mirror of
https://github.com/Mintplex-Labs/anything-llm.git
synced 2024-11-09 00:10:10 +01:00
64 lines
3.0 KiB
Markdown
64 lines
3.0 KiB
Markdown
# 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. |