Graphql on production with AWS

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1. @bogdanned github.com/bogdanned
   GraphQL @production on AWS
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2. @bogdanned github.com/bogdanned
   – The Wikipedia
   “In the context of computer programming, magic … it is
   used to describe code that handles complex tasks while
   hiding that complexity to present a simple interface. ”
   !2
   

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3. @bogdanned github.com/bogdanned
   @production
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   - critical user impact
   - limited replicability
   - resilience && scalability$
   

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4. @bogdanned github.com/bogdanned !4
   - Schema Design @production
   - System Design with Graphql
   

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5. @bogdanned github.com/bogdanned !5
   - Schema Design @production
   - System Design with Graphql
   

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6. @bogdanned github.com/bogdanned !6
   - Superfluous Resolver Calls
   
   

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7. @bogdanned github.com/bogdanned !7
   

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8. @bogdanned github.com/bogdanned !8
   

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9. @bogdanned github.com/bogdanned !9
   So should we dataload the whole thing?
   Requests Saved = NP - NC
   
   

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10. @bogdanned github.com/bogdanned !10
    - Schema Design @production
    - System Design with Graphql
    

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11. @bogdanned github.com/bogdanned !11
    - Schema Design @production
    - System Design with Graphql
    

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12. @bogdanned github.com/bogdanned
    What does GraphQL implies for our systems?
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13. @bogdanned github.com/bogdanned !13
    –The GraphQL Website
    “GraphQL is a query language for your API, and a server-side runtime
    for executing queries by using a type system you define for your data.”
    

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14. @bogdanned github.com/bogdanned
    –Johnny Appleseed
    Under the hood …
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    - The Api Gateway pattern
    - The Enterprise Data Model pattern
    - The Integration Database pattern
    - The Backend for Front End pattern: BFFF
    

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15. @bogdanned github.com/bogdanned
    –Johnny Appleseed
    Under the hood …
    !15
    - The Api Gateway pattern
    - The Enterprise Data Model pattern
    - The Integration Database pattern
    - The Backend for Front End pattern: BFFF
    
    

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16. @bogdanned github.com/bogdanned !16
    - service client coupling
    - too many round trips
    - redundant edge functions
    

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17. @bogdanned github.com/bogdanned !17
    

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18. @bogdanned github.com/bogdanned !18
    - reverse proxy
    - gateway offloading
    - request aggregation
    

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19. @bogdanned github.com/bogdanned
    - single point of failure
    - vertical scaling
    - horizontal scaling )
    - release coupling
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20. @bogdanned github.com/bogdanned
    –Johnny Appleseed
    Under the hood …
    !20
    - The Api Gateway pattern
    - The Enterprise Data Model pattern
    - The Integration Database pattern
    - The Backend for Front End pattern: BFFF
    
    

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21. @bogdanned github.com/bogdanned !21
    Apollo Federation
    -separation of concerns
    -distributed graph
    -development tooling
    

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22. @bogdanned github.com/bogdanned !22
    -heterogeneity
    -schema matching
    -schema mapping
    Federated Database
    

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23. @bogdanned github.com/bogdanned
    – Phil Calcado, Some thoughts on GraphQL vs. BFF 2019
    “ .. it is hard for me to believe that you can combine the needs of
    many different applications, owned by different teams, with different
    users and use cases, in a single schema”
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24. @bogdanned github.com/bogdanned !24
    
    Which amount?
    

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25. @bogdanned github.com/bogdanned
    –Johnny Appleseed
    Under the hood …
    !25
    - The Api Gateway pattern
    - The Enterprise Data Model pattern
    - The Integration Database pattern
    - The Backend for Front End pattern: BFFF
    ,
    

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26. @bogdanned github.com/bogdanned !26
    

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27. @bogdanned github.com/bogdanned
    Thank @you !
    !27
    
    

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