New serverless pattern - appsync-lambda-dynamodb-athena-dotnet-cdk #2479
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Issue #, if available:
N/A
Description of changes:
This pull request implements a new serverless pattern demonstrating a GraphQL API with hot and cold data storage using AWS AppSync, Lambda, DynamoDB, S3, and Athena. The key changes include:
Created a new CDK stack (GraphqlHotColdStorageCdkStack) that sets up:
Implemented Lambda functions that serve as resolvers for the GraphQL API:
Set up a GraphQL schema that provides unified querying for both hot and cold data
Configured IAM permissions to allow secure interactions between services:
Created comprehensive test cases for both Lambda functions and the overall GraphQL API
Added detailed README.md with information about the pattern, its architecture, deployment instructions, and testing procedures
Included an example-pattern.json file describing the serverless pattern for the Serverless Land website
This pattern showcases an efficient approach to managing data with varying access patterns, demonstrating how to combine multiple AWS services to create a scalable and cost-effective serverless architecture.
By submitting this pull request, I confirm that you can use, modify, copy, and redistribute this contribution, under the terms of your choice.