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Cloud Choices Quantifying the Cost and Risk Implications of Cloud
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Cloud Choices Quantifying the Cost and Risk Implications of Cloud
1.
© 2018, Amazon
Web Services, Inc. or its Affiliates. All rights reserved. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. John Enoch Principal Technical Business Development Manager, Amazon Web Services Cloud Choices Quantifying the Cost and Risk Implications of Cloud
2.
© 2018, Amazon
Web Services, Inc. or its Affiliates. All rights reserved. Your next 40 minutes: What to expect • Transformational IT projects statistically fail: Why? Is failure an option? What is your risk appetite? • Perception of problems determines outcomes: How can organisations best approach cloud adoption as a key decision? • Methods for quantifying cost, risk and value: How to mitigate risk and reduce cloud migration costs? Example: Data Centre exit. Presented by Mark Trevor, Partner Cushman & Wakefield
3.
© 2018, Amazon
Web Services, Inc. or its Affiliates. All rights reserved. Cost & Risk in Cloud Choices: “How you think is what you get”
4.
© 2018, Amazon
Web Services, Inc. or its Affiliates. All rights reserved. Alan Shepard, Apollo 14 Astronaut “ It's a very sobering feeling to be up in space and realize that one's safety factor was determined by the lowest bidder on a government contract.” Are your outcomes driven by cognitive bias?
5.
© 2018, Amazon
Web Services, Inc. or its Affiliates. All rights reserved. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Is your status quo disrupted (even sustainable)? Big IT platform Small cloud 2018 2021 ? ? Status quo Evolution Transformation Small IT platform Big cloud
6.
© 2018, Amazon
Web Services, Inc. or its Affiliates. All rights reserved. What are your odds in IT? (i) Assess Complexity Standish Group’s Chaos Report Source: Standish Group Chaos Report: Decision Latency Theory, 2018 • Success = delivered on [time, budget, to expectations] • Validates “Keep IT Simple” thinking • Decision speed is critical
7.
© 2018, Amazon
Web Services, Inc. or its Affiliates. All rights reserved. What are your odds in IT? (ii) Assess Decisiveness Decision Latency Source: Standish Group Chaos Report: Decision Latency Theory, 2018 https://en.wikipedia.org/wiki/OODA_loop Entropy
8.
© 2018, Amazon
Web Services, Inc. or its Affiliates. All rights reserved. 7 Cloud Choices that impact outcomes 1. Focus on technology, not business impact 2. Accountability and KPIs 3. Learnings (reflected in the business case) 4. Importance of planning head 5. Stakeholder consensus 6. Leadership: managing & motivating 7. Execution capabilities: talent, tools & techniques Discenza, R. & Forman, J. B. (2007). Seven causes of project failure: how to recognize them and how to initiate project recovery. Paper presented at PMI® Global Congress 2007—North America, Atlanta, GA. Newtown Square, PA: Project Management Institute.
9.
© 2018, Amazon
Web Services, Inc. or its Affiliates. All rights reserved. Your decisiveness (i.e. decision latency) is… ? 0% 20% 40% 60% 80% 100% LEADERSHIP BUSINESS CASE TEAM CONSENSUS ACCOUNTABILITYURGENCY IMPORTANCE CAPABILITY CHANGE READINESS SELF-ASSESSMENT AWS tool: Can we help?
10.
© 2018, Amazon
Web Services, Inc. or its Affiliates. All rights reserved. Customers that AWS supports with a business case adopt cloud about 60% faster than those who don’t.
11.
© 2018, Amazon
Web Services, Inc. or its Affiliates. All rights reserved. A solid, optimized business case needs real cost, usage and licensing data, not guesswork. TSO Logic finds this reduces costs in excess of 30% and accelerates migration timelines by 90 days Aaron Rallo,CEO TSO Logic
12.
© 2018, Amazon
Web Services, Inc. or its Affiliates. All rights reserved. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. HOW?WHY? WHAT? WHEN? Change IT platform? Cloud? “Hybrid”? On-premise? Which partner(s)? Capability & systems upgrades? Application due diligence? Governance? Project planning? Which supplier(s)? Analysis: Cost, Risk, value? Window of opportunity? Important to Urgent? Framing The Decision Making The Investment Case Executing Change On Time & On Budget
13.
© 2018, Amazon
Web Services, Inc. or its Affiliates. All rights reserved. Cost & Risk in Cloud Choices: “How you act is what you get”
14.
© 2018, Amazon
Web Services, Inc. or its Affiliates. All rights reserved. Challenge linear progression maturity models
15.
© 2018, Amazon
Web Services, Inc. or its Affiliates. All rights reserved. How suppliers think about you = how they act “For decades, we have relied on the old, sequential lifecycle model to help plan and budget our activities in each stage, moving customers sequentially across each of those stages. Now that our buyers have higher expectations and are self- educating, our marketing needs to become more personalized and respond to individual behaviors. ” https://blog.marketo.com/2016/11/the-evolution-of-the-customer-lifecycle.html Relationships are iterative & agile
16.
© 2018, Amazon
Web Services, Inc. or its Affiliates. All rights reserved. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. 0 5,000,000 10,000,000 15,000,000 20,000,000 25,000,000 30,000,000 35,000,000 40,000,000 45,000,000 Yr 1 Yr 2 Yr 3 Yr 4 Yr 5 Yr 6 Yr 7 Total in-house cost per year Total AWS cost per year Total in-house cost to date Total AWS cost to date 0 2,000,000 4,000,000 6,000,000 8,000,000 10,000,000 12,000,000 14,000,000 16,000,000 18,000,000 20,000,000 Yr 1 Yr 2 Yr 3 Yr 4 Yr 5 Yr 6 Yr 7 Total in-house cost per year Total AWS cost per year Total in-house cost to date Total AWS cost to date 0 2,000,000 4,000,000 6,000,000 8,000,000 10,000,000 12,000,000 14,000,000 16,000,000 18,000,000 20,000,000 Yr 1 Yr 2 Yr 3 Yr 4 Yr 5 Yr 6 Yr 7 Total in-house cost per year Total AWS cost per year Total in-house cost to date Total AWS cost to date ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ RESERVED INSTANCES SPOT INSTANCES Illustrative TCO, trade-offs and tipping point
17.
© 2018, Amazon
Web Services, Inc. or its Affiliates. All rights reserved. APPLICATION CHOICES INFRASTRUCTURE INFLATION PEOPLE & TALENT INNOVATION DECOMM INSURANCE PROCUREMENT Cost
18.
© 2018, Amazon
Web Services, Inc. or its Affiliates. All rights reserved. • Financial metrics (ROCE, EBITDA…) • Security posture • Cost of change/inertia • Talent & Knowledge • Org. Change • “Lock-in” • IT Assets: Gap between Book & Market value Risk
19.
© 2018, Amazon
Web Services, Inc. or its Affiliates. All rights reserved. APPLICATIONS INFRASTRUCTURE CULTURE PEOPLE & TALENT FINANCE, GRC SUPPLIERS BUSINESS INTELLIGENCE LEADERSHIP Productivity
20.
© 2018, Amazon
Web Services, Inc. or its Affiliates. All rights reserved. Methods for Measuring “What you inspect is what you get”
21.
© 2018, Amazon
Web Services, Inc. or its Affiliates. All rights reserved. Arthur Stephenson, Chairman, Investigation Board “The 'root cause' of the loss of the spacecraft was the failed translation of English units into metric units” Do you have a valid scale of measurement?
22.
© 2018, Amazon
Web Services, Inc. or its Affiliates. All rights reserved. Which IT Platform? How to use IT? How to exit legacy IT? Cost Reduction Agility IT Performance Productivity Customer Needs Business Case Innovation Operate & Optimise Decision Outcome Uncertainty Change Project (suppliers, discovery, plan, design, build) Illustrative view of Cloud Adoption as a System
23.
© 2018, Amazon
Web Services, Inc. or its Affiliates. All rights reserved. Measuring and comparing for trade-offs • Create a 0-100 scale for measuring value • Put all aspects of value on the scale • Consider how risk appetite reflects value in each aspect • Factor the 2 coefficients to create an additive utility score • Eliminate bad options
24.
© 2018, Amazon
Web Services, Inc. or its Affiliates. All rights reserved. 1. Benefits of moving IT delivery from on-premise to AWS cloud Discovery and TCO Identify and analyze on-premise compute, storage, memory and software licenses Agentless, no training required Cloud Planning Fast, accurate planning Rightsize and right-cost workloads to AWS Continual Visibility Ongoing insights and predictive analytics Proven cost savings of 30% or more Accurate, data-driven recommendations for rightsizing and right-costing workloads from on-premise to AWS
25.
© 2018, Amazon
Web Services, Inc. or its Affiliates. All rights reserved. Optimise on compute e.g. rightsizing…
26.
© 2018, Amazon
Web Services, Inc. or its Affiliates. All rights reserved. SQL Server Windows Server (Production Workloads) Microsoft Dev/Test Workloads (With MSDN Subscription) Up to 88% Savings when moving SQL Server with BYOL Up to 43% Savings when moving Windows Server with BYOL 22% Savings when moving MSDN workloads with BYOL With Software Assurance: Move to Dedicated or Shared Instance Without Software Assurance: Requires Dedicated Host (max savings) or Dedicated Instance Requires Dedicated Host Requires Dedicated Instance and can only be used by MSDN Subscribers Application Cost per Month - On Demand Sample Customer Scenario Savings For Customers Who Bring Their Existing Licenses To AWS …simplify licensing
27.
© 2018, Amazon
Web Services, Inc. or its Affiliates. All rights reserved. The migration to Cloud often will not occur at: • the optimum stage of an IT refresh cycle nor • either the point that the investment in the dedicated facility has been fully written down or the contract on the colo is reaching the end. The key IT objectives behind most decisions are usually to: ü reduce opex; ü eliminate capex; and ü provide a better IT service and experience for both internal & external customers. A lack of analysis and measurable impact assessment typically creates decision inertia. 2. Benefits of exiting data centres …with a fact based plan
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© 2018, Amazon
Web Services, Inc. or its Affiliates. All rights reserved. The consequential impact of Cloud migration 32% 68% An increasingly common picture…... Utilised Non-utilised (the ‘Problem’) In-house data centre utilisation 0.0 1.2 2.4 3.6 £50 £100 £150 £200 £250 90% 70% 50% 30% Cost per IT kW & PUE vs utilisation IT Load PUE
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© 2018, Amazon
Web Services, Inc. or its Affiliates. All rights reserved. What is the solution and a way out.. example 32% 68% IN-HOUSE DATA CENTRE COLOCATION DATA CENTRE ü û Legacy Don’t exit the in-house data centre Sell the data centre to a colocation operator and retain, as the anchor customer, the required capacity under a MSA. The unutilised capacity creates the basis for additional revenues for that operator. ü It eliminates: Ø The cost of migration and; Ø The migration risk ü The cost per kW/ cabinet is fixed and transparent; ü As the operator is successful in securing new customers the PUE will reduce and thus the cost per kWh reduces; ü No further capex spend and; ü The potential for a capital receipt on the sale that could potentially cover the current NBV An Opportunity, not a Problem £
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© 2018, Amazon
Web Services, Inc. or its Affiliates. All rights reserved. Summary
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© 2018, Amazon
Web Services, Inc. or its Affiliates. All rights reserved. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. *QRM: “Quality and risk management” 1. Thinking ANCHORING THE BUSINESS PROBLEM RISK APPETITE AND DECISION CULTURE 21 VALUE ANALYSIS AND CLOUD ECONOMICS APPLICATION MIGRATION ANALYSIS 3 4 STRATEGIC DECISION OPTIMISATION & BENEFITS REALISATION 5 6 Problem & Objectives…. Options & Outcomes…. Trade-Offs & Tracking
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© 2018, Amazon
Web Services, Inc. or its Affiliates. All rights reserved. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. 2. Doing 1. Pricing: Cost vs Commitment Reserved Instances On Demand Spot 2.Transparency: Tag, Trigger, Report, Automate.
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© 2018, Amazon
Web Services, Inc. or its Affiliates. All rights reserved. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved. VALUATION 3. Measure & Inspect Operational Financial QRM* K P I s
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© 2018, Amazon
Web Services, Inc. or its Affiliates. All rights reserved. Thank You johnenoc@amazon.co.uk
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