# Getting Started

## Install via Docker-Compose

```
mkdir -p ~/cuebook
wget https://raw.githubusercontent.com/cuebook/CueObserve/latest_release/docker-compose-prod.yml -q -O ~/cuebook/docker-compose-prod.yml
wget https://raw.githubusercontent.com/cuebook/CueObserve/latest_release/.env -q -O ~/cuebook/.env
cd ~/cuebook
```

```
docker-compose -f docker-compose-prod.yml --env-file .env up -d
```

Now visit [localhost:3000](http://localhost:3000) in your browser. 

## Add Connection

Go to the Connections screen to create a connection.

![](https://2208403543-files.gitbook.io/~/files/v0/b/gitbook-legacy-files/o/assets%2F-Mdq_hGRVa-mnRCfA6lY%2F-MeoS2F49-tF2Yox0_6a%2F-MeoTKcNhfE946RSpra3%2FAddConnection.png?alt=media\&token=6a9adb6b-2627-47d9-b780-b3aeb5c9207e)

## Add Dataset

Next, create a dataset using your connection. See [Datasets](https://cueobserve.cuebook.ai/datasets) for details.

## Define and Run Anomaly job

Create an anomaly detection job on your dataset. See [Anomaly Definitions](https://cueobserve.cuebook.ai/anomaly-definitions) for details.

Once you have created an anomaly job, click on the \`Run\` icon button to trigger the anomaly job. It might take a few seconds for the job to execute.

![](https://2208403543-files.gitbook.io/~/files/v0/b/gitbook-legacy-files/o/assets%2F-Mdq_hGRVa-mnRCfA6lY%2F-MhHQh1b_Pdz5yLQho2Q%2F-MeoFHVtO-OZOWUlLulX%2FAnomalyDefinitions.png?alt=media\&token=f9fdbbaf-3a83-426a-b34e-da4e6be17d65)

Once the job is successful, go to the Anomalies screen to view your anomalies.