1

SEMINAR PERSONEL ICT SEKTOR AWAMBIL 1 TAHUN 2010

(19 APRIL 2010)

Salmah KhairuddinMAMPU, PM‟s Department

By

“ENHANCING SERVICE DELIVERY THROUGH THE CONSOLIDATION OF DATA CENTRES

AND DISASTER RECOVERY SERVICES IN THE PUBLIC SECTOR”

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Agenda

Click to add Title1

Click to add Title2

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Background

Major Data Centre Issues and Challenges Faced by Public Sector Agencies

The Malaysian Public Sector Consolidated

Data Centre and DRC Programme

From Disaster Recovery to Business

Resilience

Click to add Title5 Consolidated DC/DRC Value Proposition

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Conclusion6

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Background

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Background

A data centre houses among the most important assets of an agency

namely its ICT equipment and applications

Equally as important is having a disaster recovery facility which ensures

the continuity of the agency‟s key services when its primary data centre

is struck with a disaster

Thus, having high performance data centres is critical to the efficiency

of service delivery as it:

Ensures high availability

Provides greater security, resiliency

and business continuity

Helps garner public

confidence when transacting online

with Government agencies

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Major Data Centre Issues and Challenges

Faced by Public Sector Agencies

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1. Low specs, small sized and low density

2. Insufficient cooling

3. Electrical power trips and power instability

4 . Water leaks, fires

5. Insufficient security

6. Inadequate personnel

7. Absence of/inadequate standard operating procedures (SOP)

8. Absence of disaster recovery plans (DRP)

Major Data Centre Issues and Challenges Faced by Public Sector Agencies

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From Disaster Recovery to Business Resilience

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Business requirements have evolved from “recovery” following a disruption to providing

uninterrupted business process capability

Regulatory Pressures Online Computing Availability Requirements

The Changing Dynamics

Recovery Times Risk Profiles Approach to Planning Technology Capability

Business Recovery

Recovering business operations following an interruption

Business ResilienceMaintaining business operations/viability through all kinds

of stresses and strains … and opportunities

Business Continuity Maintaining business capabilities through disruptive events

Disaster Recovery IT Recovery following some sort of “catastrophic” failure

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Causes of Disruptions

Frequency ofoccurrences

per year

1,000

100

10

1

1/10

1/100

1/1,000

1/10,000

1/100,000US$1 US$10 US$100 US$1,000 US$10,000 US$100,000 US$1,000,000 US$10,000,000 US$100,000,000

Fre

qu

en

tIn

frequ

ent

Consequences (single occurrence loss) in dollars per occurrenceLow High

Virus

WormsDisk failure

System availability failures

Pandemic

Natural disaster

Application outage

Data corruption

Network problem

Building fire

Terrorism/civil unrest

Data driven

Event driven

Business driven

Regulatory Compliance

Workplace inaccessibility

Failure to meet

industry standards

Regional power failures

Governance

Source: IBM

Data GrowthLong Term Preservation

M&A

New Products

Marketing Campaigns

Audits

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Enterprise-Wide Approach to Resilience Management

• A holistic approach to evaluate all aspects of business resilience

• The layers are broken down into IT and business objects

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Examples of Data Centre and DRC

Consolidation Initiatives

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The Malaysian Public Sector

Consolidated Data Centre and DRC

Programme

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Pusat Data

Sektor Awam 2

(PDSA 1)

(Putrajaya)

Pusat Data

Sektor Awam 1

(PDSA 1)

(Cyberjaya)

DATA CENTRE CLOUD

Agency 1

Agency 2

• Database Hosting

• Web, email, and video

conferencing hosting

• Application hosting

• Disaster Recovery

Services

o Hot site

o Warm site

o Cold site

The Public Sector Data Centre (DC) andDisaster Recovery Centre (DRC) Concept

Agency 3

Agency 4

Agency…n

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SCENE

The Public Sector Data Centre (DC) andDisaster Recovery Centre (DRC) Concept...contd.

Intranet

Internet

Agency 1 Agency 2 Agency…n...........

Public Sector DC and DRC

Physical Infrastructure

Users

MAMPU

SLAs

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• 98% have own data centres

• 4% hosting at other agencies‟ data centres

• 10% renting private sector DC facilities

• 10% have DRC services

Until 2009PHASE I

2011 – 2012(Pilot)

PHASE II2013 – 2015

(Rolling Plan)

• PDSA 1

• PDSA 2

• Data Centre Rolling Plan (PDSA 1 and PDSA 2)

• Possible nation-wide establishment of data centres by region

RMKe-10

CONSOLIDATION

Data Centre Transformation

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Data Centre Study 2009 (113 data centres)

• 75 data centres (64%) built with under-spec raised flooring (<18 inches)

• 30% data centres don‟t have precision airconditioning

• 50 data centres (43%) have no CCTVs

• 69% data centres don‟t have environment monitoring system

• 22% data centres don‟t have fire detection and suppression system.

• 67% data centres don‟t have water detection system.

• 81 (69%) data centres don‟t have standard operating procedures (SOP)

• 76% data centres don‟t have disaster recovery plan (DRP)

Until 2009PHASE I

2011 – 2012(Pilot)

PHASE II2013 – 2015

(Rolling Plan)

• ITIL/ISO 20000

• ISO IEC 27001

Information

Security

Management

System

• Green Data Centre

• Trusted Data Centre

• Standard Operating

Procedures

• ITIL/ISO 20000

• ISO IEC 27001

Information

Security

Management

System

• Green Data Centre

• Trusted Data Centre

• Standard Operating

Procedures

RMKe10

CO

NS

OL

IDA

TIO

N

Data Centre Best Practices

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Consolidated DC/DRC Value Proposition

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Consolidated DC/DRC Value Proposition

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• Speedier deployment

• Greater scalability

• Better resource allocation and utilisation

• Bigger capacity

• Higher availability

• Improved business continuity and resilience

• Improved security

Availability Agility

Costs and Energy

Efficiency

Service Delivery

• Greater opportunities for „green„ initiatives and „cloud‟ computing

• Reduced carbon emission

• Reduced costs

• Trust and

confidence when

transacting

online with the

Government

Standardization& Modularity

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Requirements

Budget

Implementation Requirements

ManpowerLocation

• Utilise existing MAMPU

data centres

• Rolling Plan – Establish

more PDSAs nation-wide

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MAMPUClient

• Conducts user requirement study

• Conducts technical assessment and requirement study

• Ensures readiness of facilities

• Provides and maintains DC and DRC services

• Implements continuous improvement

• Identifies critical applications

• Conducts risk analysis

• Carries out business impact analysis

• Prepares Disaster Recovery Pan (DRP)

Roles and Responsibilities

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Activities

Year

2010 2011 2012 2013 2014 2015

Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4

PDSA 1 and PDSA 2

• User Requirements and Service Portfolio

• JTICT Approval

• Procurement Process

• Upgrading Data Center PDSA1 and PDSA 2

• Rollout and Engagement with 5 agencies

• Impact Analysis

Disaster Recovery Centre (DRC)

• Preparation of Disaster Recovery Plan (DRP)

• Technical Accessment

• Procurement Process

• Rollout and Engagement with 10 agencies

• Impact Analysis

Rolling Plan

• Rolling Plan for Public Sector Data Centre

• Rolling Plan for Public Sector Disaster

Recovery Centre

Implementation Plan

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Perlis

Kedah

P.Pinang

PerakKelantan Terengganu

Selangor

N. Sembilan

MelakaJohor

Pahang

Sabah

Sarawak

Cyberjaya /Putrajaya

DRC (Central Zone)

DRC (Southern

Zone)

DRC (Eastern

Zone)

DRC (Northern

Zone) DRC (Sarawak)

DRC (Sabah)

The nation-wide expansion of Public Sector DCs and DRCs

Rolling Plan 2013 - 2015

Johor

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Conclusion

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1

4

Conclusion

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Global trends point to the increasing use of „green‟ initiatives and consolidation of government data centres and DRCs

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Many data centres in the Public Sector have been facing a host of issues and challenges

Most agencies do not have a disaster recovery plan nor suscribe to disaster recovery services

The Malaysian Public Sector is planning to embark on a similar strategy to reap the benefits of shared ICT infrastructure and services and enhancing service delivery

Strong support and commitment required from all user agencies

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Key Findings

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Key findings from the Public Sector Data Centre/DRC

Study in 2009 (from a total of 113 respondents):

105 agencies have own data centres (117 in total)

5 agencies using data centre services of other agencies

11 agencies using private sector data centres

11 agencies have disaster recovery services

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Study Findings…Contd.

Size

79 data centres (68%) are small in size (<1000 sq. ft)

Raised Flooring

• 7 data centres do not have raised flooring

• 75 data centres (64%) built with raised flooring that is too low (<18 inches)

Precision Air Conditioning

35 data centres (30%) are using comfort airconditioninginstead of precision air conditioning

Generator Sets

50 data centres (43%) are not getting back-up power from generator sets

CCTV

50 data centres (43%) have no CCTVs

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Study Findings….Contd.

Personnel

29 (25%) data centres have less than 3 personnel dedicated to the data centre

Standard Operating Procedures

81 (69%) data centres do not have standard operating procedures (SOP)

Disaster Recovery Plan

87 (74%) data centres do not have disaster recovery plans (DRP).

Disaster Recovery Services

Only 11 agencies have disaster recovery services

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Petronas has successfully

consolidated its data

centres from 24 to 7

nationwide.

Petronas

3030

Consolidated 75 data centres into 5

regional data centres

Microsoft

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Korea

Korea has set up 2

consolidated data

centres for the

Public Sector

located at Daejeon

and Gwangju

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Whole-of-Government Consolidated Data Centre Strategy (2007 – 2017).

Implementation involves the consolidation of many discrete agency data centres into several large, shared facilities each offering high levels of availability, security, scalability and disaster recovery capability.

State of Queensland, Australia

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Since 2004, Michigan has shut down 35 of its 38 data centres and repurposed nearly half of its existing IT equipment

Saved more than US$19 million and reclaimed 30,000 square feet of office space

Planning to build a massive data centre between 80,000 to 100,000 sq. ft. dubbed the Great Lakes Information and Technology Centre

State of Michigan, USA

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In February 2010, the Governor issued an executive order for a major overhaul of

the state government‟s entire IT infrastructure including aggressive targets for IT

energy use and data centre floor space

Each state agency to reduce energy consumption of its ICT infrastructure by

10% by July this year, 20% by July 2011 and 30% by July 2012.

Size of data centre floors to be reduced by 25% by July 2010 and 50% by July

2011

The entire state government to use a common technology platform and

shared services

State CIO given authority over all ICT infrastructure used by state agencies

including:

Data centres and data centre services

Hosting of all internal and public-facing applications

Shared services such as email and directory.

California State Government

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Through efficient placement of racks in hot aisle/cold aisle environment

„Green‟ Technology

Through proper design and implementation of data and electrical cabling

..................................... .................................

.....................................................................

The development and application of products, equipment and systems used to conserve the natural environment and resources, which minimizes and reduces the negative impact of human activities.

Through the use of:

Energy-efficient servers

Server and storage consolidation

Objectives:

To reduce the cost of electricity

To reduce carbon emission

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Cloud Computing

• “I only care about result, not how IT capabilities are implemented”

Acquisition Model Service-based

• “I want to pay what I use, like a utility”

Business ModelUsage-based

• “I can access services from anywhere, from any device”

Access ModelInternet, Intranet

• “I can scale up or down the capacity, as needed”

Technical ModelDynamic, flexible

A style of computing where massively scalable IT-enabled capabilities are provided “as a service” over the network

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Consolidation of servers, storage, back-up facilities

Software licences

Shared

infrastructure:

Floor spaceCoolingElectricalsSecurityNetworks

SCENE

Through economies

of scale

Cost Savings