

Apply Client Computing Trends

Increase Facility and Power Efficiencies

Re-examineNetwork Costs

Cost-Reduction Impact Assessment


Server Market Distribution has Predictable Traits Today

Internal

Da

ta C

en

ter

Siz

e

External

Compute Service Provision

Larg

eS

mall

Large Enterprise

Small and Midsize Business

xSP

Hyperscale

Mode 1 heartland

Remaining legacy installations

Considering cloud approaches

Main adopters of integrated systems, which are predominantly based on x86

Most lack significant IT staff

Greatest cloud shift potential

Good target for integrated systems with more granular approaches

Also a growth engine for servers

Wide array of approaches and sizes

Some resellers shifting to become service providers

Mode 2 heartland

Real unit growth driver of x86 servers

Willing to completely revisit approaches

Moved upstream to ODMs in some cases

• Unix – Blue

• Linux – Blue, Green, some Orange

• Windows – Red & Blue, some Orange

• Integrated systems – Blue, some Orange & Red

• Hyperconvergence – Red, some Blue

• Multinode – Green, some Blue & Orange

• Mainframes - Blue


Server Market Evolution is Clear From a Chip/OS View

82%

-

5.000.000.000

10.000.000.000

15.000.000.000

20.000.000.000

25.000.000.000

30.000.000.000

2007 YR 2008 YR 2009 YR 2010 YR 2011 YR 2012 YR 2013 YR 2014 YR

Linux Other UNIX Windows

Operating System Revenue 2014

Financial Crisis Inflection Point

54%


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


Software Priorities for Clients With an SAP Portfolio, 2015

Domain

Tier 0

Dev. Env.

Tier 1

Primary

Tier 2

Secondary

Tier 3

Niche

Operating

System

Suse/x86 Windows

Red Hat/x86

Linux Non-x86 AIX, HP-UX,

Solaris Other OS

DBMS Hana

ASE

SQL Server Oracle DB2

Virtualization VMware Hyper-V Xen, KVM, Linux

Containers (LXC)

PowerVM, z/VM

Integrity VM

Life Cycle and/or Port

Good for consolidation and agility; use live migration and site recovery to address planned and unplanned downtime.

Can replace or enhance existing HA and DRinfrastructure deployments with references!

Good for consolidation; use live migration to address planned downtime.

Complement existing HA and DRinfrastructure.

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 Base


Goodbye Server; Hello Software Defined Infrastructure

Disaggregation• CPU, memory, graphics,

crypto, I/O

In-Rack Photonics• Less cabling

• More bandwidth

• Greater reliability

Memory/storage• Persistent memory

• In-memory computing

• Solid state everywhere

Aggregation• Integrated Systems

• Processor coupling

• Memory coupling

Chipset Photonics• Processor, cache,

memory connectivity

Offload Engines• Graphics, analytics,

data compression

But not necessarily more OPEN…..


Navigating the Multi-Faceted Integrated Systems Market

Application

Integration

Single

vendor

Single point of

support

Integrated Stack Systems (ISS)

Multi vendor

Single point of

support“Wild West”

Multiple points of

support

Hardware

Integration

Single

vendor

Single point of

support

Integrated

Infrastructure

Systems (IIS)

Not Applicable

Hyperconverged Integrated Systems

(HCIS)Multi vendor

Single point of

support

Integrated Reference

Architectures (IRA)

Multiple points of

supportNot Applicable

Vendor integrated 3rd party integrated Vendor integrated 3rd party integrated

Array (ECB) SDS (DAS)

More Software Defined

More

Soft

ware

Inte

gra

ted


Projected Growth of Integrated Systems

0,0

1.000,0

2.000,0

3.000,0

4.000,0

5.000,0

6.000,0

7.000,0

2012 2013 2014 2015 2016 2017 2018 2019

Integrated Infrastructure Reference Architecture Hyperconverged Integrated Stack


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?

n=108

Multiple responses allowed

11%

25%

38%

39%

46%

48%

58%

66%

69%

69%

85%

Other

Improved health monitoring

Improved orchestration

Lowered capex

Lowered opex

Ease of upgrade

Improved reliability

More efficient resource utilization

Better overall TCO

Improved performance

Faster time to provision and deploy

Gartner primary research (across various geo's), May 2015

HCIS Differentiators


Determine a Preferred Integration Style

Simple

Flexible

Prescriptive Selective

Economic

I want it economic, simple and prescriptive (as an appliance)for fixed and purposeful use case

I want plenty of choicesand opportunities to adaptto new workloads and use cases

I want to keep my options open but it's too early to expand


Converged-IIS

Converged-IRA

HCIS-Ref Arch's

HCIS-Appliance

HCIS-SW/BYOS

GP Wkloads

OLTP/MC Wkloads

Server VirtDC Consolidation

VDI Analytics ROBO

Least suitable Most suitable

Let the Workload Pick the Integrated System.


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

Recommendations

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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Trends & Challenges for “Mission Critical” Data Center ... · PDF fileBimodal IT means — having two modes ... is owned by Gartner, Inc. and/or its affiliates and is for the sole