Rollouts
How container instances update after you deploy.
← Containers / containers
Enhance your Workers with serverless containers
Run code written in any programming language, built for any runtime, as part of apps built on Workers.
Deploy your container image to Region:Earth without worrying about managing infrastructure - just define your
Worker and wrangler deploy.
With Containers you can run:
Container instances are spun up on-demand and controlled by code you write in your Worker. Instead of chaining together API calls or writing Kubernetes operators, you just write JavaScript:
import { Container, getContainer } from "@cloudflare/containers";
export class MyContainer extends Container {
defaultPort = 4000; // Port the container is listening on
sleepAfter = "10m"; // Stop the instance if requests not sent for 10 minutes
}
export default {
async fetch(request, env) {
const { "session-id": sessionId } = await request.json();
// Get the container instance for the given session ID
const containerInstance = getContainer(env.MY_CONTAINER, sessionId);
// Pass the request to the container instance on its default port
return containerInstance.fetch(request);
},
};{
"name": "container-starter",
"main": "src/index.js",
// Set this to today's date
"compatibility_date": "2026-08-28",
"containers": [
{
"class_name": "MyContainer",
"image": "./Dockerfile",
"max_instances": 5
}
],
"durable_objects": {
"bindings": [
{
"class_name": "MyContainer",
"name": "MY_CONTAINER"
}
]
},
"migrations": [
{
"new_sqlite_classes": ["MyContainer"],
"tag": "v1"
}
]
}name = "container-starter"
main = "src/index.js"
# Set this to today's date
compatibility_date = "2026-08-28"
[[containers]]
class_name = "MyContainer"
image = "./Dockerfile"
max_instances = 5
[[durable_objects.bindings]]
class_name = "MyContainer"
name = "MY_CONTAINER"
[[migrations]]
new_sqlite_classes = [ "MyContainer" ]
tag = "v1"Get started
Containers dashboard
Build and push an image, call a Container from a Worker, and try scaling and routing.
Stateless and stateful routing, regional placement, Workflow and Queue integrations, AI-generated code execution, and short-lived workloads.
Run your Worker and container together with wrangler dev or vite dev before you deploy.
Ship from your machine or Workers Builds, and confirm the deploy.
How container instances update after you deploy.
Build, push, and pull images for Containers.
How a container is scheduled, started, routed, and shut down.
Instance counts, image size, and other platform limits.
CLI commands for images and containers.
Start, stop, and talk to the container process from a Durable Object.
Connect to running container instances with SSH through Wrangler.
Ask questions, show what you are building, and talk with other Containers developers.