Example

Search…

Example

Define an API
1
# main.py
2
​
3
from fastapi import FastAPI
4
from pydantic import BaseModel
5
​
6
app = FastAPI()
7
​
8
class Data(BaseModel):
9
    msg: str
10
​
11
@app.post("/")
12
def handle_post(data: Data):
13
    return data
Copied!
Create a Dockerfile
1
FROM python:3.8-slim
2
​
3
RUN pip install --no-cache-dir fastapi uvicorn
4
​
5
COPY main.py /
6
​
7
CMD uvicorn --host 0.0.0.0 --port 8080 main:app
Copied!
Build an image
1
docker build . -t hello-world
Copied!
Run a container locally
1
docker run -p 8080:8080 hello-world
Copied!
Make a request
1
curl -X POST -H "Content-Type: application/json" -d '{"msg": "hello world"}' localhost:8080
Copied!
Login to ECR
1
aws ecr get-login-password --region us-east-1 | docker login --username AWS --password-stdin <AWS_ACCOUNT_ID>.dkr.ecr.us-east-1.amazonaws.com
Copied!
Create a repository
1
aws ecr create-repository --repository-name hello-world
Copied!
Tag the image
1
docker tag hello-world <AWS_ACCOUNT_ID>.dkr.ecr.us-east-1.amazonaws.com/hello-world
Copied!
Push the image
1
docker push <AWS_ACCOUNT_ID>.dkr.ecr.us-east-1.amazonaws.com/hello-world
Copied!
Configure a Cortex deployment
1
# cortex.yaml
2
​
3
- name: hello-world
4
  kind: RealtimeAPI
5
  pod:
6
    containers:
7
    - name: api
8
      image: <AWS_ACCOUNT_ID>.dkr.ecr.us-east-1.amazonaws.com/hello-world
Copied!
Create a Cortex deployment
1
cortex deploy
Copied!
Wait for the API to be ready
1
cortex get --watch
Copied!
Get the API endpoint
1
cortex get hello-world
Copied!
Make a request
1
curl -X POST -H "Content-Type: application/json" -d '{"msg": "hello world"}' http://***.amazonaws.com/hello-world
Copied!

Workloads - Previous

Realtime

Configuration

Last modified 3mo ago

Copy link

Contents

Define an API

Create a Dockerfile

Build an image

Run a container locally

Configure a Cortex deployment

Create a Cortex deployment

Wait for the API to be ready

Get the API endpoint

Make a request