High-Impact refactors keeping the lights on

Transcript

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   High-impact refactors keeping the lights on @Kartones Diego Muñoz

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   01. What 02. Why 03. How 04. When Agenda

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   What

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   What

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   What

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   Why

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   Why

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   Why

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   How

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    Mega structures How

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    Mega structures How

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    DB High-frequency selling How CMS API CRUD Current (simplified) flow

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    How Extend, not modify* API DB High-frequency selling CRUD CMS

    REDIS EVENT BUS EVENT BUS APU *do modify if needed to allow extension
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    Patterns & Practices - Parallel change - Strangler How API

    DB High-frequency selling CRUD CMS REDIS EVENT BUS EVENT BUS APU
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    How API DB High-frequency selling CRUD CMS REDIS EVENT BUS

    EVENT BUS APU Patterns & Practices - Event Bus - Cursor-based - N writers/readers
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    How API DB High-frequency selling CRUD CMS REDIS EVENT BUS

    EVENT BUS APU Patterns & Practices - Event Sourcing
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    How API DB High-frequency selling CRUD CMS REDIS EVENT BUS

    EVENT BUS APU “Build exciting things with boring nice technologies” - Python 3.6 · Strongly typed (Mypy) · Dockerized - Redis with LUA - AWS Kinesis github.com/ticketea/pynesis
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    When

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    When Continous Iteration - No hard deadline - Desired: soon

    :-)
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    Latest benchmark: ~4100 ops/sec - Single CPU core, 20k tickets,

    50k concurrent users - Attacking internal API - Room for optimization When
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    Current status: - Free events - Paid events on their

    way · Play safe (money involved!) · Lots of payment methods When
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    Release plan: - Now: Hack (Special payment method) - 1.0:

    Feature Toggling When
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    Rollout plan 01. Canary: big free event 02. Dark launch:

    on paid events 03. B/G: Gradual switch When
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    THE END Thanks! @Kartones