Hey there, fellow Go enthusiast! Ready to dive into the world of serverless computing? Today, we're going to walk through building an AWS Lambda function with API Gateway integration using Go. We'll be leveraging the awesome aws-lambda-go
package to make our lives easier. Buckle up, and let's get coding!
Before we jump in, make sure you've got:
Got all that? Great! Let's move on.
First things first, let's set up our project:
mkdir lambda-api-go && cd lambda-api-go go mod init github.com/yourusername/lambda-api-go go get github.com/aws/aws-lambda-go
Now, let's write our Lambda function. Create a file named main.go
:
package main import ( "github.com/aws/aws-lambda-go/lambda" "github.com/aws/aws-lambda-go/events" ) func handleRequest(request events.APIGatewayProxyRequest) (events.APIGatewayProxyResponse, error) { return events.APIGatewayProxyResponse{ StatusCode: 200, Body: "Hello from Lambda!", }, nil } func main() { lambda.Start(handleRequest) }
Simple, right? This function will return a 200 status code with a "Hello from Lambda!" message.
Time to build our function for Linux (AWS Lambda runs on Amazon Linux):
GOOS=linux GOARCH=amd64 go build -o main main.go zip deployment.zip main
Head over to the AWS Console and create a new Lambda function. Choose "Go 1.x" as the runtime and upload your deployment.zip
file.
Now, let's set up API Gateway:
Don't forget to deploy your API when you're done!
Time for the moment of truth! Grab your API endpoint URL and test it:
curl https://your-api-id.execute-api.your-region.amazonaws.com/stage/
If everything went well, you should see "Hello from Lambda!"
For a production environment, consider setting up a CI/CD pipeline for automated deployments. AWS Lambda will handle scaling for you, but you can configure concurrency limits if needed.
A few tips to keep in mind:
And there you have it! You've successfully created an AWS Lambda function with API Gateway integration using Go. Pretty cool, right? As you continue your serverless journey, don't forget to explore more advanced topics like custom authorizers, environment variables, and integrating with other AWS services.
Keep coding, and may your functions always be warm and your latency low!