Awesome
Serverless GraphQL API A Nanny APP
This project has been well documented and is currently being served on EduCloud Academy.
Follow that link to learn more about accelerating your cloud skills through hands on labs
content structure
content
|- Introduction
|- the_problem.md
|- proposed_solution.md
|- overview.md
|- introduction.md
|- Application Resoure
|- dynamo_db_design.md
|- access_patters.md
|- global_secondary_index.md
|- GraphQL Schema and Endpoints
|- graphql_schema.md
|- mutations.md
|- queries.md
|- create_api
|- initialize_sam_project.md
|- installing_lambda_powertools.md
|- cognito_user_pools_and_graphql_api.md
|- roles_and_policies.md
|- datasources.md
|- Resolvers
|- create_user.md
|- update_user.md
|- get_user.md
|- create_job.md
|- list_all_jobs.md
|- apply_to_job.md
|- book_a_nanny.md
|- designing_step_function_workflow.md
|- add_sqs_queue.md
|- add_state_machine_resource.md
|- Conclusion
|- conclusion.md
Load testing results of the book_nanny endpoint, when using step functions versus using lambda. Step functions did the task within half the time it took for lambda to get it done
Express Step Functions Workflow
Requests [total, rate, throughput]
3000, 50.02, 49.75
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Duration [total, attack, wait]
1m0s, 59.98s, 327.514ms
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Latencies [min, mean, 50, 90, 95, 99, max]
260.937ms, 373.937ms, 343.769ms, 480.176ms, 544.639ms, 928.78ms, 1.555s
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Lambda Function
Requests [total, rate, throughput]
3000, 50.02, 49.26
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Duration [total, attack, wait]
1m1s, 59.976s, 930.822ms
-------------------------------------------------------------------
Latencies [min, mean, 50, 90, 95, 99, max]
267.713ms, 549.823ms, 457.517ms, 606.87ms, 720.902ms, 2.723s, 3.432s
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Local Development & Testing
You can deploy the application on your local machine without needing an AWS account, using LocalStack. LocalStack is a cloud emulator that runs various AWS services on your local machine. It spins up a testing environment on your local machine that provides the same functionality and APIs as the real AWS cloud environment.
To run the application locally, you need to setup the following prerequisites on your machine:
Run LocalStack
Before you can run the application locally, you need to start LocalStack. You can do this by running the following command:
export LOCALSTACK_AUTH_KEY=<YOUR_AUTH_KEY>
localstack start -d
If you don't have an auth key, you can get one by creating an account on LocalStack Web Application and signing up for a Hobby Plan.
Build the application
You can build the SAM application by running the following command:
sam build --use-container
Deploy the application
After successfully building the application, you can deploy it locally by running the following command:
samlocal deploy --resolve-s3
The samlocal script is a wrapper around the sam CLI that configures the endpoint URL parameter for each AWS service to point to the LocalStack container.
After a successful deployment, you should see the following output:
CloudFormation outputs from deployed stack
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Outputs
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Key BabySitterFunction
Description Baby Sitter Lambda Function ARN
Value arn:aws:lambda:us-east-2:000000000000:function:babysitter-api-BabySitterFunction-408fbb55
Key UpdateJobApplicationsFunction
Description Baby Sitter Lambda Function ARN
Value arn:aws:lambda:us-east-2:000000000000:function:babysitter-api-UpdateJobApplicationsFun-5dc02b4b
Key BabySitterAPI
Description -
Value arn:aws:appsync:us-east-2:000000000000:apis/3e0b4c6ec0004ba782701b6b2e
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Successfully created/updated stack - babysitter-api in us-east-2