{"id":17396871,"url":"https://github.com/rolfkoenders/image-processing-service","last_synced_at":"2026-04-09T01:32:24.538Z","repository":{"id":77156377,"uuid":"93871936","full_name":"RolfKoenders/image-processing-service","owner":"RolfKoenders","description":"Image processing micro service. 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The image which is uploaded to the nodejs API will be uploaded to a shared volume\n2. When the image is uploaded a message will be pushed on the queue\n3. The workers which will be written in Golang will pickup the message, take the image and resize/scale them so we have three different sizes. (small, medium, large)\n\n## Starting up\nBefore starting everything up with docker compose, make sure to launch the `setup.sh` script. This script will create the missing folder where the uploaded images will be stored and install all the dependencies for the nodejs api.\n\n```bash\n# In the project dir\n$ ./setup.sh\n```\n\nThen we can bring everything up with docker compose\n```bash\n$ docker-compose up --build\n```\n\nThis will build and spin up the following container\n- RabbitMQ\n- Nginx\n- API\n- Worker\n\n### RabbitMQ\n[RabbitMQ](https://www.rabbitmq.com/) is the most widely deployed open source message broker. The management portal is listening on port `15672`\n\n### Nginx\nProxy layer for the API and used to serve static files. Open a browser window and go to http://localhost:8080 to see the upload form.\n\n### API\nSimple API layer written in [node.js](https://nodejs.org/en/). This is the API where the submitted form will end up.\n\n### Worker\nThe worker which is going to process the images and takes care of resizing them. \n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frolfkoenders%2Fimage-processing-service","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Frolfkoenders%2Fimage-processing-service","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frolfkoenders%2Fimage-processing-service/lists"}