Next Generation Datacenters in Financial Services
Driving Extreme Efficiency and Effective Cost Savings
By: Tony Bishop
Paperback | 13 July 2009
At a Glance
312 Pages
22.9 x 15.2 x 2.03
Paperback
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This book is a solution driven book for management demonstrating how to leverage technology to manage the seemingly infinite amount of data available today. Each chapter offers cutting-edge management and technology solutions to effectively manage data through data centers.
-Feature: Presents cutting-edge technology solutions not available in one place until now
-Benefit: Saves time going to numerous websites, calling vendors, going to conferences
-Feature: Includes step-by-step instructions on how to implement a data center strategy based on the author's recent success with Wachovia's data center
-Benefit: Readers can follow these steps with confidence that they will work and not have to re-invent the wheel
-Feature: Demonstrates how business and IT can be aligned in financial services
-Benefit: Demonstrating this alignment is crucial for any proposal for IT related resources today
Industry Reviews
Series editors' preface | p. ix |
Preface | p. xi |
About the author | p. xiii |
Book conventions | p. xv |
The accelerating demand for datacenters | p. 1 |
State of the datacenter today | p. 2 |
Credit crisis and regulatory requirements | p. 2 |
Trends in real-time enterprise transformation | p. 3 |
IT spending versus revenue growth | p. 3 |
Diminishing returns of further optimization | p. 4 |
Exponential data growth | p. 4 |
Lack of efficiency | p. 5 |
The next-generation datacenter | p. 5 |
Challenges in legacy architecture | p. 7 |
IT's dilemma: remodeling the plane while it's in flight | p. 8 |
The predictions | p. 9 |
A multitude of disruptions | p. 9 |
Lessons learned | p. 12 |
A legacy of challenges | p. 13 |
How different executives view the datacenter | p. 14 |
CTO organization POV | p. 15 |
CIO organization POV | p. 16 |
Middle/front office organizations POV | p. 18 |
Reconciling differences | p. 18 |
Entrenched legacy infrastructure | p. 20 |
Moving forward | p. 20 |
Real Time enterprise | p. 23 |
The real time enterprise | p. 24 |
Continuous improvement | p. 25 |
IT in a real time enterprise | p. 26 |
The new IT environment | p. 32 |
Alignment as a strategy | p. 33 |
IT as the analog of the business | p. 34 |
Design from the top-down | p. 37 |
Bottom up: past design decisions influence today's operations | p. 38 |
Top-down: aligning supply to demand | p. 40 |
The impact of fluctuating demand on rigid supply | p. 43 |
The tailored and dynamic environment | p. 47 |
Proposed solution: a Fit-for-Purpose Real Time Infrastructure (RTI) | p. 49 |
What is Fit-for-Purpose? | p. 49 |
What is Real Time Infrastructure (RTI)? | p. 51 |
Operating characteristics of a Fit-for-Purpose RTI | p. 51 |
Realizing a Fit-for-Purpose RTI design (design principles for RTI) | p. 52 |
Drivers | p. 52 |
Artifacts | p. 53 |
Core competencies | p. 54 |
Technologies | p. 55 |
Governance: the key to sustaining RTI value | p. 59 |
Processing Execution Destinations (PEDs) | p. 62 |
Low latency ensemble | p. 64 |
Complex transaction ensemble | p. 64 |
Numerical processing ensemble | p. 65 |
Information integration ensemble | p. 65 |
The Next Generation Datacenter (NGDC) design | p. 66 |
Deployment architecture | p. 66 |
Platform architecture | p. 69 |
Next Generation Datacenter design principles | p. 70 |
Next Generation Datacenter business benefits | p. 73 |
Designing the foundation | p. 75 |
Change management plan from the start | p. 76 |
Controlling scope | p. 76 |
Keeping the end game in mind | p. 76 |
Expect resistance to change | p. 77 |
Communication | p. 77 |
The beginning | p. 78 |
Forensic methodology | p. 79 |
The forensic model | p. 80 |
Leveraging the forensic model | p. 82 |
NGDC design artifacts | p. 82 |
Legacy datacenter modeling | p. 84 |
Service design | p. 93 |
Service design qualities | p. 102 |
Service architecture patterns | p. 113 |
Architecture ensembles | p. 122 |
Infrastructure processing execution destinations (PEDs) | p. 128 |
Service design framework | p. 136 |
Service design road map | p. 143 |
Architecture maturity model | p. 147 |
NGDC program design and oversight | p. 151 |
Extreme optimizations and eco-efficiencies | p. 157 |
Guidelines for playbooks | p. 157 |
A lean 90-day plan | p. 158 |
The anatomy of a playbook | p. 161 |
Playbook description | p. 161 |
Business drivers/strategy | p. 161 |
KPI improvements to track | p. 162 |
Execution strategy | p. 162 |
Key technologies | p. 162 |
Use cases and metrics | p. 162 |
Technology or process optimization strategy | p. 164 |
Idea in practice | p. 164 |
Project outline | p. 165 |
Project mission statement, objectives, and benefits | p. 166 |
Profile past successes | p. 168 |
Application patterns | p. 169 |
Key technology characteristics | p. 170 |
Maturity model | p. 171 |
Reference models-development lifecycle | p. 172 |
Reference models-reference architecture | p. 173 |
Reference models-quality of experience | p. 174 |
Managing resulting building block to create a discipline | p. 174 |
Manage for scale and evolution | p. 177 |
Expanding the transformation program | p. 177 |
Setting the stage for an effective dialog | p. 179 |
Architecture migration | p. 181 |
Objective 1: establish an IT economic model | p. 182 |
The scope of the IT economic model | p. 182 |
The IT economic model on an enterprise scale | p. 183 |
Aligning with the business | p. 184 |
Objective 2: map demand | p. 184 |
Objective 3: map supply | p. 186 |
Objective 4: map infrastructure dependencies | p. 187 |
Operate | p. 189 |
Objective 5: manage demand and supply dynamically | p. 190 |
Objective 6: instrument transaction services | p. 193 |
Objective 7: automate virtual resource management | p. 196 |
Objective 8: run IT like a utility | p. 198 |
Execute | p. 200 |
Objective 9: optimize supply footprint | p. 201 |
Sustain | p. 203 |
Objective 10: manage IT like a portfolio | p. 203 |
Objective 11: implement predictive IT | p. 206 |
Objective 12: realize the next generation datacenter | p. 207 |
Key strategies and technologies | p. 209 |
The IT service delivery model and managing implementation volatility | p. 209 |
Review of the RTI migration | p. 212 |
An NGDC direction | p. 212 |
Evolving into an NGDC | p. 214 |
NGDC technical building block taxonomy | p. 215 |
Implications of the taxonomy on service delivery | p. 217 |
Key strategies | p. 217 |
IT service delivery evolution | p. 217 |
Service delivery models | p. 219 |
Cloud delivery model decisions | p. 224 |
Enterprise cloud design | p. 224 |
Tactics that support the strategies | p. 227 |
Vertical cooling in the datacenter | p. 227 |
Unified fabric to reduce cabling complexity | p. 231 |
Transformation tactics | p. 232 |
Core technologies | p. 237 |
RTI technology landscape | p. 237 |
Core technologies realized benefits | p. 245 |
Measure for success | p. 247 |
Common datacenter measures | p. 247 |
Internal metrics | p. 247 |
External metrics | p. 249 |
The role of ITIL and service management | p. 250 |
Striking the right balance | p. 251 |
The importance of architecture | p. 252 |
The role of quality of experience | p. 252 |
Next generation datacenter metrics | p. 253 |
So ... What do we measure? | p. 256 |
Industry extended applicability | p. 259 |
Other industries | p. 259 |
The datacenter as an extension of service-oriented architecture | p. 260 |
IT as a standard? | p. 260 |
Wachovia CIB case study | p. 263 |
NGDC maturity model | p. 275 |
Index | p. 281 |
Table of Contents provided by Ingram. All Rights Reserved. |
ISBN: 9780123749567
ISBN-10: 0123749565
Series: Complete Technology Guides for Financial Services
Published: 13th July 2009
Format: Paperback
Language: English
Number of Pages: 312
Audience: Professional and Scholarly
Publisher: Academic Press
Country of Publication: US
Dimensions (cm): 22.9 x 15.2 x 2.03
Weight (kg): 0.5
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