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Example of serverless application using Go, AWS SAM and GitHub Actions

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Alessandrina

codecov CI/CD

This project aims to build a Go-based serverless application using AWS SAM. It provides an API with endpoints for interacting with a book database, allowing users to search, create, and delete books. The project also includes a robust CI/CD pipeline for automated build, test, and deployment on AWS using GitHub Actions.

Requirements

To set up and run this serverless application locally or in a cloud environment, ensure you have the following prerequisites:

Once you have these prerequisites, you can set up and run the serverless application locally or deploy it to your preferred cloud environment.

Serverless Architecture

Alessandrina Architecture

Project Structure

The serverless application is structured using the hexagonal architecture known as ports and adapters. This architectural pattern provides a way to separate the core business logic (domain) of the application from specific technical implementations, like the infrastructure (database) and the handling of client requests (web). Encapsulating the domain logic within the hexagon makes it easier to maintain and modify the application without affecting other components.

├── assets
├── domain
├── events
├── functions
│  ├── create-book
│  ├── delete-book
│  ├── get-book
│  └── get-books
├── go.mod
├── go.sum
├── locals.json
├── Makefile
├── README.md
├── samconfig.toml
├── scripts
│  ├── create-table.sh
│  └── delete-table.sh
├── sys
│  └── database
│     ├── ddb
│     └── memory
├── template.yaml
├── tests
│  ├── integration
│  └── performance
└── web

/functions

This project's entire AWS Lambda functions inside the /functions folder. The folders under /functions are consistently named for each lambda that SAM will build. Each folder has a matching source code file that contains the main package. None of the packages inside the folder functions can import each other.

/tests

The /tests folder houses a collection of integration and performance tests specifically designed to evaluate the functionality and performance of the serverless application. These tests are developed to simulate real-world scenarios and interactions with the application, ensuring it behaves as expected and performs optimally under different conditions.

/events

This folder contains multiple event bodies that can be passed to SAM when invoking the AWS serverless functions locally.

sam local invoke CreateBookFunction \
   -e events/create-book.json \
   --docker-network alessandrina \
   --env-vars locals.json

/scripts

This folder contains shell scripts to perform migrations when running DynamoDB on Localstack.

Environment Variables for SAM

The serverless application can be configured via some environment variables.

# Set the table name (mandatory)
DB_TABLE=BooksTable-local

# Set the DynamoDB client connection (possible values: aws|localstack, default: aws)
DB_CONNECTION=localstack

# Enable AWS Client Logs for the DynamoDB service (default: false)
#
# When running with DB_CONNECTION=localstack, client logs are enabled as default
DB_LOG=true

Makefile Commands

# Perform unit tests.
make unit-tests

# Run unit tests and create an HTML code coverage report.
make coverage

# Format Go source files.
make format

# Run Go linters aggregator (golangci-lint) using Docker.
make lint

# Perform integration tests. (see Integration Tests setup section)
make integration-tests

# Generate Go mocks
make mocks

# Remove Go mocks
make remove-mocks

# Cleanup artifacts, coverage and report files.
make clean

Integration Tests

The integration tests assume that you have already installed all the requirements mentioned in the "Requirements" section.

Running on SAM Local API + Localstack DynamoDB

# 1. Create a Docker network
docker create network alessandrina

# 2. Start the Localstack server.
DOCKER_FLAGS="--network alessandrina -d" localstack start

# 3. Create a new DynamoDB table on Localstack
sh ./scripts/create-table.sh BooksTable-local

# 4. Build the serverless application.
sam build --parallel

# 5. Start a local HTTP API server using the "BooksTable-local" DynamoDB table.
sam local start-api --docker-network alessandrina --warm-containers LAZY --env-vars locals.json

# 6. Open another shell and execute the command in the project's root directory.
make integration-tests

Running on AWS (feature, dev, prod branches)

# 1. Build the serverless application
sam build --parallel

# 2. Run integration tests
make integration-tests API_URL=<STACK_WEBPOINT_URL>

Performance Tests

The performance tests assume that you have already installed all the requirements mentioned in the "Requirements" section.

Environment Variables for k6

# Set the API URL (mandatory)
API_URL=<STACK_WEBPOINT_URL>

# Set the workload (possible values: 0|1|2, default: 0)
WORKLOAD=0

# Set the book operation (mandatory, possible values: list|create|flow)
BOOK_OP=list

# Set the test name (default: main.js)
TEST_NAME=smoke-create

Run a test locally

API_URL=<STACK_WEBPOINT_URL> BOOK_OP=list k6 run ./tests/performance/main.js

Authenticate with Grafana Cloud

k6 login cloud --token <PERSONAL_API_TOKEN>

Run a test in the cloud

./k6 cloud -e K6_CLOUD_PROJECT_ID=<PROJECT_ID> \
  -e API_URL=<STACK_WEBPOINT_URL> \
  -e TEST_NAME=<TEST_NAME> \
  -e BOOK_OP=<BOOK_OP> \
  ./tests/performance/main.js

Run a test locally and stream the results to Grafana Cloud

./k6 run -e K6_CLOUD_PROJECT_ID=<PROJECT_ID>\
  -e API_URL=<STACK_WEBPOINT_URL> \
  -e TEST_NAME=<TEST_NAME> \
  -e BOOK_OP=<BOOK_OP=<BOOK_OP> \
  -e WORKLOAD=<WORKLOAD> \
  --out cloud \
  --out dashboard=report=<REPORT_NAME>.html \
  ./tests/performance/main.js