This document discusses building a scalable cloud API gateway using AWS AppSync. It covers some of the challenges of building custom GraphQL servers like security, scalability, developer velocity, and costs. It then introduces AWS AppSync as a managed GraphQL service and how it addresses these challenges. The steps to define a schema, configure authentication, choose data sources, and write resolver logic in AWS AppSync are outlined. Finally, deployment options for AWS AppSync like AWS Amplify, AWS CDK, and Serverless Framework are mentioned along with a live demo.

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cloud api gateway
Building a highly scalable
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Nader Dabit
Senior Developer Advocate - AWS
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Table of Contents
Why building a custom GraphQL server is hard
01.GraphQL Challenges
Intro to GraphQL API development on AWS
02.AWS AppSync
Building a GraphQL API gateway with AWS
AppSync and AWS CDK
03.Live Coding
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GraphQL
Challenges
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Security
authentication
authorization
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fine-grained access control
malicious queries
ddos

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GraphQL challenges
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Scalability
scaling up and down
subscriptions at scale
infrastructure provisioning
underlying resources

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Developer
Velocity
versioning
creating new features
adding additional data sources
api complexity
experimentation
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Cost
infrastructure
developer hours
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opportunity cost

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AWS AppSync
Managed GraphQL Service from AWS
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Why managed services?
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AWS AppSync
1.Define schema

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2. Configure auth types
AWS AppSync

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3.Choose data sources
AWS AppSync

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4.Write resolver logic
AWS AppSync

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🚀 Deploy your API
AWS AppSync

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Deployment Options
AWS AppSync
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🚀
● AWS Amplify
● AWS CDK
● Serverless Framework
● Anything that supports CloudFormation
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Deployment Options
AWS AppSync

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AWS Amplify
graphql code generation
graphql transform library
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boilerplate generation
amplify datastore
auto-client configuration
AWS AppSync

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AWS CDK
infrastructure as code
familiar languages
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concise syntax
rapidly growing community
integrates with amplify
AWS AppSync

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Live Demo!
AWS AppSync

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docs.amplify.aws/
Resources
aws.amazon.com/appsync/
aws.amazon.com/cdk

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Thank you!
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