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+# Kubernetes
+
+### Requirements
+
+- A kubernetes cluster
+- kubectl
+- kustomize
+
+### 1. Get the deployment manifests
+
+You can clone the repository and copy the `/kubernetes` directory into another directory of your choice.
+
+### 2. Populate the environment variables
+
+To configure the app, edit the configuration in `.env`.
+
+
+You **should** change the random strings. You can use `openssl rand -base64 36` to generate the random strings. You should also change the `NEXTAUTH_URL` variable to point to your server address.
+
+Using `HOARDER_VERSION=release` will pull the latest stable version. You might want to pin the version instead to control the upgrades (e.g. `HOARDER_VERSION=0.10.0`). Check the latest versions [here](https://github.com/hoarder-app/hoarder/pkgs/container/hoarder-web).
+
+### 3. Setup OpenAI
+
+To enable automatic tagging, you'll need to configure OpenAI. This is optional though but hightly recommended.
+
+- Follow [OpenAI's help](https://help.openai.com/en/articles/4936850-where-do-i-find-my-openai-api-key) to get an API key.
+- Add the OpenAI API key to the `.env` file:
+
+```
+OPENAI_API_KEY=<key>
+```
+
+Learn more about the costs of using openai [here](/openai).
+
+<details>
+    <summary>[EXPERIMENTAL] If you want to use Ollama (https://ollama.com/) instead for local inference.</summary>
+
+    **Note:** The quality of the tags you'll get will depend on the quality of the model you choose. Running local models is a recent addition and not as battle tested as using openai, so proceed with care (and potentially expect a bunch of inference failures).
+
+    - Make sure ollama is running.
+    - Set the `OLLAMA_BASE_URL` env variable to the address of the ollama API.
+    - Set `INFERENCE_TEXT_MODEL` to the model you want to use for text inference in ollama (for example: `mistral`)
+    - Set `INFERENCE_IMAGE_MODEL` to the model you want to use for image inference in ollama (for example: `llava`)
+    - Make sure that you `ollama pull`-ed the models that you want to use.
+
+
+</details>
+
+### 4. Deploy the service
+
+Deploy the service by running:
+
+```
+make deploy
+```
+
+### 5. Access the service
+
+By default, these manifests expose the application as a LoadBalancer Service. You can run `kubectl get services` to identify the IP of the loadbalancer for your service.
+
+Then visit `http://<loadbalancer-ip>:3000` and you should be greated with the Sign In page.
+
+> Note: Depending on your setup you might want to expose the service via an Ingress, or have a different means to access it.
+
+### [Optional] 6. Setup quick sharing extensions
+
+Go to the [quick sharing page](/quick-sharing) to install the mobile apps and the browser extensions. Those will help you hoard things faster!
+
+## Updating
+
+Edit the `HOARDER_VERSION` variable in the `kustomization.yaml` file and run `make clean deploy`.