This content originally appeared on DEV Community and was authored by Parimal
Table of Contents
- What is AWS App Runner?
- Why Use App Runner?
- When to Use App Runner
- Pre-requisites
- Deployment Guide
- Observability & Scaling
- Pricing Overview
- Pros & Limitations
- Final Thoughts
- Further Reading
What is AWS App Runner?
AWS App Runner is a fully managed service that makes it easy to deploy containerized applications from your source code or container image. You don’t need to manage servers, orchestration, or scaling logic—App Runner handles it all.
Whether your app lives in a GitHub repo or a container registry (like Amazon ECR), App Runner can automatically build and deploy it, scaling up and down as needed.
Why Use App Runner?
Compared to traditional services like EC2, ECS, or even Lambda, App Runner offers:
Zero infrastructure management – No need to manage VPCs, load balancers, or clusters
Quick deployments – Deploy from GitHub or ECR in a few steps
Auto-scaling – Automatically handles traffic spikes
CI/CD support – Automatic redeploys on every code change (when using GitHub)
It’s especially useful when you need to move fast with a minimal setup.
When to Use App Runner
Perfect for:
- You want to deploy containerized apps but don’t want to manage ECS or Kubernetes
- You need rapid prototyping or dev environments
- You’re building web APIs or frontend services
- You prefer GitHub-to-production workflows with minimal infrastructure fuss
Pre-requisites
Before we begin, make sure you have:
- [ ] An AWS account
- [ ] A public GitHub repository with a working web app and Dockerfile OR A container image in Amazon ECR (Elastic Container Registry)
- [ ] Basic knowledge of Docker and containers
Deployment Guide
Deploying a Sample App with App Runner (Using GitHub)
Let’s deploy a simple Node.js or Python Flask app (you can use any stack really) via GitHub:
Sample Application: GitHub Repository
Step 1: Open AWS App Runner Console
- Go to the App Runner console
Step 2: Create Service
- Click “Create service”
- Choose “Source code repository”
- Select GitHub and connect your account
- Pick your repository and branch
Step 3: Configure Build & Deploy
- Select “Runtime” based on your application
- Select Build command and Start command based on your application
- Set port (e.g.,
5000
for Flask,3000
for Node.js) - (Optional) Add environment variables if needed
Step 4: Service Settings
- Set service name
- Choose CPU and memory settings
- Auto scaling
- Observability
Step 5: Deploy!
- Review and click “Create & deploy”
- Wait for App Runner to build and deploy your app
- Once deployed, you’ll get a public HTTPS URL
Observability & Scaling
App Runner provides:
- Integrated CloudWatch Logs
- Health checks
- Auto-scaling based on requests per second
- Metrics like CPU, memory usage, and request counts
You can monitor your app without additional tooling.
Pricing Overview
App Runner charges based on:
- Compute time (vCPU + memory usage)
- Requests served
Example: A small app with light traffic will cost only a few dollars a month. There’s even a free tier!
For details: App Runner pricing
Pros & Limitations
Pros
- No infrastructure setup
- Auto SSL and HTTPS
- Integrated CI/CD
- Fast and developer-friendly
Limitations
- Limited to HTTP apps (not suitable for background jobs)
- No fine-grained networking control (compared to ECS/VPC)
- Limited AWS region support
Final Thoughts
AWS App Runner is a great fit for teams that want to focus on writing code, not managing infrastructure. Whether you’re spinning up a side project, internal tool, or even small production service, it gets you from GitHub to live URL in minutes.
It’s not a one-size-fits-all solution (you’ll want ECS or Kubernetes for complex workflows), but for many use cases, it’s just right.
Further Reading
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This content originally appeared on DEV Community and was authored by Parimal