> For the complete documentation index, see [llms.txt](https://gotolabs.gitbook.io/lightninguservault/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://gotolabs.gitbook.io/lightninguservault/getting-started/quickstart-guide/docker-deployment.md).

# Docker Deployment

Welcome to the Docker Deployment section for LightningUserVault.  Docker offers a consistent and reproducible environment, making it a breeze to set up and run LightningUserVault

🐳 **Getting Started with Docker**

In the LightningUserVault repository, you'll find a dedicated `docker` folder that contains everything you need to get started with Docker deployment. Here's the link to the [folder](https://github.com/Aleksao998/LightingUserVault/tree/main/docker) for your convenience.

Inside this folder, there are two essential files:

1. `Dockerfile`: This file contains the instructions to build the LightningUserVault Docker image. It sets up the Go environment, copies your application files, and compiles the application.
2. `docker-compose.yaml`: This file defines and configures the services you'll need to run LightningUserVault. It ensures that all the components of your application run in harmony.

🚀 **What's Bootstrapped Using Docker?**

1. **Webapp (LightningUserVault)**: This is the core application responsible for user data storage and retrieval functionalities.
2. **Postgres**: An advanced relational database system. If you opt for the SQL storage method, user data will be stored here.
3. **Memcached**: An in-memory key-value store known for its high performance. It's used in LigningUserVault to cache data, significantly speeding up data retrieval operations.
4. **Prometheus**: An open-source monitoring and alerting toolkit. It's integrated to collect and store metrics from the application, providing insights into its performance.
5. **Grafana**: A popular open-source platform for monitoring and observability. It visualizes the metrics collected by Prometheus, offering detailed dashboards for better understanding and analysis of the application's performance.

⚙️ **Configuration and Customization**

By default, the Docker deployment uses a set of predefined parameters. However, if you wish to customize these settings, you can easily do so by modifying the `docker-compose.yaml` file. The environment section under the `webapp` service contains various parameters like `LOG_LEVEL`, `SERVER_ADDRESS`, and more. Adjust these values as per your requirements before starting the Docker containers.

📝 **How to (from docker folder):**

```bash
Start the Docker Services:
docker-compose up -d

Stop the Docker Services:
docker-compose down
```