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@pragagile
Stefan Holdermans
Devopsdays Eindhoven 2023
Dealing with drag
@pragagile
McKinsey controversy
@pragagile
McKinsey controversy
@pragagile
McKinsey controversy
@pragagile
McKinsey controversy
Individual
@pragagile
McKinsey controversy
Individual
Team
@pragagile
McKinsey controversy
Individual
Organisation
Team
@pragagile
McKinsey controversy
Individual
Organisation
Team
Don’t!
@pragagile
McKinsey controversy
Individual
Organisation
Team
Don’t!
What
@pragagile
McKinsey controversy
Individual
Organisation
Team
Don’t!
How
What
@pragagile
McKinsey controversy
Individual
Organisation
Team
Don’t!
How
What
@pragagile
It’s all about
fl
ow
@pragagile
What is
fl
ow?
@pragagile
What is
fl
ow?
• Smooth and uninterrupted movement of work
@pragagile
What is
fl
ow?
• Smooth and uninterrupted movement of work
• Steady and e
ffi
cient progression through the SDLC
@pragagile
What is
fl
ow?
• Smooth and uninterrupted movement of work
• Steady and e
ffi
cient progression through the SDLC
• Effective delivery of value
@pragagile
What is drag?
@pragagile
What is drag?
• Opposite of
fl
ow
@pragagile
What is drag?
• Opposite of
fl
ow
• Delays
@pragagile
What is drag?
• Opposite of
fl
ow
• Delays
• Bottlenecks
@pragagile
What is drag?
• Opposite of
fl
ow
• Delays
• Bottlenecks
• Excessive interruptions
@pragagile
Unnecessary toil
@pragagile
Unnecessary toil
• Manual deployments
@pragagile
Unnecessary toil
• Manual deployments
• Manual testing
@pragagile
Unnecessary toil
• Manual deployments
• Manual testing
• Figuring out how things work
@pragagile
Unnecessary toil
• Manual deployments
• Manual testing
• Figuring out how things work
• Frequent
fi
re
fi
ghting
@pragagile
Unnecessary toil
• Manual deployments
• Manual testing
• Figuring out how things work
• Frequent
fi
re
fi
ghting
• Overly complex con
fi
gurations
@pragagile
Unnecessary toil
• Manual deployments
• Manual testing
• Figuring out how things work
• Frequent
fi
re
fi
ghting
• Overly complex con
fi
gurations
• Ine
ffi
cient meetings
@pragagile
Unnecessary toil
• Manual deployments
• Manual testing
• Figuring out how things work
• Frequent
fi
re
fi
ghting
• Overly complex con
fi
gurations
• Ine
ffi
cient meetings
• …
@pragagile
Technical debt
@pragagile
Technical debt
• Trading longer-term maintainability for short-term convenience
@pragagile
Technical debt
• Trading longer-term maintainability for short-term convenience
• Time immediately won is the “loan”
@pragagile
Technical debt
• Trading longer-term maintainability for short-term convenience
• Time immediately won is the “loan”
• Higher cost of future changes is the “interest”
@pragagile
Technical debt
• Trading longer-term maintainability for short-term convenience
• Time immediately won is the “loan”
• Higher cost of future changes is the “interest”
• Taking on debt is not inherently bad
@pragagile
What colour is your backlog?
@pragagile
What colour is your backlog?
@pragagile
What colour is your backlog?
Visible Invisible
Positive value
Negative value
@pragagile
What colour is your backlog?
Features
Visible Invisible
Positive value
Negative value
@pragagile
What colour is your backlog?
Features
Defects
Visible Invisible
Positive value
Negative value
@pragagile
What colour is your backlog?
Features
Architecture
Infrastructure
Defects
Visible Invisible
Positive value
Negative value
@pragagile
What colour is your backlog?
Features
Architecture
Infrastructure
Defects Technical debt
Visible Invisible
Positive value
Negative value
@pragagile
Software metabolism
@pragagile
Basal metabolic rate
@pragagile
Basal metabolic rate
• The energy your body uses at rest to keep basic functions running (e.g.,
breathing and cell repair)
@pragagile
Basal metabolic rate
• The energy your body uses at rest to keep basic functions running (e.g.,
breathing and cell repair)
• Decreases with age
@pragagile
Basal metabolic rate of software
@pragagile
Basal metabolic rate of software
Eduardo Ferro Aldama
@pragagile
Basal metabolic rate of software
Eduardo Ferro Aldama
t
€
@pragagile
Basal metabolic rate of software
Eduardo Ferro Aldama
t
€
@pragagile
Basal metabolic rate of software
Eduardo Ferro Aldama
t
€
@pragagile
Basal metabolic rate of software
Eduardo Ferro Aldama
t
€
@pragagile
Basal metabolic rate of software
Eduardo Ferro Aldama
t
€
@pragagile
Basal metabolic rate of software
Eduardo Ferro Aldama
t
€
@pragagile
Basal metabolic rate of software
Eduardo Ferro Aldama
t
€
@pragagile
Basal metabolic rate of software
Eduardo Ferro Aldama
t
€
@pragagile
Basal metabolic rate of software
Eduardo Ferro Aldama
t
€
x
@pragagile
Where to start optimising?
@pragagile
Value-stream mapping
@pragagile
Value-stream mapping
Backlog
In
progress
Peer
review
Deployment Done
@pragagile
Value-stream mapping
Backlog
In
progress
Peer
review
Deployment Done
6 days 3 hours 1 hour
Work
52 hours
@pragagile
Value-stream mapping
Backlog
In
progress
Peer
review
Deployment Done
6 days 3 hours 1 hour
Work
52 hours
1.5 days 2 hours
Wait
16 hours
@pragagile
Value-stream mapping
78 days
Backlog
In
progress
Peer
review
Deployment Done
6 days 3 hours 1 hour
Work
52 hours
1.5 days 2 hours
Wait
16 hours
@pragagile
Pull requests
@pragagile
Pull requests
• Context switches
@pragagile
Pull requests
• Context switches
• Wait times
@pragagile
Pull requests
• Context switches
• Wait times
• Asynchronous communication
@pragagile
Pair programming
@pragagile
Pair programming
• Real-time collaboration
@pragagile
Pair programming
• Real-time collaboration
• Immediate feedback loop
@pragagile
Pair programming
• Real-time collaboration
• Immediate feedback loop
• Stronger team dynamics
@pragagile
Pair programming
Backlog
In
progress
Deployment Done
6 days 1 hour
Work
52 hours
2 hours
Wait
16 hours
Peer
review
3 hours
1.5 days
@pragagile
Pair programming
Backlog
In
progress
Deployment Done
6 days 1 hour
Work
52 hours
2 hours
Wait
16 hours
@pragagile
Pair programming
Backlog
In
progress
Deployment Done
6 days 1 hour
Work
49 hours
2 hours
Wait
2 hours
@pragagile
Takeaways
@pragagile
Takeaways
• Achieving
fl
ow often means reducing drag
@pragagile
Takeaways
• Achieving
fl
ow often means reducing drag
• Reducing does not always mean eliminating
@pragagile
Takeaways
• Achieving
fl
ow often means reducing drag
• Reducing does not always mean eliminating
• Use data to
fi
gure out what to optimise
@pragagile
Thank you

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Dealing with drag