This is a reference architecture for API-based applications with MongoDB Atlas, APIGW, and Lambda
MongoDB Atlas is an all-purpose database having features like Document Model, Geo-spatial, TimeSeries, hybrid deployment, and multi-cloud services. It evolved as a "Developer Data Platform", intended to reduce the developer's workload on development and management of the database environment. It also provides a free tier to test out the application/database features.
Amazon API Gateway is a fully managed service that makes it easy for developers to create, publish, maintain, monitor, and secure APIs at any scale.
Amazon Cognito User pool helps you to deliver frictionless customer identity and access management (CIAM) with a cost-effective and customizable platform. Helps you to add security features such as adaptive authentication, support compliance, and data residency requirements. It can scale to millions of users across devices with a fully managed, high-performing, and reliable identity store.
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This demo, instructions, scripts, and cloudformation template are designed to be run in
us-east-1
. With a few modifications, you can try it out in other regions as well. Make sure to change REGION_NAME in global_args.py if not using US-EAST-1-
AWS CLI Installed & Configured
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AWS CDK Installed & Configured
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MongoDB Atlas Account
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MongoDB Atlas CDK Setup. Please ensure only the below setup portion of this link is completed. Not needed to complete the full demo.
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Python Packages :
- Python3 -
yum install -y python3
- Python Pip -
yum install -y python-pip
- Virtualenv -
pip3 install virtualenv
- Python3 -
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Get the application code
git clone https://github.com/mongodb-partners/Microservice_Application_with_MongoDBAtlas_AWSCDK_APIGW_Lambda.git cd aws_mongodb_sample_dir
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We will use
cdk
to make our deployments easier. Let's go ahead and install the necessary components. Use the link to copy MongoDB Atlas Organization ID# You should have npm pre-installed # If you DONT have cdk installed npm install -g aws-cdk # Make sure you in root directory python3 -m venv .venv source .venv/bin/activate pip3 install -r requirements.txt cd aws_mongodb_sample pip install --target ./dependencies pymongo cd .. # Set Environment Variables export ORG_ID="<ORG_ID>" export MONGODB_USER="<MONGODB_USER>" export MONGODB_PASSWORD="<MONGODB_PASSWORD>" cdk bootstrap aws://<ACCOUNT_NUMBER>/<AWS-REGION>
cdk ls # Follow on screen prompts
You should see an output of the available stacks,
AwsMongodbAtlasCreateStack AwsMongodbSampleStack
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Let us walk through each of the stacks,
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Stack: AwsMongodbAtlasCreateStack
This stack will create four resources and return Mongo Db Atlas URL
a) MongoDB::Atlas::Cluster
b) MongoDB::Atlas::Project
c) MongoDB::Atlas::DatabaseUser
d) MongoDB::Atlas::ProjectIpAccessList
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Stack: AwsMongodbSampleStack
This stack will create
a) Secret for storing ATLAS DB URI
b) Cognito User Pool for API Authentication
c) Lambda function that will create a database , insert dummy data and return document count
d) API Gateway backed by the lambda function created above
cdk deploy --all
After successfully deploying the stack, Check the
Outputs
section of the stack aws_mongodb_sample_stack, you will see ApiGatewayEndpoint created.
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Navigate to the Cognito user pool and copy the User Pool ID and Client ID (App Integration tab) from the Cognito User pool
Open Cloud Shell and create a user with the command mentioned below
aws cognito-idp admin-create-user --user-pool-id <YOUR_USER_POOL_ID> --username apigwtest
Once the user is created since it’s created by admin we will have to force change the password by running the below command
aws cognito-idp admin-set-user-password --user-pool-id <YOUR_USER_POOL_ID> --username apigwtest --password <PASSWORD> --permanent
Replace the User Pool ID and Client ID copied in the above step and also replace the user name and password of the user created above
aws cognito-idp admin-initiate-auth --user-pool-id <YOUR_USER_POOL_ID> --client-id <CLIENT_ID> --auth-flow ADMIN_NO_SRP_AUTH --auth-parameters USERNAME=apigwtest,PASSWORD=<PASSWORD>
Copy the ID Token created from the above step and run the below command to test the API. Copy the API_GATEWAY_ENDPOINT from the API Gateway console --> API Gateway: APIs: ApiGateway (xxxxxx) :Stages
curl --location --request GET 'https://<API_GATEWAY_ENDPOINT>.execute-api.us-east-1.amazonaws.com/dev' --header 'Content-Type: application/json' --header 'Authorization: <ID_TOKEN>'
Use cdk destroy --all
to clean up all the AWS CDK resources.
Terminate the MongoDB Atlas cluster.
Refer to this link to resolve some common issues encountered when using AWS CloudFormation/CDK with MongoDB Atlas Resources.
cdk ls
lists all stacks in the appcdk synth
emits the synthesized CloudFormation templatecdk deploy
deploy this stack to your default AWS account/regioncdk diff
compares the deployed stack with the current statecdk docs
open CDK documentation
Enjoy!