50.000 orange stickies later
TRANSCRIPT
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Transactions Redefined
Special KanDDDinsky version
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Transactions Redefined
A dive into the wormhole with
Special KanDDDinsky version
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About me
Very hard to explain my job to my mother
running www.avanscoperta.it
Modelling (almost) everything with sticky notes, markers and a paper roll.
Calling this stuff
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Show me your aggregates!!!
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2013
• First Blog Post About EventStorming
• One single path from business to aggregate discovery
• The beginning of a long journey
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2017
• Growing Momentum
• Many practitioners -> Many Ideas
• Many different formats:
• Big Picture / Process Modelling / Software Design
• Retrospective / Induction / More…
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Big Picture EventStormingMaking sense of a huge mess
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Big Picture Workshop
Invite the right people -> Business, IT, UX
Provide unlimited modelling space
Surface, Markers, stickies
Model a whole business line with Domain Events
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Establish a timeline
Some facilitator tricks will kickstart the discussion quickly
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Explore with domain Events
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The shape of the organization
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The knowledge distribution
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Enforcing the timeline
Experts will usually post a locally ordered sequence of events
But enforcing a shared timeline then triggers long awaited conversations
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Following steps
Structure will emerge
People and Systems will be displayed
…
Every layer sparkles a new type of conversation
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Outcome (big Picture):
The whole process is visible
Massive learning (crossing silo boundaries)
consensus around the core problem
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Outcome (big Picture):
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Outcome (big Picture):
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Outcome (big Picture):
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Outcome (big Picture):
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Outcome (big Picture):
Multiple storytellings
Incremental Notation #NoUML #NoBPMN
A language for different tribes #Lean #UX #Agile #SW
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More specifically…
No scope limitation (paper roll)
Exploration of boundaries (External Systems & People)
-> The BOTTLENECK is in the picture.
-> The CORE DOMAIN is in the picture
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CLARITY
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The outcome:
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The outcome:
A clear business narrative
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The outcome:
A clear business narrative
A massive blocker
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The outcome:
There are recurring patterns in blockers
A clear business narrative
A massive blocker
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Arrow Voting
A clear business narrative
A massive blocker
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Arrow Voting
A clear business narrative
A massive blocker
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Arrow Voting
A clear business narrative
A massive blocker
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Arrow Voting
A clear business narrative
A massive blocker
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Arrow Voting
A clear business narrative
A massive blocker
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Arrow Voting
A clear business narrative
A massive blocker
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Arrow Voting
A clear business narrative
A massive blocker
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Arrow Voting
A clear business narrative
A massive blocker
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Arrow Voting
A clear business narrative
A massive blocker
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Arrow Voting
A clear business narrative
A massive blocker
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Arrow Voting
A clear business narrative
A massive blocker
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Arrow Voting
A clear business narrative
A massive blocker
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Arrow Voting
A clear business narrative
A massive blocker
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Arrow Voting
You already achieved consensus…
A clear business narrative
A massive blocker
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Working around the bottleneck
• Highest priority -> #No Backlog
• Hard to solve -> #NoEstimates
• Requires Experiments -> #DDDesign #LeanStartup
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Big Picture In a Startup
Invitations are a piece of cake
Great attitude
No past to compare with :-)
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Big picture in a mature company
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Big picture in a mature company
Hard invitation process -> already telling us something
Underlying conflicts
Corporate Dysfunctions
Legacy implementation
Dungeon Masters
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Special Tricks?
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Pattern: Incremental Notation
After every round the team agrees on the next perspective to investigate
Structure, Boundaries, Responsibilities, Systems, Goals, Pitfalls, etc…
Every round refines the previous one providing fresher insights
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Pattern: Fuzzy by Design
Imprecise definitions…
allow everyone to be included in the conversation.
Allow Everything to be included in the model
Trigger interesting conversation on the spot.
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Process ModellingMaking sure we’re doing the right thing
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Scope: Epic or set of features
Command
Domain Event
Domain Event
Read Model
Domain Event
Read Model
Preconditions OutcomesThe flow to discover
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What about User stories?A placeholder for future conversation…
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This is a good conversation!
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Colour-puzzle Thinking
Policy
UserUser
Command
Read Model
External System Domain Event
Command
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Commands / Decisions
Command is not yet a software artefact
It’s a decision taken by a user (or a piece of software)
Outside-in vs Inside-Out thinking
Command
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Investigate Policies
How is our system supposed to react to given events?
Whenever [Event] then [Command]
“We need a lilac between the orange and the blue”
Policy
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This is where everybody lies
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Ambiguity does not compile
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Policies spectrum
IMPLICIT POLICIES: without an explicit agreement
EXPLICIT POLICIES: assuming everyone is following them
AUTOMATION:
Listeners, Sagas, Process managers
Policy
User
Policy
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Challenging value
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Challenging value
Every step can create or destroy value for given users
Discovering multiple currencies
Discovering new opportunities
Discovering inconsistencies
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Enables cross-perspective conversation
Software design, User Experience, Business Modelling, Lean etc.
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I never said it’s easy
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A different job
Big picture is for discovery -> Disagreements are OK
Here we are reaching an agreement -> Consensus is HARD
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Software design
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Another little problem…
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The moment someone pronounces the word “aggregate” suddenly everybody from the
business have something urgent to do
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Colour-puzzle thinking
User
Command
Read Model
External System
Domain Event
CommandPolicy
Aggregate
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Scope: Epic or set of features
Command
Domain Event
Domain Event
Read Model
Domain Event
Read Model
Preconditions OutcomesThe flow to discover
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Investigating Aggregates
State Machine Logic
Focus on BEHAVIOUR, not DATA
Postpone NAMING
Don’t fall in love with your intuition
Aggregate
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Ubiquitous Language(s)
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Ubiquitous Language(s)
SLOWLY introduce consistency
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Ubiquitous Language(s)
SLOWLY introduce consistency
…I said SLOWLY
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Ubiquitous Language(s)
SLOWLY introduce consistency
…I said SLOWLY
SYMMETRIES are telling you something
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Ubiquitous Language(s)
SLOWLY introduce consistency
…I said SLOWLY
SYMMETRIES are telling you something
…but also the lack of them.
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Ubiquitous Language(s)
SLOWLY introduce consistency
…I said SLOWLY
SYMMETRIES are telling you something
…but also the lack of them.
BRUTE FORCE does not work!
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Ubiquitous Language(s)
SLOWLY introduce consistency
…I said SLOWLY
SYMMETRIES are telling you something
…but also the lack of them.
BRUTE FORCE does not work!
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Rewriting EventsDomain Event
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Rewriting Events
Pedantic Semantic Precision
Domain Event
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Rewriting Events
Pedantic Semantic Precision
… we started from chaos, remember?
Domain Event
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Rewriting Events
Pedantic Semantic Precision
… we started from chaos, remember?
Multi-layered -> Emerging Bounded Contexts
Domain Event
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Rewriting Events
Pedantic Semantic Precision
… we started from chaos, remember?
Multi-layered -> Emerging Bounded Contexts
Key information becomes visible
Domain Event
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Rewriting Events
Pedantic Semantic Precision
… we started from chaos, remember?
Multi-layered -> Emerging Bounded Contexts
Key information becomes visible
Domain Event
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Hard Problems don’t have an Obvious solution
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Discovering Read Models
They’re not “Just Data”
They’re Decision Making tools
Don’t let “reuse” get in the way
Read Model
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Discovering Read Models Read Model
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Discovering Read Models
1. Understand the decision
Read Model
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Discovering Read Models
1. Understand the decision
• Not so easy #DirtyLittleSecrets
Read Model
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Discovering Read Models
1. Understand the decision
• Not so easy #DirtyLittleSecrets
• Rational & Emotional
Read Model
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Discovering Read Models
1. Understand the decision
• Not so easy #DirtyLittleSecrets
• Rational & Emotional
2. Define the necessary data
Read Model
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Discovering Read Models
1. Understand the decision
• Not so easy #DirtyLittleSecrets
• Rational & Emotional
2. Define the necessary data
• Data Set
Read Model
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Discovering Read Models
1. Understand the decision
• Not so easy #DirtyLittleSecrets
• Rational & Emotional
2. Define the necessary data
• Data Set
• Page Layout
Read Model
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Discovering Read Models
1. Understand the decision
• Not so easy #DirtyLittleSecrets
• Rational & Emotional
2. Define the necessary data
• Data Set
• Page Layout
3. Make it happen
Read Model
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Discovering Read Models
1. Understand the decision
• Not so easy #DirtyLittleSecrets
• Rational & Emotional
2. Define the necessary data
• Data Set
• Page Layout
3. Make it happen
• Projections, Composite UI, Mashups, Good Old Queries, Views and stored procedures. #WhateverItTakes
Read Model
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Need Product Owner Badly
Exploration is needed in order to challenge the model
Product Owner is needed in order to bring reality in
KNOWING WITHOUT IMPLEMENTING IS FINE …as long as it’s cheap.
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Design Style
Our fuzzy definitions will get progressively rewritten
There is no over-design: WE’RE ON THE CORE!
Expect a lot of healthy thrashing
Bruce Lee state.
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Takeaways
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is my pizza: You can add your
toppings
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is my pizza: You can add your
toppings
With the notable exception of database tables and pineapple
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Domain Events as lingua franca
Domain Events are a better choice for…
…describing the business
…implementing the supporting software
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Events are way better to prevent it
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Events as Published language
LOGISTICS
Sales OpenedLocal Events are
consistent with internal Language
TRANSLATION HAPPENS AT THE BORDER,
INCLUDING BUSINESS MEANING
General purpose events are more independent
from local implementation
Training Page published
PUBLISHING
MARKETING
Listening Bounded Contexts may subscribe and react accordingly
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They allow ZOOMING!
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From vision to detail (and back)
Big Picture EventsHot Spots, Systems, People
Conflicts, Goals, Blockers, Boundaries
Process Modelling
Events+ Policies, Commands,
Read Models
Value Proposition, Policies, Personas,
Individual Goals
Software Design
Events + AggregatesAggregates,
Policies, Read Models, IDs
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From vision to detail (and back)
Big Picture EventsHot Spots, Systems, People
Conflicts, Goals, Blockers, Boundaries
Process Modelling
Events+ Policies, Commands,
Read Models
Value Proposition, Policies, Personas,
Individual Goals
Software Design
Events + AggregatesAggregates,
Policies, Read Models, IDs
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From vision to detail (and back)
Big Picture EventsHot Spots, Systems, People
Conflicts, Goals, Blockers, Boundaries
Process Modelling
Events+ Policies, Commands,
Read Models
Value Proposition, Policies, Personas,
Individual Goals
Software Design
Events + AggregatesAggregates,
Policies, Read Models, IDs
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A tool for a purpose-driven organization
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Who are we making happy?
A tool for a purpose-driven organization
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Questions?
Every question is welcome, except
“When will you finish the book?”
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Questions?
Thank you!
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References
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References• www.eventstorming.com
• EventStormers on Google+
• https://plus.google.com/u/0/communities/113258571348605620818
• LeanPub book in progress:
• http://leanpub.com/introducing_eventstorming
• Blog:
• https://medium.com/@ziobrando
• http://ziobrando.blogspot.com
• Twitter: @ziobrando
• Trainings & Workshop facilitation:
• http://www.avanscoperta.it