How to Deploy Your First Web App Using Amazon GameLift Streams

Cloudtechtiq August 5, 2025

0 205 3 minutes read

How to Deploy Your First Web App Using Amazon

As cloud gaming and real-time interactions proliferate, developers are increasingly turning to Amazon GameLift for scalable, low-latency game server hosting. But did you know that you can also use Amazon GameLift Streams to deploy lightweight web applications? Whether you’re a game developer looking to build a companion app or a web developer experimenting with game data, this guide will walk you through deploying your first web application using Amazon GameLift Streams.

Table of Contents

What Is Amazon GameLift Streams?

Amazon GameLift Streams is an advanced capability that lets you stream real-time server events and telemetry data from GameLift-managed servers. While it’s designed primarily for game monitoring and analytics, it can also be a powerful tool to power interactive web applications, dashboards, or visualizations that reflect live game data.

GameLift Streams utilizes Amazon Kinesis under the hood, providing a seamless way to process and consume game server data in real-time. This means your web app can stay connected to the action as it happens.

Prerequisites

Before we start, make sure you have the following:

An AWS account
A basic understanding of web development (HTML, CSS, JavaScript)
Familiarity with AWS services such as IAM, Amazon GameLift, and Kinesis
Node.js and AWS CLI are installed on your system

Step 1: Set Up Your GameLift Environment

If you haven’t already, deploy a game server on Amazon GameLift. This involves:

Uploading your custom game server build to GameLift.
Creating a fleet to host game sessions.
Configuring fleet settings to enable streaming of server logs and game events.

Tip: Make sure your GameLift fleet has streaming enabled. This allows your server to emit logs and custom events that can be picked up by your web app.

Step 2: Configure GameLift Streams (via Amazon Kinesis)

Once your fleet is up, follow these steps:

Go to the GameLift Console.
Navigate to your fleet > Monitoring tab > Enable GameLift Streams.
This will provision a Kinesis data stream that your app can subscribe to.
Configure IAM roles and policies to allow your web application to access this stream securely.

Step 3: Build Your Web Application

Now let’s create a simple web app that listens to your GameLift Streams data and displays it in real-time.

Example stack

Frontend: HTML + JavaScript
Backend: Node.js (Express) + AWS SDK

Backend Snippet (Node.js)

const AWS = require('aws-sdk');
const express = require('express');
const app = express();

AWS.config.update({ region: 'us-west-2' });

const kinesis = new AWS.Kinesis();
const streamName = 'your-gamelift-stream-name';

app.get('/stream', async (req, res) => {
  const params = {
    StreamName: streamName,
    ShardIteratorType: 'LATEST'
  };

  const data = await kinesis.describeStream({ StreamName: streamName }).promise();
  const shardId = data.StreamDescription.Shards[0].ShardId;

  const iterator = await kinesis.getShardIterator({
    StreamName: streamName,
    ShardId: shardId,
    ShardIteratorType: 'LATEST'
  }).promise();

  const records = await kinesis.getRecords({
    ShardIterator: iterator.ShardIterator,
    Limit: 10
  }).promise();

  res.json(records);
});

app.listen(3000, () => console.log('App listening on port 3000'));

This code connects to your GameLift Stream and returns the latest server events to the frontend.

Step 4: Visualize Data in the Frontend

On the frontend, you can use JavaScript fetch or WebSockets to poll your backend endpoint and update the UI in real time.

<script>
  async function fetchData() {
    const response = await fetch('/stream');
    const data = await response.json();
    document.getElementById("output").innerText = JSON.stringify(data, null, 2);
  }

  setInterval(fetchData, 3000); // refresh every 3 seconds
</script>
<pre id="output"></pre>

Step 5: Deploy and Monitor

You can deploy your web app using:

AWS Amplify or Amazon S3 (static hosting) for frontend
Amazon EC2 or Elastic Beanstalk for backend

Once deployed, test the real-time data flow by triggering game events from your GameLift-managed server.

Check Also:-

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Final Thoughts

Deploying a web application using Amazon GameLift Streams offers powerful use cases, from live game dashboards to real-time analytics platforms. As a developer, this opens up new possibilities to bridge gameplay with interactive web experiences.

Whether you’re building a game companion app, leaderboard, or live performance monitor, Amazon GameLift Streams can be the real-time engine behind your ideas.

Cloudtechtiq August 5, 2025

0 205 3 minutes read