- @matthewpskelton beyond the spotify model matthew skelton, conflux · 2019-04-10 ·...
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TeamTopologies.com@TeamTopologies
Beyond the Spotify modelusing Team Topologies for
organisation dynamics with software deliveryMatthew Skelton, Conflux
co-author of Team Topologies - @matthewpskelton
IPEXPO Mancs, 03 April 2019, Manchester
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The Spotify Model
Limitations
Team Topologies
Getting started
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The Spotify model of team design for
software delivery5
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Henrik Kniberg & Anders Ivarsson, 2012https://blog.crisp.se/wp-content/uploads/2012/11/SpotifyScaling.pdf
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The Spotify modelSquad: semi-autonomous delivery team
Tribe: family of Squads - related work
Chapter: line management within a Tribe
Guild: cross-Tribe interest/specialist group
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The Spotify model has been hugely helpful to 100s of organizations
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The Spotify model helps to...
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Encourage flow of change
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Establish and clarify team
responsibilities
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Promote good kinds of team collaboration
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Plan and budget for cross-team
enablers
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The Spotify model helps toEncourage flow of change
Establish and clarify team responsibilities
Promote good kinds of team collaboration
Plan and budget for cross-team enablers
@matthewpskelton / @TeamTopologies
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Limitations of the Spotify model
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“This article is only a snapshot of our current way of working - a journey in progress, not a journey completed. By the time you read this, things have already changed.” - Kniberg & Ivarsson
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There is No Spotify Model
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Marcin Floryan, 2016https://www.infoq.com/presentations/spotify-culture-stc
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Software sizing and cognitive load
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Heuristics for Conway’s Law
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Patterns for team interactions
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Triggers for change and evolution
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We also need to addressSoftware sizing and cognitive load
Heuristics for Conway’s Law
Patterns for team interactions
Triggers for change and evolution
@matthewpskelton / @TeamTopologies
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Team Topologies
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topology
the way in which constituent parts are interrelated or arranged
Greek: τοπολογία (τόπος == ‘place’)
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Team Topologies
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Research over 5 years across multiple industry sectors
Informed by 50+ peer-reviewed journal articles
30+ client organizations - consulting and training since 2013 with orgs in CN, EU, IN, US, UK, +
Book: 12+ case studies from well-known organizations
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Origins - DevOps Topologies
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CC BY-SA devopstopologies.com
@matthewpskelton / @TeamTopologies
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Philip Fisher-Ogden, Director of Engineering at Netflix:
“thanks for your insightful articulations of devops topologies. They inspired many discussions and helped us to think about what model Netflix teams could be/are using.”
https://twitter.com/philip_pfo/status/999074792123740160
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Crystal Hirschorn, Director of Engineering at Condé Nast International
“Your topological models resonated extremely well on both the Dev and Ops side btw! I like the balanced arguments, e.g. different perspectives, for each pattern.”
https://twitter.com/cfhirschorn/status/1103387659890819073
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Team Topologies
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Organizing business and technology teams for fast flow
Matthew Skelton and Manuel PaisPublication date: Sept 2019IT Revolution Press
Pre-order from Amazon.com: https://teamtopologies.com/book
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“innovative tools and concepts for structuring the next generation digital operating model” Charles T. Betz, Principal Analyst, Forrester Research
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Team Topologies for fast flow
Conway’s LawTeam-first Thinking
Team Interactions
Sensing for Evolution
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Software sizing and cognitive load
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Team-first Thinking
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Team-first Thinking
The team is the means of delivery
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Team-first Thinking
Design for team cognitive load
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Team-first Thinking
Choose boundaries for team ownership
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Team-first Thinking
Physical and digital workspace
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Team-first Thinking
The team is the means of deliveryDesign for team cognitive load
Choose boundaries for team ownershipPhysical and digital workspace
@matthewpskelton / @TeamTopologies
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Heuristics for Conway’s Law
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Conway’s Law
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Conway’s Law
Heuristic for ‘natural’ expected design
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Conway’s Law
Mirroring in tech system + human system
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Conway’s Law
Reverse Conway to mitigate worst effects
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Conway’s Law
Constraint on solution search space
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Conway’s Law
Heuristic for ‘natural’ expected designMirroring in tech system + human systemReverse Conway to mitigate worst effects
Constraint on solution search space
@matthewpskelton / @TeamTopologies
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Patterns for team interactions
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Team Interactions
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Team Interactions
3 defined Interaction Modes
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Team Interactions
Collaboration: 2 teams working together
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Team Interactions
X-as-a-Service: 1 provides, 1 consumes
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Team Interactions
Facilitating: 1 team helps another
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Team Interactions
3 defined Interaction ModesCollaboration: 2 teams working together
X-as-a-Service: 1 provides, 1 consumesFacilitating: 1 team helps another
@matthewpskelton / @TeamTopologies
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4 fundamental topologies
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Stream-aligned team
Enabling team
Complicated Subsystem team
Platform team
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4 fundamental topologies
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Flow of change
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3 core interaction modes
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Flow of change
X-as-a-Service
Facilitating
Collaboration
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Triggers for change and evolution
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Sensing for Evolution
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Sensing for Evolution
Not all teams in the org look the same
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Sensing for Evolution
Discover, then push to Platform
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Sensing for Evolution
Awkward team interactions are signals
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Sensing for Evolution
Evolve the org with changing ecosystem
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Sensing for Evolution
Not all teams in the org look the sameDiscover, then push to Platform
Awkward team interactions are signalsEvolve the org with changing ecosystem
@matthewpskelton / @TeamTopologies
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Getting started with the Team Topologies
approach63
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Getting started
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Explicit cognitive load
Large Conway mismatches
Team Interactions
Thinnest Viable Platform
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How well can the team as a unit “grok” the systems they own and develop?
Push some things into a Platform?
Are skills or capabilities missing?
Explicit cognitive load
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Getting started
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Explicit cognitive load
Large Conway mismatches
Team Interactions
Thinnest Viable Platform
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Are there major mismatches between the team interactions and the required software / system architecture?
What could be easily adjusted?
Large Conway mismatches
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Getting started
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Explicit cognitive load
Large Conway mismatches
Team Interactions
Thinnest Viable Platform
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What would change if we adopted the 3 team interaction patterns?
Collaboration, X-as-a-Service, Facilitating
How would teams react & behave?
Team Interactions
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Getting started
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Explicit cognitive load
Large Conway mismatches
Team Interactions
Thinnest Viable Platform
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How is your Platform defined?
What is the thinnest platform that could work?
What’s needed to run an support it?
Thinnest Viable Platform
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Getting started
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Explicit cognitive load
Large Conway mismatches
Team Interactions
Thinnest Viable Platform
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Review
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The Spotify model helps toEncourage flow of change
Establish and clarify team responsibilities
Promote good kinds of team collaboration
Plan and budget for cross-team enablers
@matthewpskelton / @TeamTopologies
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We also need to addressSoftware sizing and cognitive load
Heuristics for Conway’s Law
Patterns for team interactions
Triggers for change and evolution
@matthewpskelton / @TeamTopologies
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Team Topologies for fast flow
Conway’s LawTeam-first Thinking
Team Interactions
Sensing for Evolution
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Getting started
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Explicit cognitive load
Large Conway mismatches
Team Interactions
Thinnest Viable Platform
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Sign up for news and tips:
TeamTopologies.com
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Thank [email protected]
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Matthew Skelton, Conflux@matthewpskelton
Manuel Pais, Independent@manupaisable
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