Localstack with Terraform and Docker for running AWS locally

    Hello everyone, in this post I will be demonstrating how you can run localstack with Terraform and Docker and give you a proof of concept go application so you can tweak it according to your logic and follow anything you want to do such as integration/system tests for AWS services in your own CI/CD or localhost.

Github Repository for PoC(proof of concept):
hotdog-PoC-repository

Requirements:

  • Docker
  • docker-compose
  • Terraform
  • Go
  • aws CLI
  • A bit of lambda, dynamodb and kinesis knowledge

Intro

Localstack is a testing/mocking framework for developing Cloud applications locally. Where in theory, you can stick any AWS service and emulate them in localhost without ever needing the real AWS account.
Localstackā€™s primary goal to make integration/system testing less painful for developers.

What was built?

Aside from lambdas, I had 3 kinesis streams and 3 kinesis triggers in order to make lambdas talk to each other. The named kinesis streams is as follows; caughtDogs, hotDogs, eatenHotDogs.

Starting Localstack docker container with docker-compose

version: '3.8'

services:
    localstack:
        container_name: "localstack_main"
        image: localstack/localstack:latest
        environment: 
            - SERVICES=dynamodb,lambda,kinesis
            - LAMBDA_EXECUTOR=docker_reuse
            - DOCKER_HOST=unix:///var/run/docker.sock
            - DEFAULT_REGION=ap-southeast-2
            - DEBUG=1
            - DATA_DIR=/tmp/localstack/data
            - PORT_WEB_UI=8080
            - LAMBDA_DOCKER_NETWORK=localstack-tutorial
            - KINESIS_PROVIDER=kinesalite
        ports:
            - "53:53"
            - "53:53/udp"
            - "443:443"
            - "4566:4566"
            - "4571:4571"
            - "8080:8080"
        volumes:
            - /var/run/docker.sock:/var/run/docker.sock
            - localstack_data:/tmp/localstack/data
        networks:
            default:

volumes:
    localstack_data:
networks:
    default:
        external:
            name: localstack-tutorial
docker-compose up -d --build

Bootstrapping our infra with Terraform

provider "aws" {
  region                      = "ap-southeast-2"
  access_key                  = "fake"
  secret_key                  = "fake"
  skip_credentials_validation = true
  skip_metadata_api_check     = true
  skip_requesting_account_id  = true

  endpoints {
    dynamodb = "http://localhost:4566"
    lambda   = "http://localhost:4566"
    kinesis  = "http://localhost:4566"
  }
}

// DYNAMODB TABLES
resource "aws_dynamodb_table" "dogs" {
  name           = "dogs"
  read_capacity  = "20"
  write_capacity = "20"
  hash_key       = "ID"

  attribute {
    name = "ID"
    type = "S"
  }
}

// KINESIS STREAMS
resource "aws_kinesis_stream" "caught_dogs_stream" {
  name = "caughtDogs"
  shard_count = 1
  retention_period = 30

  shard_level_metrics = [
    "IncomingBytes",
    "OutgoingBytes",
  ]
}

resource "aws_kinesis_stream" "hot_dogs_stream" {
  name = "hotDogs"
  shard_count = 1
  retention_period = 30

  shard_level_metrics = [
    "IncomingBytes",
    "OutgoingBytes",
  ]
}

resource "aws_kinesis_stream" "eaten_hot_dogs_stream" {
  name="eatenHotDogs"
  shard_count = 1
  retention_period = 30

  shard_level_metrics = [
    "IncomingBytes",
    "OutgoingBytes",
  ]
}

// LAMBDA FUNCTIONS
resource "aws_lambda_function" "dog_catcher_lambda" {
  function_name = "dogCatcher"
  filename      = "dogCatcher.zip"
  handler       = "main"
  role          = "fake_role"
  runtime       = "go1.x"
  timeout       = 5
  memory_size   = 128
}

resource "aws_lambda_function" "dog_processor_lambda" {
  function_name = "dogProcessor"
  filename      = "dogProcessor.zip"
  handler       = "main"
  role          = "fake_role"
  runtime       = "go1.x"
  timeout       = 5
  memory_size   = 128
}

resource "aws_lambda_function" "hot_dog_despatcher_lambda" {
  function_name = "hotDogDespatcher"
  filename      = "hotDogDespatcher.zip"
  handler       = "main"
  role          = "fake_role"
  runtime       = "go1.x"
  timeout       = 5
  memory_size   = 128
}

// LAMBDA TRIGGERS
resource "aws_lambda_event_source_mapping" "dog_processor_trigger" {
  event_source_arn              = aws_kinesis_stream.caught_dogs_stream.arn
  function_name                 = "dogProcessor"
  batch_size                    = 1
  starting_position             = "LATEST"
  enabled                       = true
  maximum_record_age_in_seconds = 604800
}

resource "aws_lambda_event_source_mapping" "dog_processor_trigger_2" {
  event_source_arn              = aws_kinesis_stream.eaten_hot_dogs_stream.arn
  function_name                 = "dogProcessor"
  batch_size                    = 1
  starting_position             = "LATEST"
  enabled                       = true
  maximum_record_age_in_seconds = 604800
}

resource "aws_lambda_event_source_mapping" "hot_dog_despatcher_trigger" {
  event_source_arn = aws_kinesis_stream.hot_dogs_stream.arn
  function_name = "hotDogDespatcher"
  batch_size = 1
  starting_position = "LATEST"
  enabled = true
  maximum_record_age_in_seconds = 604800
}
./zip-it.sh
terraform init
terraform plan
terraform apply --auto-approve

Checking with aws CLI if everything is setup correctly

aws lambda invoke --function-name dogCatcher --endpoint-url=http://localhost:4566 --payload '{"quantity": 2}' output.txt
aws dynamodb scan --endpoint-url http://localhost:4566 --table-name dogs

Result

I had pretty much great experience with Localstack. I think even though Localstack is quite new, it seems like it can be used for learning AWS SDKs as a developer without actually using live AWS services and getting billed for it. This can also speed up developer's integration tests(along with CI/CD) and debugging processes if configured properly because there are many services Localstack provides and I have only configured and used 3 of them here. This also saves lots of costs for any companies.

Also don't forget to check out Localstack's slack channel, they are really helpful for any issues you run into and follow me on Twitter for further questions!
localstack-slack
my-twitter

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