# HTTPS

If you would like to support HTTPS endpoints for your Cortex APIs, here are a few options:

* Custom domain with an SSL certificate: See [here](/0.36/clusters/networking/custom-domain.md) for instructions.
* AWS API Gateway: This is the simplest approach if a custom domain is not required; continue reading this guide for instructions.

Please note that one limitation of API Gateway is that there is a 30-second time limit for all requests.

If your API load balancer is internet-facing (which is the default, or you set `api_load_balancer_scheme: internet-facing` in your cluster configuration file before creating your cluster), use the [first section](/0.36/clusters/networking/https.md#internet-facing-load-balancer) of this guide.

If your API load balancer is internal (i.e. you set `api_load_balancer_scheme: internal` in your cluster configuration file before creating your cluster), use the [second section](/0.36/clusters/networking/https.md#internal-load-balancer) of this guide.

## Internet-facing load balancer

*This section applies if your API load balancer is internet-facing (which is the default, or you set `api_load_balancer_scheme: internet-facing` in your cluster configuration file before creating your cluster). If your API load balancer is internal, see the* [*internal load balancer*](/0.36/clusters/networking/https.md#internal-load-balancer) *section below.*

### Create an API Gateway

Go to the [API Gateway console](https://console.aws.amazon.com/apigateway/home), select "REST API" under "Choose an API type", and click "Build".

![](https://user-images.githubusercontent.com/808475/78293216-18269e80-74dd-11ea-9e68-86922c2cbc7c.png)

Select "REST" and "New API", name your API (e.g. "cortex"), select either "Regional" or "Edge optimized" (depending on your preference), and click "Create API".

![](https://user-images.githubusercontent.com/808475/78293434-66d43880-74dd-11ea-92d6-692158171a3f.png)

Select "Actions" > "Create Resource":

![](https://user-images.githubusercontent.com/808475/80154502-8b6b7f80-8574-11ea-9c78-7d9f277bf55b.png)

Select "Configure as proxy resource" and "Enable API Gateway CORS", and click "Create Resource"

![](https://user-images.githubusercontent.com/808475/80154565-ad650200-8574-11ea-8753-808cd35902e2.png)

Select "HTTP Proxy" and set "Endpoint URL" to "http\:///{proxy}". You can get your API load balancer endpoint via `cortex cluster info`; make sure to prepend `http://` and append `/{proxy}`. For example, mine is: `http://a9eaf69fd125947abb1065f62de59047-81cdebc0275f7d96.elb.us-west-2.amazonaws.com/{proxy}`.

Leave "Content Handling" set to "Passthrough" and Click "Save".

![](https://user-images.githubusercontent.com/808475/80154735-13ea2000-8575-11ea-83ca-58f182df83c6.png)

Select "Actions" > "Deploy API"

![](https://user-images.githubusercontent.com/808475/80154802-2c5a3a80-8575-11ea-9ab3-de89885fd658.png)

Create a new stage (e.g. "dev") and click "Deploy"

![](https://user-images.githubusercontent.com/808475/80154859-4431be80-8575-11ea-9305-50384b1f9847.png)

Copy your "Invoke URL"

![](https://user-images.githubusercontent.com/808475/80154911-5dd30600-8575-11ea-9682-1a7328783011.png)

### Use your new endpoint

You may now use the "Invoke URL" in place of your API load balancer endpoint in your client. For example, this curl request:

```bash
curl http://a9eaf69fd125947abb1065f62de59047-81cdebc0275f7d96.elb.us-west-2.amazonaws.com/my-api -X POST -H "Content-Type: application/json" -d @sample.json
```

Would become:

```bash
curl https://31qjv48rs6.execute-api.us-west-2.amazonaws.com/dev/my-api -X POST -H "Content-Type: application/json" -d @sample.json
```

### Cleanup

Delete the API Gateway before spinning down your Cortex cluster:

![](https://user-images.githubusercontent.com/808475/80155073-bdc9ac80-8575-11ea-99a1-95c0579da79e.png)

## Internal load balancer

*This section applies if your API load balancer is internal (i.e. you set `api_load_balancer_scheme: internal` in your cluster configuration file before creating your cluster). If your API load balancer is internet-facing, see the* [*internet-facing load balancer*](/0.36/clusters/networking/https.md#internet-facing-load-balancer) *section above.*

### Create a VPC Link

Navigate to AWS's EC2 Load Balancer dashboard and locate the Cortex API load balancer. You can determine which is the API load balancer by inspecting the `kubernetes.io/service-name` tag:

![](https://user-images.githubusercontent.com/808475/80142777-961c1980-8560-11ea-9202-40964dbff5e9.png)

Take note of the load balancer's name.

Go to the [API Gateway console](https://console.aws.amazon.com/apigateway/home), click "VPC Links" on the left sidebar, and click "Create"

![](https://user-images.githubusercontent.com/808475/80142466-0c6c4c00-8560-11ea-8293-eb5e5572b797.png)

Select "VPC link for REST APIs", name your VPC link (e.g. "cortex"), select the API load balancer, and click "Create".

![](https://user-images.githubusercontent.com/808475/80143027-03c84580-8561-11ea-92de-9ed0a5dfa593.png)

Wait for the VPC link to be created (it will take a few minutes)

![](https://user-images.githubusercontent.com/808475/80144088-bbaa2280-8562-11ea-901b-8520eb253df7.png)

### Create an API Gateway

Go to the [API Gateway console](https://console.aws.amazon.com/apigateway/home), select "REST API" under "Choose an API type", and click "Build"

![](https://user-images.githubusercontent.com/808475/78293216-18269e80-74dd-11ea-9e68-86922c2cbc7c.png)

Select "REST" and "New API", name your API (e.g. "cortex"), select either "Regional" or "Edge optimized" (depending on your preference), and click "Create API"

![](https://user-images.githubusercontent.com/808475/78293434-66d43880-74dd-11ea-92d6-692158171a3f.png)

Select "Actions" > "Create Resource"

![](https://user-images.githubusercontent.com/808475/80141938-3cffb600-855f-11ea-9c1c-132ca4503b7a.png)

Select "Configure as proxy resource" and "Enable API Gateway CORS", and click "Create Resource"

![](https://user-images.githubusercontent.com/808475/80142124-80f2bb00-855f-11ea-8e4e-9413146e0815.png)

Select "VPC Link", select "Use Proxy Integration", choose your newly-created VPC Link, and set "Endpoint URL" to "http\:///{proxy}". You can get your API load balancer endpoint via `cortex cluster info`; make sure to prepend `http://` and append `/{proxy}`. For example, mine is: `http://a5044e34a352d44b0945adcd455c7fa3-32fa161d3e5bcbf9.elb.us-west-2.amazonaws.com/{proxy}`. Click "Save"

![](https://user-images.githubusercontent.com/808475/80147407-4f322200-8568-11ea-8ef5-df5164c1375f.png)

Select "Actions" > "Deploy API"

![](https://user-images.githubusercontent.com/808475/80147555-86083800-8568-11ea-86af-1b1e38c9d322.png)

Create a new stage (e.g. "dev") and click "Deploy"

![](https://user-images.githubusercontent.com/808475/80147631-a7692400-8568-11ea-8a09-13dbd50b17b9.png)

Copy your "Invoke URL"

![](https://user-images.githubusercontent.com/808475/80147716-c798e300-8568-11ea-9aef-7dd6fdf4a68a.png)

### Use your new endpoint

You may now use the "Invoke URL" in place of your API load balancer endpoint in your client. For example, this curl request:

```bash
curl http://a5044e34a352d44b0945adcd455c7fa3-32fa161d3e5bcbf9.elb.us-west-2.amazonaws.com/my-api -X POST -H "Content-Type: application/json" -d @sample.json
```

Would become:

```bash
curl https://lrivodooqh.execute-api.us-west-2.amazonaws.com/dev/my-api -X POST -H "Content-Type: application/json" -d @sample.json
```

### Cleanup

Delete the API Gateway and VPC Link before spinning down your Cortex cluster:

![](https://user-images.githubusercontent.com/808475/80149163-05970680-856b-11ea-9f82-61f4061a3321.png)

![](https://user-images.githubusercontent.com/808475/80149204-1ba4c700-856b-11ea-83f7-9741c78b6b95.png)


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.cortexlabs.com/0.36/clusters/networking/https.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
