An elaborate run-through of installing and configuring OMS using Shell Scripts and Docker

Introduction

OMS, a project designed for seamless orchestration management, provides functionalities applicable for various deployment platforms including Windows and Linux. This guide will walk you through the installation and configuration process step by step, ensuring you can efficiently leverage the capabilities of OMS.

Prerequisites

• Access to a terminal with Git and Docker installed
• Basic understanding of YAML configuration files and Docker
• Node.js and Yarn installed for building the frontend

Installation Steps

1. Clone the Repository

Start by cloning the OMS repository from GitHub. This will download the source code including submodules.

git clone --recurse-submodules https://github.com/ssbeatty/oms.git

2. Build the Frontend

Navigate to the web directory and build the frontend using Yarn.

cd web/omsUI
yarn
yarn build

3. Build the Backend

For Linux, run the following command to compile the Go backend.

go build -o oms cmd/omsd/main.go

For Windows users, the command is similar, just adjust the output file accordingly.

wgo build -o oms.exe cmd/omsd/main.go

Configuration

4. Edit config.yaml

Before running the application, adjust the config.yaml file to suit your database configuration. Below is an example configuration:

app:
  name: oms
  addr: 127.0.0.1
  port: 9090
  mode: dev
  run_start: false
14db:
  driver: postgres
  user: root
  password: 123456
  dsn: 127.0.0.1:3306
  db_name: oms

Deployment with Docker

Utilize Docker Compose for a smooth deployment experience. Here’s a sample docker-compose.yaml configuration:

version: '2.3'
services:
  oms:
    image: ghcr.io/ssbeatty/oms:v0.6.8
    restart: always
    extra_hosts:
      - host.docker.internal:host-gateway
    ports:
      - 9090:9090
    volumes:
      - .data:/opt/oms/data
      - .config:/etc/oms

Troubleshooting

If you encounter issues during installation or can’t access the application, consider these troubleshooting ideas:

• Ensure that all services are running correctly. Check the Docker logs for any error messages.
• Verify that the configurations in config.yaml are accurately set, especially the database credentials.
• Review port configurations to ensure there are no conflicts or blocks by firewall settings.

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Conclusion

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