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The Data Center Software

Gartner Hype Cycle


2011, 2013 & 2015

IDC MarketScape: DCIM Vendor Assessments

Gartner Magic Quadrant 2014 to 2015


Confidential Property of Schneider Electric

451 Research – DCIM Competitive Landscape

A lot has changed in a year

© IDC Visit us at IDC.com and follow us on Twitter: @IDC 6

30.1

27.2

39.7

35.1

18.8

23.0

44.8

36.8

34.5

29.9

27.6

17.2

0.0 5.0 10.0 15.0 20.0 25.0 30.0 35.0 40.0 45.0 50.0

WE MANAGE OUR INFRASTRUCTURE USING OTHER ENTERPRISE MANAGEMENT SOLUTIONS

DCIM IS TOO EXPENSIVE

WE TRACK AND MANAGE OUR INFRASTRUCTURE USING EXCEL

WE PLAN TO WAIT AND SEE WHAT OTHER SOLUTIONS COME ON THE MARKET IN THE FUTURE

WE DON'T SEE THE VALUE OR ROI IN DCIM

DCIM IS TOO DIFFICULT OR TIME CONSUMING TO DEPLOY

2015 2014 2014 N = 237 respondents not using DCIM, out of 404 total surveyed

2015 N = 87 respondents not using DCIM, out of 406 total surveyed

Objections to DCIM – 2015 vs 2014


DCIM Market Is Stabilizing

Q: Is your organization considering moving to a new DCIM provider this year?

Source: IDC’s 2015 Enterprise Datacenter Survey,

N = 319 respondents using DCIM

Yes, 29.2

No, 57.4

Don't know, 13.5

2015

Yes, 41.8

No, 40.6

Don't know, 17.6

2014


N = 165 respondents using DCIM

DCIM Forecast

Drivers:

Demand for faster delivery of

IT service drives need for

better resource management

Increasing energy costs drive

need for greater efficiency (esp

A/P)

Preparing for a software-

defined environment

Industrial automation meets

the datacenter


-

200.0

400.0

600.0

800.0

1,000.0

1,200.0

2014 2015 2016 2017 2018 2019

Worldwide DCIM Software and Services Forecast, 2014-2019 ($M)

Services Software

2014-2019 CAGR = 15.8%

Problems in the Datacenter


0.0 5.0 10.0 15.0 20.0 25.0 30.0 35.0 40.0

Run out of IP addresses

Downtime due to natural disasters

Insufficient bandwidth into or out of the datacenter

None of the above

Security breaches

Regulatory or compliance issues

Latency issues

Downtime due to system failure

Downtime due to human error

2015 2014 2014 & 2015 IDC Enterprise Datacenter Survey


0.0

5.0

10.0

15.0

20.0

25.0

Speed time to deploy IT services

Reduce power consumption

Improve asset management

Increase availability of

compute resources

Improve workflow management

Reduce downtime Improve flexibility to move workloads

as needed

Improve cooling efficiencies

Critical facilities IT equipment

IT & Facilities More Aligned than We Think

Q: What are your most important datacenter initiatives?


N = 406

IT Operations Efficiency Must Improve Typical Allocation of IT Admin

and Operations Staff Time

Provision, patch, and

config, 22%

New service

request and

approval, 18%

Vendor and

internal meetings,

16%

Monitor, troubleshoot

and remediate,

24.8%

Innovation and new

projects, 21%


Today, IT staff has little time to allocate towards innovation

Headcount stays stable or shrinks as scale and complexity increase

Automation & analytics are viewed as critical enablers of more efficient operations

Buyers are motivated to consolidate management tools and streamline processes

Cloud, converged systems and software defined initiatives create catalysts for reviewing/replacing existing tools

N=301 Base = All Respondents Source: IDC 2014


DCIM Maturity Phases

2014: most were here


How do I get here?

DCIM Maturity Phases

C-level LOB IT & IT Ops Facility Mgr

Trusted, actionable data

supports strategic decisions

Faster response from IT Reduced downtime,

reduced MTTR

Coordinate with organization on

efficiency initiatives without

introducing risk

Capacity planning reduces risk

and unnecessary capital spend

Enhanced coordination

leads to better outcomes,

reduced cost

Changes prescribed with

full workflow support; Errors

reduced

Increased lead times on facility

changes

Visibility into spending by

initiative; connect IT spend with

business value

Achieve business goals

while adhering to company

policy

IT staff can focus on

innovation instead of triage

Efficient use of personnel

Greater customer satisfaction –

datacenter first point of contact

Understanding of complete

IT costs associated with

projects

Increased coordination with

Facilities speeds

deployment

Enhanced security

Speed time to market with IT

delivered as a service

Accurate, trusted data that

can be used to make

decisions

Seat at the table in decision process

DCIM Value BattleCard

The Need for Integration Services

Some key reasons to integrate data

Access to vast repositories of data

and information

Easier, quicker, and more efficient

planning and expansion of a data

center

Granular visibility into data center

resources

Single pane of glass monitoring

Exploration and analysis of

information

Integrations can be complex… Network Connectivity

• Local site challenges can include overcoming the isolation of control or energy devices from the corporate WAN

• Enterprise challenges include connecting geographically dispersed sites to a single point

Several Transfer Methodologies • Web Services, Flat file transfer & open field bus protocols

Data Normalization is key • Scaling, offset, virtual point calculations are typically required between 3rd party systems

• Successful integrations are architected and planned well

Protocol Translation Gateways • Can be significant cost based on the number of data points to be transferred

• Transfer time needs to be considered

Alarm Consolidation • Common request but “semi-real time” expectation needs to be considered

Focus on single user experience

Intelligent & comprehensive

insight into the facility

infrastructure: electrical +

mechanical

Critical Power Path

Generators MV + LV Power

Distribution

Cooling System

Fire Safety

Lighting Control

The Software Defined Data Center DCIM as the foundation of Software Defined Infrastructure

DCIM Defined Services

Applications

VMs

Hypervisor

Server

DCIM

Physical Infrastructure

SLA

Electrical Energy White space Mechanical Analytics

Data Center Infrastructure Management

Asset

management

Server

optimization

Capacity

management

Energy

management

Server

power capping

Change

management

Space

management

Monitoring

& control

Workloads/Services will drive

the business in the future

Tracking cost per service

CIO needs

Transparency

Insight

Analytics

a SERVICE

Network?

Labor? Floor space?

Cooling?

Power?

Rack space?

Compute? Storage?

Software?

Operations

Agility & speed

Effectiveness & efficiency

Accountability

’Think service’

Security?

THE SOFTWARE-DEFINED

DATA CENTER

IDC’s Software Defined Infrastructure (SDI) Taxonomy

-defined data center

Software Defined IT

Today

Software-defined IT (Compute, storage, network, perimeter etc.)

SHARED resources

1 server = many applications

DevOps will treat

the data center as a

a utility

Tomorrow

Software-defined Physical Infrastructure (power, cooling, space etc.)

1 data center = many data centers

SHARED resources

Software Defined Data Center Services

Applications

VMs

Hypervisor

Server

Buildings

SLA

2,000 ’workloads’ = 340 VMs = 52

physical servers

Efficient power, cooling

...compute, storage, network &

perimeter

ITSM

DCIM

Hr

s

Hr

s

Day

s

Day

s

Day

s

Weeks

Year

s

Year

s

Physical

Infrastructure

Software Defined Data Center

Predicting service availability

DCIM must understand service needs

> Will be able to create many small

’data centers’

> Will dynamically match physical

infrastructure requirements for

services

> Continually reserves, maintains

and understands how physical

resources align with the required

services

Payroll, SW-Def DC 1 E-commerce, SW-Def DC 2

CRM, SW-Def DC 3

Converged Infrastructure

Services

Applications

VMs

Hypervisor

Server

SLA

- Open architecture

- Restful APIs / web services

- Public interfaces / ETL

- Bi-directional data flows

ITSM

DCIM

Physical Infrastructure

Buildings

Benefits of the Converged Infrastructure

CIO

Transactions linked with $$$

Deployment strategies

Elasticity (dynamic loads)

ITSM

+

DCIM

Converged

Infrastructure Facilities

All facility & IT assets owned by facilities

Dynamic power & cooling environment control

Automatically shutdown infrastructure

Reduced number of moves, adds and changes

1 server = many applications

DevOps/IT

Focus on service, SLAs and applications

Treat the data center as a utility (”blackbox”)

Provides speed and agility

Automatic consolidation of workloads

DCIM as the Foundation for New Operational

Convergence

> First step: Linking IT and Facilities

infrastructure

> Interoperability with ITSM

overcomes adoption

challenges

> DCIM can alleviate siloed

operational data through

integration with ITSM tools

> The future: The “workload to watt”

correlation

Facilities

IT

Service

Finance

Server monitoring

Server power capping

Server Access (vKVM)

Capacity management

Network topology

Virtualization management

Run-book / Orchestration

Power & Cooling monitoring

Power & Cooling control

Building Management Systems

Space management

Sensors, Access & Security

Asset management

Capacity management

Service management

SLA management

Performance management

Availability management

Cloud management

Cost of service

Energy procurement

Financial management

Business planning & analytics

Risk management

Charge-back management

Compliance

DCIM

“DCIM+” New DCIM?

Software Defined Power

SW-Defined Power™ Profile Original Profile


Cloud Customer Example

Building 16 MW of capacity

24

Months To market

with buildout

$160

Million Buildout

CAPEX

$1.0

Million Megawatt/Yr

OPEX

Unlocking 16 MW of capacity

2

Weeks To Market

$40

Million CAPEX

$0.85

Million Megawatt/Yr

OPEX

Full 80 MW

Available Only 64 of 80 MW Available

Not Usable


Data Center Power Flow

Distribution

Supply

Loads

Power capacity can be stranded in complex distribution networks


Peak vs. Average Power Provide Capacity On-Demand, Where it is most needed

Opportunity

Actual Usage

(average)

Design Capacity (grid), Watts

Often, 20% or more of

design capacity is

“stranded” due to

load variation

Time

Peaks &

Suspected Peaks


Peak Assurance with Distributed Batteries

Extra power from local battery

+

Average power from grid Actual Usage

(average)

Design Capacity (grid), Watts

More average power can be

supplied by grid without

overloading breakers

Time

Peaks &

Suspected Peaks

Thank you! Questions?

Domenic Alcaro

Vice President – Data Center Software Solutions

[email protected]

Documents

The Data Center Software - socalafcom.comsocalafcom.com/images/downloads/Next_Gen_DC... · Gartner Hype Cycle Confidential Property of Schneider Electric | Page 2 . 2011, 2013 & 2015