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Lambda Store

Build a Serverless Stateful API with Golang and Redis

svenanderson profile image Sven Anderson ・3 min read

In this post, I will build a serverless API with Golang and Redis. The API will simply the count page views and show it in JSON format. See the demo here and the code here

The Stack

  • Serverless compute: AWS Lambda (Golang)
  • Serverless data store: Redis via Lambda Store
  • Deployment tool: AWS SAM


  • An AWS account for AWS Lambda functions.

  • Install AWS SAM CLI tool as described here to create and deploy the project.

  • A Lambda Store account for serverless Redis.

Step 1: Init the Project

Run the sam init and then

  • Select AWS Quick Start Templates
  • Select 4 - go1.x
  • Enter your project name: go-redis-example
  • Select 1 - Hello World Example SAM will generate your project in a new folder.

Step 2: Install a Redis Client

Our only dependency is redis client. Install go-redis via go get github.com/go-redis/redis/v8

Step 3: Create a Redis Database

Create a Redis database from Lambda Store console. Free tier should be enough. It is pretty straight forward but if you need help, check here. In the database details page, click the Connect button. You will need the endpoint and password in the next step.

Step 4: The function Code

Edit the hello-world>main.go as below:

package main

import (

var ctx = context.Background()

type MyResponse struct {
    Count string `json:"count:"`
var rdb = redis.NewClient(&redis.Options{
    Addr:     "YOUR_REDIS_ENDPOINT",
    Password: "YOUR_REDIS_PASSWORD",
    DB:       0,

func handler(request events.APIGatewayProxyRequest) (events.APIGatewayProxyResponse, error) {
    count, err := rdb.Incr(ctx, "count").Result()
    if err != nil {

    response := &MyResponse{
        Count: strconv.FormatInt(count, 10),
    body, err := json.Marshal(response)

    return events.APIGatewayProxyResponse{
        Headers:    map[string]string{"Content-Type": "application/json"},
        Body:       string(body),
        StatusCode: 200,
    }, nil

func main() {

Replace the "YOUR_REDIS_ENDPOINT" and "YOUR_REDIS_PASSWORD" with your database's endpoint and password which you created in the Step 3.

The code simply increments a counter in Redis database and returns its value in json format.

Step 5: Deployment

Now we are ready to deploy our API. First build it via sam build. Then run the command sam local start-api. You can check your API locally on

If it is working, you can deploy your app to AWS by running sam deploy --guided. Enter a stack name and pick your region. After confirming changes, the deployment should begin.

The command will output API Gateway endpoint URL, check the API in your browser.

You can also check your deployment on your AWS console. You will see your function has been created.

Click on your function, you will see the code is uploaded and API Gateway is configured.

Possible Improvements

Check the template.yaml file. You can add new functions and APIGateway endpoints editing this file. Also it is a good practice to keep your Redis endpoint and password as environment variable. Check my previous post on how to set your env variables in template.yaml.

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Sven Anderson


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Lambda Store

Lambda Store is the first Serverless Database for Redis. In this blog, Lambda Store engineering team shares their experiences on Cloud, AWS, Kubernetes, Redis and of course Lambda Store.


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