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How Flow Works • James Lewis • GOTO 2024
Learn how to optimize software delivery flow through queuing theory, self-service platforms, batch size reduction & preventing congestion collapse in complex systems.
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Flow is controlled through occupancy and work process limits - reducing batch sizes and limiting work in progress improves throughput
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Queuing theory explains three main types of wait times that impact flow:
- Coordination (waiting on other teams)
- Scheduling/cadence (regular meetings)
- Queues (work waiting to be processed)
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Self-service platforms and infrastructure-as-a-service improve flow by removing human bottlenecks and scaling beyond manual processes
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Change request boards and approval processes predict low performance according to research - they block work flow for extended periods
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Reducing batch sizes can improve throughput by an order of magnitude without adding capacity or utilization, simply by deploying more frequently
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Congestion collapse occurs when there is too much work in progress - controlling occupancy through WIP limits helps prevent this
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Value stream mapping helps visualize work flow and identify bottlenecks in the system that slow delivery
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Team topologies and Conway’s Law influence how work flows through an organization’s structure
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Platform engineering teams need product management to avoid becoming bottlenecks themselves
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Agent-based modeling and simulation can help predict and improve flow patterns in software delivery