anything-llm/cloud-deployments/aws/cloudformation/DEPLOY.md

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# How to deploy a private AnythingLLM instance on AWS
With an AWS account you can easily deploy a private AnythingLLM instance on AWS. This will create a url that you can access from any browser over HTTP (HTTPS not supported). This single instance will run on your own keys and they will not be exposed - however if you want your instance to be protected it is highly recommend that you set the `AUTH_TOKEN` and `JWT_SECRET` variables in the `docker/` ENV.
**Quick Launch**
2. Log in to your AWS account
3. Open [CloudFormation](https://us-west-1.console.aws.amazon.com/cloudformation/home)
4. Ensure you are deploying in a geographic zone that is nearest to your physical location to reduce latency.
5. Click `Create Stack`
6. Use the file `aws_no_creds.json` as your JSON template.
7. Launch. On first boot fill out your ENV keys and you are fully live.
Done.
**Custom Launch**
[Refer to .env.example](../../../docker/HOW_TO_USE_DOCKER.md) for data format.
The output of this cloudformation stack will be:
- 1 EC2 Instance
- 1 Security Group with 0.0.0.0/0 access on Ports 22 & 3001
- 1 EC2 Instance Volume `gb2` of 10Gib minimum
**Requirements**
- An AWS account with billing information.
- AnythingLLM (GUI + document processor) must use a t2.small minimum and 10Gib SSD hard disk volume
- `.env` file that is filled out with your settings and set up in the `docker/` folder
## How to deploy on AWS
1. Generate your specific cloudformation document by running `yarn generate:cloudformation` from the project root directory.
2. Log in to your AWS account
3. Open [CloudFormation](https://us-west-1.console.aws.amazon.com/cloudformation/home)
4. Ensure you are deploying in a geographic zone that is nearest to your physical location to reduce latency.
5. Click `Create Stack`
![Create Stack](../../../images/screenshots/create_stack.png)
6. Upload your `aws_cf_deploy_anything_llm.json` to the stack
![Upload Stack](../../../images/screenshots/upload.png)
7. Click `Next` and give your stack a name. This is superficial.
8. No other changes are needed, just proceed though each step
9. Click `Submit`
10. Wait for stack events to finish and be marked as `Completed`
11. View `Outputs` tab.
![Stack Output](../../../images/screenshots/cf_outputs.png)
## Please read this notice before submitting issues about your deployment
**Note:**
Your instance will not be available instantly. Depending on the instance size you launched with it can take anywhere from 10-20 minutes to fully boot up.
If you want to check the instance's progress, navigate to [your deployed EC2 instances](https://us-west-1.console.aws.amazon.com/ec2/home) and connect to your instance via SSH in browser.
Once connected run `sudo tail -f /var/log/cloud-init-output.log` and wait for the file to conclude deployment of the docker image.
You should see an output like this
```
[+] Running 2/2
⠿ Network docker_anything-llm Created
⠿ Container anything-llm Started
```
Additionally, your use of this deployment process means you are responsible for any costs of these AWS resources fully.