The Future has Arrived - Mary Poppendieck - Agile SG 2016

Presented in Agile Singapore 2016 Conference

Transcript

1. It's just not evenly distributed.
   Photograph © Tom Poppendieck
   Mary Poppendieck
   mary@poppendieck.com
   www.poppendieck.com
   

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2. Copyright©2016
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   Photograph © Tom Poppendieck
   

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3. Business Software:
   Why One Server?
   Monolithic & Slow to change
   ERP Database  Integration
   On a Single Server
   CAP Theorem:
   Partitioned databases
   must choose between:
   Availability
   Consistency
   Photograph © Tom Poppendieck
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4. [c. 2001]
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5. Get a bigger computer.
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   Get more computers. Google Hardware c. 1999
   

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6. Amazon ~ 2001
   Handle a gazillion transactions
   All at once
   What Amazon Did:
   Break transactions into services
   Replicate bottleneck services
   Each service owned by a semi‐
   autonomous “two pizza” team
   Option 2:
   Scale Out
   Option 1:
   Scale Up
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   Photograph © Tom Poppendieck
   

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8. Pinkham moves to South Africa
   Asked to pursue project there
   Assembles and leads a team
   Develops EC2 in 2 years
   EC2 Launches in 2006
   10 Years Later:
   The Cloud has Changed
   Software Engineering
   Autonomous Services 
   Autonomous Service Teams
    Independent Deployment
    Much Stress in Operations
   Chris Pinkham (VP Infrastructure)
   Proposes self‐service deployment
   for development teams
   Maybe sell the capability?
   Time Passes….
   Photograph © Tom Poppendieck
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9. Simplicity
   Infrastructure without code
   Isolation
   No more multitenant packages
   Lower Cost
   Cheaper for event‐driven code
   Utilization
   Many more apps/server
   Portability
   Build once run anywhere
   Consistency
   Configuration managed
   by containers at runtime
   Isolation
   Hardened containers
   protect the contents
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   Containers Serverless
   Software Defined Networks (SDN)
   Google’s Jupiter
   Critical for Scale
   “Jupiter Rising: A Decade of Clos Topologies and Centralized Control in Google’s Datacenter Network”, by Amin Vahdat et al.
   https://www.youtube.com
   /watch?v=FaAZAII2x0w
   

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    Photograph © Tom Poppendieck
    

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11. The Evolution of IT
    1996 2016
    Running on any
    available set of
    physical resources
    (public/private/
    virtualized)
    Assembled by
    developers using
    best available
    services
    Thin app on mobile,
    tablet
    Thick, client‐server app
    on thick client
    Well‐defined stack:
    ‐ O/S
    ‐ Runtime
    ‐ Middleware
    Monolithic
    Physical
    Infrastructure
    www.docker.io
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12. Scale Out
    Technology Platform
    Scale Up
    Enterprise
    Architecture
    Federated
    Architecture
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    Photograph © Tom Poppendieck
    

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14. Three Kinds of Systems
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    Nassim Nicholas Taleb:
    Antifragile – Things that gain from Disorder
    Acm Queue, September 2012:
    “Resilience Engineering: Learning to Embrace Failure”
    Picture Credit: André Faria Gomes
    

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15. Periodic Releases
    Monolith
    Database as Integrator
    Stateful Protocols
    Synchronous Communication
    Procedural Programming
    Consecutive Execution
    Defect Free
    Continuous Delivery
    Microservices
    API’s as Integrators
    Stateless Protocols
    Asynchronous Communication
    Event Driven Programming
    Concurrent Execution
    Fault Tolerant
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    Photograph © Tom Poppendieck
    

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    More Value
    for Customers
    Scale Out
    Scale Up
    

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18. Diverse Design Team
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    Stanford d.school Ashish Goel
    More Value
    for Customers
    Proven Design Process
    

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    Sketch: Jake Knapp
    

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    Photograph © Tom Poppendieck
    

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    Deep Learning
    

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    Photograph © Tom Poppendieck
    

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23. A Matchmaker – a business that
    connects members of one group
    with members of another group.
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    Photograph © Tom Poppendieck
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24. Copyright©2016 Poppendieck.LLC 24
    Photograph © Tom Poppendieck
    

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25. Photograph © Tom Poppendieck
    Mary Poppendieck
    mary@poppendieck.com
    

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26. Photograph © Tom Poppendieck
    Mary Poppendieck
    mary@poppendieck.com
    

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