Appsync Repo Review

appsync-repo/ ├── .github/ # CI/CD workflows (GitHub Actions) ├── infrastructure/ # IaC (CDK, Terraform, SAM) │ ├── stacks/ │ │ ├── api-stack.ts # Creates AppSync API │ │ ├── datasource-stack.ts# DynamoDB, RDS, Elasticsearch │ │ └── auth-stack.ts # Cognito User Pools, IAM roles │ └── config/ # Environment-specific variables │ ├── dev.json │ ├── staging.json │ └── prod.json ├── schema/ # GraphQL schema definition │ ├── schema.graphql # Root schema │ ├── types/ │ │ ├── user.graphql │ │ ├── product.graphql │ │ └── order.graphql │ └── directives/ # Custom @aws_* directives ├── resolvers/ # Resolver logic (VTL or JS) │ ├── functions/ # Pipeline resolver functions │ │ ├── getUser.js │ │ ├── createProduct.js │ │ └── validateOrder.vtl │ └── mappings/ # Request/response templates │ ├── request.vtl │ └── response.vtl ├── functions/ # Lambda resolvers (Code) │ ├── getOrders/ │ │ ├── index.py │ │ └── requirements.txt │ └── processPayment/ │ ├── index.js │ └── package.json ├── tests/ # Integration & unit tests │ ├── queries/ │ │ └── getProduct.graphql │ ├── mutations/ │ └── subscriptions/ ├── scripts/ # Utility scripts │ ├── seed-database.js │ └── validate-schema.sh └── README.md # Onboarding & runbooks Let’s dissect the most critical folders. 1. The schema/ Directory: The API Contract The schema.graphql file is the heart of your AppSync repo. Do not write it as one monolithic file. Use #import syntax (supported by AWS Amplify and CDK) to split it.

Example: resolvers/functions/getUser.js (APPSYNC_JS)

In the modern cloud-native ecosystem, the term "AppSync Repo" can be ambiguous. For some, it refers to the AWS AppSync service itself—a managed GraphQL API layer. For developers and platform engineers, however, an AppSync Repo is the code repository (GitHub, GitLab, Bitbucket) containing the Infrastructure as Code (IaC), resolvers, schemas, and lambda functions that power that API. appsync repo

type User @model id: ID! email: String! @aws_cognito_user_pools profilePic: String posts: [Post] @hasMany

import util from '@aws-appsync/utils'; export function request(ctx) return operation: 'GetItem', key: id: util.dynamodb.toDynamoDB(ctx.args.id) , ; appsync-repo/ ├──

For complex logic (external APIs, aggregation, business rules), you need Lambda resolvers. Treat each Lambda as its own micro-project inside the repo.

# supergraph.yaml subgraphs: users: url: https://users.appsync-api.aws.com/graphql products: url: https://products.appsync-api.aws.com/graphql Your CI/CD pipeline would then validate that no field conflicts exist across subgraphs. The term "AppSync Repo" is more than a folder on GitHub; it is the operational backbone of your real-time, serverless GraphQL infrastructure. By investing in a clean directory structure, rigorous CI/CD, and local testability, you turn your repository into a deployment pipeline , a source of truth , and a collaboration hub . Do not write it as one monolithic file

Example: types/user.graphql