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Pandatech.ModularMonolith - Modular Monolith Application

Introduction

This project serves as a template for creating .NET Web API applications. It's pre-configured with essential dependencies and a Docker setup for ease of development and deployment. The template is designed to be flexible, allowing easy removal of unnecessary components and addition of new features.

Project Structure

Root Directory: Contains the solution file for the project.

src Folder: Houses all the source code and module related tests.

tests Folder: Contains e2e tests.

Docker File Located at the root, used for creating a Docker container for the application. Dockerfile.Local and docker-compose are for local development.

External Dependencies

This project integrates various services and configurations:

Postgres: Used as the primary database.

Redis: Implemented for caching purposes.

RabbitMQ (RMQ): Utilized for messaging and event-driven architecture.

Elasticsearch: Employed for logging advanced search capabilities.

appsettings{environment}.json: Configuration settings for the application.

Project built-in features

Integration tests setup: The project is pre-configured with integration tests. Health checks: The project has health checks for the database and other services. Also endpoint for prometheus. OpenTelemetry: The project is pre-configured with OpenTelemetry for logging and tracing. Prometheus: The project is pre-configured with Prometheus for monitoring. Hangfire The project is pre-configured with Hangfire for background jobs. ResponseCrafter The project is pre-configured with ResponseCrafter for consistent exception handling. Serilog The project is pre-configured with Serilog for logging. It asynchronously logs to Elasticsearch. RegexBox The project is pre-configured with RegexBox which will provide all essential regex patterns.

Getting Started

Pre-requisites:

Basic Commands

  • dotnet restore - Restore dependencies
  • dotnet build - Build the project
  • dotnet run - Run the project
  • dotnet test - Run tests
  • docker-compose up - Run the project in Docker

Features

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