Serverless API
The Lambda API template provides a template for defining an API using the AWS API Gateway HTTP API. It is designed to allow for rapid development with minimal configuration by defining API routes using folders and source files similar to the way APIs are defined in Next.js.
Features
- Low latency, low cost and highly scalable by using the new AWS HTTP API
- Minimal cold start times by bundling the source code of each endpoint into separate Lambda functions
- Fast packing and deployment using esbuild
- Rapid configuration by dynamically defining routes through placing source files
- All infrastructure defined in Terraform for easy customisation
- Lightweight local testing by emulating API with a custom Express.js server
- TypeScript, ESLint and Prettier configured
Configure
The following key properties need to be configured for this template:
- Lambda Name Prefix: The prefix to be used by Lambda names generated by this template for the defined routes.
- API Domain: The domain where the API should be deployed to. For instance, to be able to call the API endpoint
https://api.mydomain.com/
the API domainapi.mydomain.com
needs to be configured. - Hosted Zone Domain: A Route 53 hosted zone that will allow adding the API Domain as a record. For instance, in order to configure the API domain
api.mydomain.com
, the hosted zonesapi.mydomain.com
ormydomain.com
would be valid. For more details, please check Hosted Zone Configuration in the Goldstack documentation. - CORS Header: An optional CORS header to enable a UI that is hosted on a different domain to access this API. For instance, for a UI that is deployed to the domain
ui.mydomain.com
the CORS headerhttps://ui.mydomain.com
should be supplied. To learn more about CORS, see the Cross-Origin Resource Sharing (CORS) in the MDN docs.
Getting Started
1. Project Setup
Before using this template, you need to configure the project. For this, please see the Getting Started Guide on the Goldstack documentation.
2. Setup Infrastructure
To stand up the infrastructure for this module, find the directory for this module in the packages/
folder and navigate to this folder in the command line. Then identify the name of the deployment you have defined in the Goldstack configuration tool. This can be found in the packages/[moduleName]/goldstack.json
file. Look for the "deployments"
property and there for the "name"
of the first deployment. The name should either be dev
or prod
.
In order to stand up the infrastructure, run the following command:
yarn infra up [deploymentName]
This will be either yarn infra up dev
or yarn infra up prod
depending on your choice of deployment. Note that running this command can take a while.
Note that your API will not work yet. It first needs to be deployed as per instructions below.
3. Deploy Application
Once the infrastructure is successfully set up in AWS using yarn infra up
, we can deploy the module. For this, simply run the following command:
yarn deploy [deploymentName]
This will either be yarn deploy dev
or yarn deploy prod
depending on your choice of deployment during project configuration.
You should now be able to access your API. The domain under which the API is deployed is configured in goldstack.json
under "deployments[*].apiDomain"
. You can access this API domain with a browser since the default API provided in the template allows for GET requests to the root.
Development
The source code for the API is defined in the src/
folder. The entry point for defining new routes is in src/routes
. The easiest way to get started extending the API is to modify or add new routes to the server by adding new folders and files. The template will automatically update the infrastructure configuration for the new routes defined, such as adding routes to the API Gateway or defining new Lambda functions. Simply run yarn infra up [environment]
after adding or removing routes.
There are a few things to keep in mind when defining new endpoints:
Defining Handlers
When defining a new endpoint in the src/routes
folder by adding a new TypeScript source folder, a handler needs to be defined in the file. The easiest handler function simply returns a JSON object:
import { Handler, APIGatewayProxyEventV2 } from 'aws-lambda';
type ProxyHandler = Handler<APIGatewayProxyEventV2, any>;
// eslint-disable-next-line @typescript-eslint/no-unused-vars
export const handler: ProxyHandler = async (event, context) => {
const message = event.queryStringParameters?.message || 'no message';
return {
message: `${message}`,
};
};
To customise the HTTP response, we can return an object of the type APIGatewayProxyResultV2
(see api-gateway-proxy.d.ts. There is unfortunately little documentation available about building responses specifically for JavaScript - but AWS provides reasonable general documentation about building responses with Lambdas for the HTTP API.
Here an example of a handler that customised the HTTP response:
import {
Handler,
APIGatewayProxyEventV2,
APIGatewayProxyResultV2,
} from 'aws-lambda';
type ProxyHandler = Handler<APIGatewayProxyEventV2, APIGatewayProxyResultV2>;
// eslint-disable-next-line @typescript-eslint/no-unused-vars
export const handler: ProxyHandler = async (event, context) => {
return {
statusCode: 201,
body: JSON.stringify({
message: 'Hello World!',
}),
};
};
Information about the HTTP request made can be found in the event
object. For reference about the information available, see Working with AWS Lambda proxy integrations for HTTP APIs. Note this template uses version 2.0
of the API.
Defining Routes
Routes are defined through the names of folders and source folders within the src/routes
folder. There are a few rules to keep in mind:
- Basic Routing: The names of files is used for the names of resources. For instance,
src/routes/resource.ts
will available undermyapi.com/resource
. - Subfolders: Names of folders will be used in the path to resources. For instance,
src/routes/group/resource.ts
will be available undermyapi.com/group/resource
. - Indices: For defining a route that matches
/
within a folder (or the root of the API), a source file with the name$index.ts
can be defined. For instance,src/routes/group/$index.ts
will be available undermyapi.com/group/
. - Default Fallback: To define a fallback that is called when no route is matched, define a source file with the name
$default.ts
. There should only be one$default.ts
file in the API. This will match all paths that are not covered by other routes. - Path Parameters: Parameters in path are supported using the syntax
{name}
. For instance,src/user/{name}.ts
will make the parametername
available in the endpoint. Parameters are also supported as folder names. - Greedy Paths: If a parameter should match multiple resource levels, it can be defined as follows
{greedy+}
. For instancesrc/group/{greedy+}.ts
will matchmyapi.com/group/1
andmyapi.com/group/some/path
and all other paths undergroup/
.
Updating Infrastructure
Note that after defining a new route, the infrastructure will need to be updated using yarn infra up [deployment name]
. This is because new or changed routes will require changes to the API Gateway and/or the Lambda functions that are defined.
Writing Tests
The Goldstack template for this module contains an example of an integration test for the API. Test are easy to write and very fast to run by utilising a custom Express.js server. It is also very cheap to create instances of the API on AWS infrastructure; thus more sophisticated setups can run tests directly against the API deployed on AWS.
Here an example for a local test:
import getPort from 'find-free-port';
import fetch from 'node-fetch';
import {
startServer,
StartServerResult,
} from '@goldstack/utils-aws-http-api-local';
describe('Should create API', () => {
let port: undefined | number = undefined;
let server: undefined | StartServerResult = undefined;
beforeAll(async () => {
port = await new Promise<number>((resolve, reject) => {
getPort(
process.env.TEST_SERVER_PORT || '50321',
(err: any, p1: number) => {
if (err) {
reject(err);
return;
}
resolve(p1);
}
);
});
server = await startServer({
port: `${port}`,
routesDir: './src/routes',
});
});
test('Should receive response and support parameters', async () => {
const res = await fetch(`http://localhost:${port}/echo?message=abc`);
const response = await res.json();
expect(response.message).toContain('abc');
});
afterAll(async () => {
if (server) {
await server.shutdown();
}
});
});
Best Practices
- Keep Lambdas Lightweight: This template will package Lambdas only with the code that they require. Aim to minimise the number of dependencies that are imported into each handler function. The smaller the Lambda functions are, the less noticeable cold starts will be. Cold starts using Lambdas packaged by this module can be as low as 150 ms (with almost all of that time spent on AWS getting the basic infrastructure for the Lambda up and running).
- Think RESTful: This module does not limit in any way which kinds of APIs can be created. However, it is often advisable to develop APIs in a RESTful way. For a reference on best practices, see RESTful web API design by Microsoft.
Infrastructure
All infrastructure for this module is defined in Terraform. You can find the Terraform files for this template in the directory [moduleDir]/infra/aws
. You can define multiple deployments for this template, for instance for development, staging and production environments.
If you configured AWS deployment before downloading your project, the deployments and their respective configurations are defined in [moduleDir]/goldstack.json
.
The configuration tool will define one deployment. This will be either dev
or prod
depending on your choice during project configuration. In the example goldstack.json
below, a deployment with the name dev
is defined.
{
"$schema": "./schemas/package.schema.json",
"name": "...",
"template": "...",
"templateVersion": "...",
"configuration": {},
"deployments": [
{
"name": "dev",
"awsRegion": "us-west-2",
"awsUser": "awsUser",
"configuration": {
...
}
}
]
}
Infrastructure Commands
Infrastructure commands for this template can be run using yarn
. There are four commands in total:
yarn infra up
: For standing up infrastructure.yarn infra init
: For initialising Terraform.yarn infra plan
: For running Terraform plan.yarn infra apply
: For running Terraform apply.yarn infra destroy
: For destroying all infrastructure using Terraform destroy.yarn infra upgrade
: For upgrading the Terraform versions (supported by the template). To upgrade to an arbitrary version, useyarn infra terraform
.yarn infra terraform
: For running arbitrary Terraform commands.
For each command, the deployment they should be applied to must be specified.
yarn infra [command] [deploymentName]
For instance, to stand up the infrastructure for the dev
deployment, the following command would need to be issued:
yarn infra up dev
Generally you will only need to run yarn infra up
. However, if you are familiar with Terraform and want more fine-grained control over the deployment of your infrastructure, you can also use the other commands as required.
Note that for running yarn infra terraform
, you will need to specify which command line arguments you want to provide to Terraform. By default, no extra arguments are provided:
yarn infra terraform [deployment] plan
If extra arguments are needed, such as variables, you can use the --inject-variables
option, such as for running terraform plan
:
yarn infra terraform [deployment] --inject-variables plan
If you want to interact with the remote backend, you can also provide the --inject-backend-config
option, such as for running terraform init
:
yarn infra terraform [deployment] --inject-backend-config init
Customizing Terraform
Goldstack templates make it very easy to customize infrastructure to your specific needs. The easiest way to do this is to simply edit the *.tf
files in the infra/aws
folder. You can make the changes you need and then run yarn infra up [deploymentName]
to apply the changes.
The infra/aws
folder contains a file variables.tf
that contains the variables required for your deployment; for instance the domain name for a website. The values for these variables are defined in the module's goldstack.json
file in the "configuration"
property. There is one global configuration
property that applies for all deployments and each deployment also has its own configuration
property. In order to add a new variable, add the variable to variables.tf
and then add it to the configuration for your template or to the configurations for the deployments.
Note that due to JavaScript and Terraform using different conventions for naming variables, Goldstack applies a basic transformation to variable names. Camel-case variables names are converted to valid variables names for Terraform by replacing every instance of a capital letter C
with _c
in the variable name. For instance:
myVariableName
in the Goldstack configuration will translate to the Terraform variable my_variable_name
as defined in variables.tf
.
Terraform State
In order to manage your infrastructure, Terraform maintains a state for each deployment; to calculate required changes when the infrastructure is updated and also for destroying the infrastructure if it is no longer required. Goldstack by default will store the terraform state in the infra/aws
folder as simple files.
This works well for deploying infrastructure from your local development environment but is not a good choice when building a CI/CD pipeline for the infrastructure definition. In that case, it is better to define Remote State. A popular choice many projects adopt here is to store the state in an S3 bucket. Please see the Terraform documentation for further details.
Deployment
This template can be packaged up and deployed to the deployments specified in goldstack.json
. Note that deployment will only work after the infrastructure for the respective deployment has been stood up. To deploy your package, run the following script:
yarn deploy [deploymentName]
Guides and How To
Adding environment variables
Environment variables are defined in the Terraform source code for this template. Specifically they are defined in the infra/aws/lambda_routes.tf
file in the resource resource "aws_lambda_function" "this"
. Note that all lambdas share the same environment variables. By default, there are a few environment variables specified:
environment {
variables = {
GOLDSTACK_DEPLOYMENT = var.name
CORS = var.cors
NODE_OPTIONS = "--enable-source-maps"
}
}
Add your environment variables into the variables
map:
environment {
variables = {
GOLDSTACK_DEPLOYMENT = var.name
CORS = var.cors
NODE_OPTIONS = "--enable-source-maps"
YOUR_ENV_VAR = 'your env var value'
}
}
Usually environment variables should have different values depending on which environment the server is deployed to. This can be accomplished using Terraform variables. Change your variable declaration to the following:
YOUR_ENV_VAR = var.my_env
Then go into the file infra/aws/variables.tf
and add the following definition:
variable "my_env" {
description = "My environment variable"
type = string
}
And finally add this variable to all deployment configurations in goldstack.json
:
"configuration": {
"lambdaName": "my-lambda",
"apiDomain": "api.mysite.com",
"hostedZoneDomain": "mysite.com",
"cors": "https://mysite.com",
"myEnv": "Value for deployment"
}
Note that the Terraform variable my_env
translates to myEnv
in the JSON definition (Just remove all _
and make the first character after _
uppercase for your variable definitions).
Lastly, to support local development make sure to define the variable correctly in all scripts
in package.json
. Specifically, you may want to define them for "test"
, and "watch"
.
"test": "MY_ENV=localvalue jest --passWithNoTests --config=jest.config.js --detectOpenHandles",
"watch": "PORT=8731 MY_ENV=localvalue nodemon --config nodemon.json --exec 'yarn node dist/src/local.js'"
Note that for credentials and other values that should not be committed to source code, it may be better to store these in AWS Secrets Manager and retrieve them using the AWS SDK based on the process.env.GOLDSTACK_DEPLOYMENT
value provided.
It is also possible to provide the value of Terraform variables through environment variables during build time. For instance, if you have defined the variable my_env
, simply provide the environment variable MY_ENV
when calling yarn infra
.
MY_ENV=value yarn infra up prod
This works very well in combination with secrets for GitHub actions.
- name: Update API infra
run: |
yarn workspace my-api infra up prod
env:
MY_ENV: ${{secrets.MY_ENV}}
AWS_USER_NAME: goldstack-prod
AWS_ACCESS_KEY_ID: ${{secrets.PROD_AWS_ACCESS_KEY_ID}}
AWS_SECRET_ACCESS_KEY: ${{secrets.PROD_AWS_SECRET_ACCESS_KEY}}
AWS_DEFAULT_REGION: us-west-2
Changing Esbuild behaviour
Github issue
Provide esbuild.config.json
in the ./packages/serverless-api
folder of your generated project with example config like this:
{
"platform": "node"
}
This object will be used for build process on every serverless function
If you want to change esbuild config for specific function, just add esbuild config, like this:
src/routes/hello.ts
src/routes/hello.esbuild.config.json
Priority for resulting esbuild config is this (from highest to lowest):
- local function esbuild config
- global esbuild config
- default config
Analysing Generated Bundles
It is often useful to analyse the bundles generated by esbuild to optimise their size. For this, the template will always provide esbuild metafiles in the ./distLambdas/zips
folder. These can be analysed with a tool such as esbuild-visualizer
.
Simply install this tool:
npm i -g esbuild-visualizer
And then analyse any of the metafiles generated:
esbuild-visualizer --metadata ./distLambda/zips/[your function name].meta.json
This will yield a stats.html
file you can view with any web browser.
Troubleshooting and Frequently Asked Questions
DNS Name for API Cannot be resolved
After applying yarn infra up [deployment]
and yarn deploy [deployment]
it is not possible to call the API at https://[configuration.apiDomain]
. An error such as Address cannot be resolved
or DNSProbe failed
is reported.
This is caused by changes to the deployed DNS hosted zone needing some time to propagate through the DNS network. Wait for 10-30 min and the API should be able to be called without problems. To validate your DNS name has been configured correctly, go to the AWS Route 53 Console, choose the region you have deployed, and validate there is a correct entry for the hosted zone you have selected. There should be an A entry such as the following:
[apiDomain].[hostedZone] A [id].cloudfront.net.
Concurrent Modification Error when Creating Infrastructure
The following error may be displayed sometime when running yarn infra up prod [deploymentName]
for the first time. This is due to an error in the way Terraform schedules the creation of the resources. The easy solution to this problem is simply running yarn infra up prod [deploymentName]
again.
Error: error creating API Gateway v2 route: ConflictException: Unable to complete operation due to concurrent modification.
Please try again later.
See Issue #40
Security Hardening
This template requires further security hardening when deployed in critical production applications. Specifically the lambdas are given the role arn:aws:iam::aws:policy/AdministratorAccess"
and this will grant the lambdas access to all resources on the AWS account, including the ability to create and destroy infrastructure. It is therefore recommended to grant the lambdas only rights to resources it needs access to, such as read and write permissions for an S3 bucket. This can be modified in infra/aws/lambda_shared.tf
in the resource resource "aws_iam_role_policy_attachment" "lambda_admin_role_attach"
.
Note that in this templates all lambdas for the API share the same permissions. This is by design to simply setup and management of the infrastructure in the understanding that the API forms one integrated element of a system. If there are concerns about access to resourced being shared by multiple lambdas, another API can be created.