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 for your convenience.
Inside this folder, there are two essential files:
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.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?
Webapp (LightningUserVault): This is the core application responsible for user data storage and retrieval functionalities.
Postgres: An advanced relational database system. If you opt for the SQL storage method, user data will be stored here.
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.
Prometheus: An open-source monitoring and alerting toolkit. It's integrated to collect and store metrics from the application, providing insights into its performance.
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):
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