go-aws-examples

This repository contains a collection of Go code examples for interacting with Amazon Web Services (AWS) services. These examples demonstrate various use cases and best practices for working with AWS services in Go.

Prerequisites

Before you begin, ensure you have the following prerequisites:

1. Go: You need to have Go (Golang) installed on your system. You can download and install Go from the official Go website.
2. AWS Account: You must have an AWS account to use the AWS services. If you don't have one, you can create an account at AWS Sign-Up.
3. AWS Credentials: To run these examples, you need to configure your AWS credentials. The recommended way to do this is by using the AWS Command Line Interface (AWS CLI) and the aws configure command. Make sure your credentials have the necessary permissions for the AWS services you intend to use in these examples.

Getting Started

1. Clone the Repository:

git clone https://github.com/vuduongtp/go-aws-examples.git

2. Change Directory to example folder:

cd go-aws-examples/example-folder

3. Install Dependencies:

make depends

4. Deploy

make deploy

5. Check resource on AWS

6. Remove resource on AWS

make remove

7. Double check resource on AWS to make sure all resources are deleted

Examples

The repository is organized into directories, each containing a set of Go examples for a specific AWS service or use case. Below is a list of the available examples:

1. Lambda + API Gateway + DynamoDB: Build simple rest api.
2. Lambda  + SNS + SQS: Send message to SNS topic, SNS send message to SQS, Lambda will receive message from SQS and process.
3. Lambda  + Step Functions: Build processing stream have many steps.

Each example directory will have its own README file with specific usage instructions and explanations.

Contributing

We welcome contributions from the community. If you have an example or improvement to an existing one, please open a pull request.

License

This repository is licensed under the MIT License. See the LICENSE file for details.

Please note that while these examples are provided as a resource, you should be cautious when working with AWS services to avoid incurring unexpected costs or security vulnerabilities.