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Beyond The Buzzwords - Microservices and Event-Driven Architecture

Ryan Townsend
September 26, 2018

Beyond The Buzzwords - Microservices and Event-Driven Architecture

Talk given at Dreamforce 2018, September 26th 2018 in Moscone West, San Francisco.

Let's set aside the marketing spin for a moment and focus on the real-world problems that microservices and event streams can solve for us. We'll explore why you should consider these patterns, the exciting technologies that support them, such as Apache Kafka, and most importantly, how you can set aside your fears and be confident in what you're building now and the future.

Ryan Townsend

September 26, 2018
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  1. Beyond the Buzzwords:
    Microservices and Event-Driven Architecture

    with Apache Kafka on Heroku
    Ryan Townsend
    SHIFT Commerce CTO
    Chris Castle
    Heroku Developer Advocate

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  2. This presentation may contain forward-looking statements that involve risks, uncertainties, and assumptions. If any such uncertainties materialize or if any of the
    assumptions proves incorrect, the results of salesforce.com, inc. could differ materially from the results expressed or implied by the forward-looking statements we
    make. All statements other than statements of historical fact could be deemed forward-looking, including any projections of product or service availability, subscriber
    growth, earnings, revenues, or other financial items and any statements regarding strategies or plans of management for future operations, statements of belief,
    any statements concerning new, planned, or upgraded services or technology developments and customer contracts or use of our services.
    The risks and uncertainties referred to above include – but are not limited to – risks associated with developing and delivering new functionality for our service, new
    products and services, our new business model, our past operating losses, possible fluctuations in our operating results and rate of growth, interruptions or delays
    in our Web hosting, breach of our security measures, the outcome of any litigation, risks associated with completed and any possible mergers and acquisitions, the
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    Salesforce.com, inc. assumes no obligation and does not intend to update these forward-looking statements.
    Statement under the Private Securities Litigation Reform Act of 1995
    Forward-Looking Statement

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  3. Why are we here?
    @ryantownsend / @crc Slides: https://bit.ly/2zx3TW2

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  4. Anxiety
    @ryantownsend / @crc Slides: https://bit.ly/2zx3TW2

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  5. Monoliths and Microservices
    @ryantownsend / @crc Slides: https://bit.ly/2zx3TW2

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  6. “There is no industry consensus yet regarding the properties
    of microservices, and an official definition is missing as well.”

    - Wikipedia
    @ryantownsend / @crc Slides: https://bit.ly/2zx3TW2

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  7. [email protected]
    Ryan Townsend, CTO
    [email protected]
    Chris Castle, Developer Advocate
    @ryantownsend / @crc Slides: https://bit.ly/2zx3TW2

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  8. 20 minutes
    No time for questions!
    @ryantownsend / @crc Slides: https://bit.ly/2zx3TW2

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  9. Why the hype around microservices?
    @ryantownsend / @crc Slides: https://bit.ly/2zx3TW2

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  10. All the cool kids are doing it
    @ryantownsend / @crc Slides: https://bit.ly/2zx3TW2

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  11. But what are the real benefits?
    @ryantownsend / @crc Slides: https://bit.ly/2zx3TW2

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  12. @ryantownsend / @crc Slides: https://bit.ly/2zx3TW2
    Strong Module
    Boundaries
    Independent
    Deployment
    Technology
    Diversity
    Source: Martin Fowler, ThoughtWorks

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  13. If this isn’t you, that’s ok!
    @ryantownsend / @crc Slides: https://bit.ly/2zx3TW2

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  14. Because there is a price to pay
    @ryantownsend / @crc Slides: https://bit.ly/2zx3TW2

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  15. Data / Functionality Distribution
    Eventual Consistency
    Operational Complexity
    @ryantownsend / @crc Slides: https://bit.ly/2zx3TW2
    Source: Martin Fowler, ThoughtWorks

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  16. How do we mitigate these?
    @ryantownsend / @crc Slides: https://bit.ly/2zx3TW2

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  17. Demo Time!
    @ryantownsend / @crc Slides: https://bit.ly/2zx3TW2

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  18. Solution: Data / Functionality Distribution
    @ryantownsend / @crc Slides: https://bit.ly/2zx3TW2

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  19. Solution: Data / Functionality Distribution
    @ryantownsend / @crc Slides: https://bit.ly/2zx3TW2
    n * (n-1) / 2
    Max possible connections

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  20. Solution: Data / Functionality Distribution
    @ryantownsend / @crc Slides: https://bit.ly/2zx3TW2
    Source: AWS

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  21. Solution: Data / Functionality Distribution
    Digital Asset
    Management
    Product
    Information
    Management
    Upload product-123.jpg!
    Admin Panel
    Photographer
    Database or
    Search Index
    Merchandiser
    @ryantownsend / @crc Slides: https://bit.ly/2zx3TW2
    Chronological Event Stream (Kafka)
    Uploaded Event
    What images can I
    attach to my products?
    Uploaded Event
    Add image to index

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  22. Solution: Eventual Consistency
    Digital Asset
    Management
    Product
    Information
    Management
    Delete product-123.jpg!
    Admin Panel
    Photographer
    Merchandiser
    @ryantownsend / @crc Slides: https://bit.ly/2zx3TW2
    Event
    Create Product #123 with
    product-123.jpg
    Event
    Send to trash
    Event
    Untrash
    Admin Panel
    Chronological Event Stream (Kafka)

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  23. Start with monolith and
    extract pieces – build
    up your maturity
    Solution: Operational Complexity
    @ryantownsend / @crc Slides: https://bit.ly/2zx3TW2

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  24. Cost of engineers vs
    cost of Heroku
    Solution: Operational Complexity
    @ryantownsend / @crc Slides: https://bit.ly/2zx3TW2
    Opportunity Cost!

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  25. Maturity of engineers
    vs maturity of Heroku
    Solution: Operational Complexity
    @ryantownsend / @crc Slides: https://bit.ly/2zx3TW2

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  26. Simplicity of using
    Apache Kafka in
    Heroku
    Solution: Operational Complexity
    @ryantownsend / @crc Slides: https://bit.ly/2zx3TW2

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  27. • Start with a monolith and break
    out services from there
    • Use Heroku ¯\_(ツ)_/¯
    • Isolate consistency concerns
    • Ensure each service is self-
    serving

    e.g. own data stores
    • Handle via UI, acknowledgement
    • Use event stream

    e.g. Apache Kafka
    Distribution
    Eventual
    Consistency
    Operational
    Complexity
    @ryantownsend / @crc Slides: https://bit.ly/2zx3TW2

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  28. How the approach grows
    @ryantownsend / @crc Slides: https://bit.ly/2zx3TW2

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  29. @ryantownsend / @crc Slides: https://bit.ly/2zx3TW2
    Streaming
    Platform
    Store 1 Store 2 Online Store Distribution Centre Online Marketing
    POS
    Stream
    Inventory
    Stream
    Remarketing
    Stream
    Retail
    Monitoring Reporting
    Data
    Warehouse
    Inventory
    Service
    Logistics
    Service
    Purchasing
    Service
    Profile
    Update
    Service
    Remarketing
    Service
    Source: Confluent

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  30. @ryantownsend / @crc Slides: https://bit.ly/2zx3TW2
    Source: AWS

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  31. Elephant in the room:
    Scaling
    @ryantownsend / @crc Slides: https://bit.ly/2zx3TW2

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  32. @ryantownsend / @crc Slides: https://bit.ly/2zx3TW2
    Monoliths can scale more than you might think…
    e.g.

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  33. take a photo of this slide, or download at https://bit.ly/2zx3TW2
    @ryantownsend / @crc Slides: https://bit.ly/2zx3TW2

    Last year’s talk - more on Event Streams

    https://hrku.co/df17-event-streams

    Microservices Resource Guide

    https://hrku.co/microservices-guide

    Deconstructing Monolithic Applications into Services

    https://hrku.co/deconstructing-monoliths

    How Small Should Your Microservices Be?

    https://hrku.co/microservice-sizing
    Next Steps
    Summary

    Monoliths are okay - microservices aren’t a silver
    bullet

    Start with a monolith - migrate as a journey not a
    single project

    Having a centralised source of truth will set you up
    for success - Apache Kafka is a great solution

    Heroku makes it quick and easy to get started and
    provides the DevOps maturity

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