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This stuff is cool, but…
HOW CAN I GET MY COMPANY TO DO IT?
Businessing the S*** out of Transformative Development!
Mark Heckler
Principal Technologist/Developer Advocate
Pivotal Software, Inc.
www.thehecklers.org
mark@thehecklers.org
@MkHeck
@MkHeck
@MkHeck
Who am I?
• Author
• Speaker
• DEVELOPER
• Seeker of a better way
• MBA
@MkHeck
@MkHeck
The Goal
@MkHeck
Disclaimers
• I’m human
• Measurements require assumptions…
• …but those will be clearly stated and quantified
• Estimate benefits conservatively, costs liberally
• The numbers you see are EXAMPLES
• Adjust sensibly for your circumstances
@MkHeck
With great power…
@MkHeck
What’s on the agenda?
@MkHeck
What’s on the agenda?
• Payback
• Net Present Value (NPV)
• Quantification
• Based upon (solid, well-reasoned, calculated) assumptions
• Several steps to get there, but don’t panic!
@MkHeck
@MkHeck
Payback: Formula
Cost of Project
Annual Cash Inflow (or Savings)
= Payback Period
@MkHeck
Payback: Example
$500,000 (costs)
$200,000/year (new income)
= 2.5 years
@MkHeck
Payback: Explanation
• Shorter payback period generally better
• Longer payback means more uncertainty, greater risk
• Prefer < 3 years payback period
• Payback < 1 year == essential project
@MkHeck
Payback: Drawbacks
• No consideration of total value
• 3 year payback, no further value after year 5, lifetime value: $250,000
• 5 year payback, ongoing value, lifetime value: $1,000,000
• Which would you choose?
• No consideration of time value of money
• Good measure, but incomplete
@MkHeck
Net Present Value (NPV): Formula
Net Period Cash Flow
(1+R)T
= NPV∑
where R is the rate of return/cost of capital
and T is the number of time periods
@MkHeck
Net Present Value (NPV): Example 1
$1,000,000
(1+0.05)5
= $783,526∑
where R is the rate of return/cost of capital
and T is the number of time periods
@MkHeck
Net Present Value (NPV): Example 2
= $646,206
$200,000
(1+0.04)2
$400,000
(1+0.03)3
$100,000
(1+0.05)1
++
$184,911 $366,057$95,238
@MkHeck
Inputs & Associated Challenges
• Quantifying qualitative measures
• How would this initiative:
• affect your organization’s/group’s/team’s work?
• impact your tech stack?
• contribute to recruitment/retention?
• affect the business?
@MkHeck
Putting Numbers with It: Pros & Cons
• Pros
• Critical analysis yields better understanding of inputs, impacts
• Can provide more objective and compelling justification for initiative
• Cons
• Can be very time-consuming
• No automatic conversion between qualitative & quantitative measures
@MkHeck
Putting Numbers with It: Caveats
• Time is a constraint
• Assumptions form basis of conclusions
• Bad assumptions -> Inaccurate conclusions
• Good assumptions -> (In?)accurate conclusions
• Document assumptions meticulously
• Be open to discussion, refinement
Let’s run through it
(Optional<Suit>)
Microservices
Assemble to make
“more than meets the eye”
@MkHeck
Notes about Microservice Architectures
• “Return on Investment (ROI) is driven by accelerated realization of
benefits rather than overall business transformation.”
• Reduced maintenance costs?
• Increased business opportunities through new APIs?
• Selective scaling of only high-demand microservices reduces costs
• Investment includes upskilling/coaching/mentoring
@MkHeck
Expectations
• Small batch sizes, small teams: Microservices
• Bounded contexts
• API-based contracts for interactions
• More functionality delivered to market (or internal end-users) sooner
• Building the right product (tight dev loop == tight feedback loop)
@MkHeck
Expectations
• Microservices (continued)
• Improved quality; small mods vs. major overhauls
• Improved end-user satisfaction
• Small, frequent releases expose & help resolve process issues “in the
small”
• When releases are tiny, well-planned & -choreographed events, they
can happen at will
Monoliths
That’s one big app!
@MkHeck
Assumptions: monoliths
• Average cadence of releases of key monolithic apps: 1x/year*
• 10 months of development before “code freeze”
• 1 month of integration testing, bug fixes
• 1 month of UAT (confirmations, course corrections, logging “new”
requirements)
*optimistic in many cases
Microservices
Assemble to make
“more than meets the eye”
@MkHeck
Assumptions: microservices
• Average cadence of microservices releases: 7448x/DAY*
• If your company is 1/1000th (0.1%) as effective as Amazon, that’s still
> 7 releases/day…over 2500 releases/year!
• 14 new microservices in first year
• Each of your Y1 microservices averages a release every other day
*Amazon: 1 every 11.6s in 2011 - YMMV!
@MkHeck
Assumptions: microservices
• How much more functionality can be delivered more quickly, more
accurately?
• If you can approach zero with missed requirements, missed
opportunities, missed expectations…how much is that worth?
• If users can have needed functionality MONTHS or YEARS sooner, what is
that worth to your company?
@MkHeck
Quantification
• Volatile functionality
• Sales drivers
• Product development/engineering
• Focus upon producing key abilities, define interfaces in monolith
• Average time to get interface APIs “live”: 6 months
• Average business size: $500m annual revenue
• Impact of high-demand projects implemented via microservices: $1m/microservice
@MkHeck
Quantification
• Costs
• Upskilling required for relevant tech teams
• Ramp-up - offset by avoidance of contextualization issues
• Other things that may smooth/speed path omitted*
• Platform costs and interface development
• Foregone revenue from monolith implementation**
*would increase costs and resultant cash flows
**assumes some functionality would be implemented otherwise in monolith
($1m)
($2m)
($5m)
@MkHeck
Totals, Year 1
New revenues, year 1 $14m
Expenses
Upskilling ($1m)
Platform costs ($1m)
Interfaces ($1m)
Opportunity costs ($5m)
Y1 NET GAIN/LOSS FROM ADOPTION $6m
@MkHeck
6.86 months
Annual Cash Inflow (or Savings)14,000,000
Cost of Project8,000,000
Payback: Microservices
= Payback Period
APPROVED!
Not so fast…
@MkHeck
Totals, Year 1
New revenues, year 1 $14m
Expenses
Upskilling ($1m)
Platform costs ($1m)
Interfaces ($1m)
Opportunity costs ($5m)
Y1 NET GAIN/LOSS FROM ADOPTION $6m
@MkHeck
Y2 Assumptions
• Double number of microservices added in Y2 vs. Y1
• 14 new in Y1 + 28 new in Y2 = 42 new microservices @EOY2
• Estimate slightly reduced impact, may be overly pessimistic
• 28 * $750k = $21m $14m + $21m = $35m “new” revenue
• Assume linear ability to expand monolith, may be overly optimistic
• $10m worth of functionality could be implemented in monolith
@MkHeck
Totals, Year 2
New revenues, year 2 $35m
Expenses
Upskilling ($1m)
Platform costs ($2m)
Interfaces ($1m)
Opportunity costs ($10m)
Y2 NET GAIN/LOSS FROM ADOPTION $21m
@MkHeck
Y3 Assumptions
• Double number of microservices added in Y3 vs. Y2
• 42 @EOY2 + 56 new in Y3 = 98 new microservices @EOY3
• Estimate further reduced impact, may be overly pessimistic
• 56 * $500k = $28m $35m + $28m = $63m “new” revenue
• Assume linear ability to expand monolith, may be overly optimistic
• $15m worth of functionality could be implemented in monolith
@MkHeck
Totals, Year 3
New revenues, year 3 $63m
Costs
Upskilling ($1m)
Platform costs ($6m)
Interfaces ($1m)
Opportunity costs ($15m)
Y3 NET GAIN/LOSS FROM ADOPTION $40m
@MkHeck
NPV: Microservices
= $61,086,277
$21m
(1+0.05)2
$40m
(1+0.05)3
$6m
(1+0.05)1
++
$19,954,649 $35,417,342$5,714,286
APPROVED!
@MkHeck
Factors Revisited
• Quantifying qualitative measures
• How would this initiative:
• affect your organization’s/group’s/team’s work?
• impact your tech stack?
• contribute to recruitment/retention?
• affect the business?
@MkHeck
In summary…
• Critical analysis yields better understanding of inputs, impacts
• Can provide more objective and compelling justification for initiative
• Be honest
• Document & communicate assumptions clearly
• Be open to course corrections
@MkHeck
This is Not the Enemy!They are your Allies
@MkHeck
Thank You for Participating!
Keep the conversation going:
• @MkHeck
• mark@thehecklers.org

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This stuff is cool, but...HOW CAN I GET MY COMPANY TO DO IT?

  • 1. This stuff is cool, but… HOW CAN I GET MY COMPANY TO DO IT? Businessing the S*** out of Transformative Development! Mark Heckler Principal Technologist/Developer Advocate Pivotal Software, Inc. www.thehecklers.org mark@thehecklers.org @MkHeck @MkHeck
  • 2. @MkHeck Who am I? • Author • Speaker • DEVELOPER • Seeker of a better way • MBA
  • 5. @MkHeck Disclaimers • I’m human • Measurements require assumptions… • …but those will be clearly stated and quantified • Estimate benefits conservatively, costs liberally • The numbers you see are EXAMPLES • Adjust sensibly for your circumstances
  • 8. @MkHeck What’s on the agenda? • Payback • Net Present Value (NPV) • Quantification • Based upon (solid, well-reasoned, calculated) assumptions • Several steps to get there, but don’t panic!
  • 10. @MkHeck Payback: Formula Cost of Project Annual Cash Inflow (or Savings) = Payback Period
  • 12. @MkHeck Payback: Explanation • Shorter payback period generally better • Longer payback means more uncertainty, greater risk • Prefer < 3 years payback period • Payback < 1 year == essential project
  • 13. @MkHeck Payback: Drawbacks • No consideration of total value • 3 year payback, no further value after year 5, lifetime value: $250,000 • 5 year payback, ongoing value, lifetime value: $1,000,000 • Which would you choose? • No consideration of time value of money • Good measure, but incomplete
  • 14. @MkHeck Net Present Value (NPV): Formula Net Period Cash Flow (1+R)T = NPV∑ where R is the rate of return/cost of capital and T is the number of time periods
  • 15. @MkHeck Net Present Value (NPV): Example 1 $1,000,000 (1+0.05)5 = $783,526∑ where R is the rate of return/cost of capital and T is the number of time periods
  • 16. @MkHeck Net Present Value (NPV): Example 2 = $646,206 $200,000 (1+0.04)2 $400,000 (1+0.03)3 $100,000 (1+0.05)1 ++ $184,911 $366,057$95,238
  • 17. @MkHeck Inputs & Associated Challenges • Quantifying qualitative measures • How would this initiative: • affect your organization’s/group’s/team’s work? • impact your tech stack? • contribute to recruitment/retention? • affect the business?
  • 18. @MkHeck Putting Numbers with It: Pros & Cons • Pros • Critical analysis yields better understanding of inputs, impacts • Can provide more objective and compelling justification for initiative • Cons • Can be very time-consuming • No automatic conversion between qualitative & quantitative measures
  • 19. @MkHeck Putting Numbers with It: Caveats • Time is a constraint • Assumptions form basis of conclusions • Bad assumptions -> Inaccurate conclusions • Good assumptions -> (In?)accurate conclusions • Document assumptions meticulously • Be open to discussion, refinement
  • 20. Let’s run through it (Optional<Suit>)
  • 21. Microservices Assemble to make “more than meets the eye”
  • 22. @MkHeck Notes about Microservice Architectures • “Return on Investment (ROI) is driven by accelerated realization of benefits rather than overall business transformation.” • Reduced maintenance costs? • Increased business opportunities through new APIs? • Selective scaling of only high-demand microservices reduces costs • Investment includes upskilling/coaching/mentoring
  • 23. @MkHeck Expectations • Small batch sizes, small teams: Microservices • Bounded contexts • API-based contracts for interactions • More functionality delivered to market (or internal end-users) sooner • Building the right product (tight dev loop == tight feedback loop)
  • 24. @MkHeck Expectations • Microservices (continued) • Improved quality; small mods vs. major overhauls • Improved end-user satisfaction • Small, frequent releases expose & help resolve process issues “in the small” • When releases are tiny, well-planned & -choreographed events, they can happen at will
  • 26. @MkHeck Assumptions: monoliths • Average cadence of releases of key monolithic apps: 1x/year* • 10 months of development before “code freeze” • 1 month of integration testing, bug fixes • 1 month of UAT (confirmations, course corrections, logging “new” requirements) *optimistic in many cases
  • 27. Microservices Assemble to make “more than meets the eye”
  • 28. @MkHeck Assumptions: microservices • Average cadence of microservices releases: 7448x/DAY* • If your company is 1/1000th (0.1%) as effective as Amazon, that’s still > 7 releases/day…over 2500 releases/year! • 14 new microservices in first year • Each of your Y1 microservices averages a release every other day *Amazon: 1 every 11.6s in 2011 - YMMV!
  • 29. @MkHeck Assumptions: microservices • How much more functionality can be delivered more quickly, more accurately? • If you can approach zero with missed requirements, missed opportunities, missed expectations…how much is that worth? • If users can have needed functionality MONTHS or YEARS sooner, what is that worth to your company?
  • 30. @MkHeck Quantification • Volatile functionality • Sales drivers • Product development/engineering • Focus upon producing key abilities, define interfaces in monolith • Average time to get interface APIs “live”: 6 months • Average business size: $500m annual revenue • Impact of high-demand projects implemented via microservices: $1m/microservice
  • 31. @MkHeck Quantification • Costs • Upskilling required for relevant tech teams • Ramp-up - offset by avoidance of contextualization issues • Other things that may smooth/speed path omitted* • Platform costs and interface development • Foregone revenue from monolith implementation** *would increase costs and resultant cash flows **assumes some functionality would be implemented otherwise in monolith ($1m) ($2m) ($5m)
  • 32. @MkHeck Totals, Year 1 New revenues, year 1 $14m Expenses Upskilling ($1m) Platform costs ($1m) Interfaces ($1m) Opportunity costs ($5m) Y1 NET GAIN/LOSS FROM ADOPTION $6m
  • 33. @MkHeck 6.86 months Annual Cash Inflow (or Savings)14,000,000 Cost of Project8,000,000 Payback: Microservices = Payback Period APPROVED!
  • 35. @MkHeck Totals, Year 1 New revenues, year 1 $14m Expenses Upskilling ($1m) Platform costs ($1m) Interfaces ($1m) Opportunity costs ($5m) Y1 NET GAIN/LOSS FROM ADOPTION $6m
  • 36. @MkHeck Y2 Assumptions • Double number of microservices added in Y2 vs. Y1 • 14 new in Y1 + 28 new in Y2 = 42 new microservices @EOY2 • Estimate slightly reduced impact, may be overly pessimistic • 28 * $750k = $21m $14m + $21m = $35m “new” revenue • Assume linear ability to expand monolith, may be overly optimistic • $10m worth of functionality could be implemented in monolith
  • 37. @MkHeck Totals, Year 2 New revenues, year 2 $35m Expenses Upskilling ($1m) Platform costs ($2m) Interfaces ($1m) Opportunity costs ($10m) Y2 NET GAIN/LOSS FROM ADOPTION $21m
  • 38. @MkHeck Y3 Assumptions • Double number of microservices added in Y3 vs. Y2 • 42 @EOY2 + 56 new in Y3 = 98 new microservices @EOY3 • Estimate further reduced impact, may be overly pessimistic • 56 * $500k = $28m $35m + $28m = $63m “new” revenue • Assume linear ability to expand monolith, may be overly optimistic • $15m worth of functionality could be implemented in monolith
  • 39. @MkHeck Totals, Year 3 New revenues, year 3 $63m Costs Upskilling ($1m) Platform costs ($6m) Interfaces ($1m) Opportunity costs ($15m) Y3 NET GAIN/LOSS FROM ADOPTION $40m
  • 41. @MkHeck Factors Revisited • Quantifying qualitative measures • How would this initiative: • affect your organization’s/group’s/team’s work? • impact your tech stack? • contribute to recruitment/retention? • affect the business?
  • 42. @MkHeck In summary… • Critical analysis yields better understanding of inputs, impacts • Can provide more objective and compelling justification for initiative • Be honest • Document & communicate assumptions clearly • Be open to course corrections
  • 43. @MkHeck This is Not the Enemy!They are your Allies
  • 44. @MkHeck Thank You for Participating! Keep the conversation going: • @MkHeck • mark@thehecklers.org