Serverless REST API
This example demonstrates how to setup a RESTful Web Services allowing you to create, list, get, update and delete Todos. FaunaDB is used to store the data.
Structure
This service has a separate directory for all the todo operations. For each operation exactly one file exists e.g. todos/delete.py
. In each of these files there is exactly one function defined.
The idea behind the todos
directory is that in case you want to create a service containing multiple resources e.g. users, notes, comments you could do so in the same service. While this is certainly possible you might consider creating a separate service for each resource. It depends on the use-case and your preference.
Use-cases
- API for a Web Application
- API for a Mobile Application
FaunaDB Secret
Visit https://fauna.com/serverless-cloud-sign-up to obtain a FAUNADB_SECRET
to use in serverless.yml
.
Setup
With your FaunaDB Secret in hand, set it in serverless.yml
environment: FAUNADB_SECRET: YOUR-SECRET-HERE
To avoid the error message DistutilsOptionError: must supply either home or prefix/exec-prefix -- not both
first is necessary create a python virtual environment
virtualenv -p `which python` venvsource venv/bin/activate
In order to make it easy to package in this example we're using the node plugin serverless-python-requirements
, so install it with
npm install
Deploy
In order to deploy the endpoint simply run
serverless deploy
The expected result should be similar to:
Serverless: Installing required Python packages...Serverless: Linking required Python packages...Serverless: Packaging service...Serverless: Unlinking required Python packages...Serverless: Uploading CloudFormation file to S3...Serverless: Uploading service .zip file to S3 (2.33 MB)...Serverless: Updating Stack...Serverless: Checking Stack update progress.........................................Serverless: Stack update finished...Serverless: Removing old service versions...Service Informationservice: serverless-rest-api-with-faunadbstage: devregion: us-east-1api keys: Noneendpoints: POST - https://bo19b9b32h.execute-api.us-east-1.amazonaws.com/dev/todos GET - https://bo19b9b32h.execute-api.us-east-1.amazonaws.com/dev/todos GET - https://bo19b9b32h.execute-api.us-east-1.amazonaws.com/dev/todos/{id} PUT - https://bo19b9b32h.execute-api.us-east-1.amazonaws.com/dev/todos/{id} DELETE - https://bo19b9b32h.execute-api.us-east-1.amazonaws.com/dev/todos/{id}functions: create: serverless-rest-api-with-faunadb-dev-create list: serverless-rest-api-with-faunadb-dev-list get: serverless-rest-api-with-faunadb-dev-get update: serverless-rest-api-with-faunadb-dev-update delete: serverless-rest-api-with-faunadb-dev-delete
Setup schema
Before you execute any command, first you have to setup a FaunaDB schema with the command:
serverless invoke --function schema
Usage
You can create, retrieve, update, or delete todos with the following commands:
Create a Todo
curl -X POST https://XXXXXXX.execute-api.us-east-1.amazonaws.com/dev/todos --data '{ "text": "Learn Serverless" }'
No output
List all Todos
curl https://XXXXXXX.execute-api.us-east-1.amazonaws.com/dev/todos
Example output:
[{"text": "Deploy my first service", "id": "159546695821033477", "checked": true, "updatedAt": 1479139961304}, {"text": "Learn Serverless", "id": "159547069624745989", "createdAt": 1479139943241, "checked": false, "updatedAt": 1479139943241}]
Get one Todo
# Replace the <id> part with a real id from your todos classcurl https://XXXXXXX.execute-api.us-east-1.amazonaws.com/dev/todos/<id>
Example Result:
{"text": "Learn Serverless", "id": "159547069624745989", "createdAt": 1479138570824, "checked": false, "updatedAt": 1479138570824}
Update a Todo
# Replace the <id> part with a real id from your todos classcurl -X PUT https://XXXXXXX.execute-api.us-east-1.amazonaws.com/dev/todos/<id> --data '{ "text": "Learn Serverless", "checked": true }'
Example Result:
{"text": "Learn Serverless", "id": "159547069624745989", "createdAt": 1479138570824, "checked": true, "updatedAt": 1479138570824}
Delete a Todo
# Replace the <id> part with a real id from your todos classcurl -X DELETE https://XXXXXXX.execute-api.us-east-1.amazonaws.com/dev/todos/<id>
No output
Scaling
AWS Lambda
By default, AWS Lambda limits the total concurrent executions across all functions within a given region to 100. The default limit is a safety limit that protects you from costs due to potential runaway or recursive functions during initial development and testing. To increase this limit above the default, follow the steps in To request a limit increase for concurrent executions.