A simple CLI tool to deploy Python & Node microservices on linux instaces. Built on top of invoke, fabric and patchwork.

bigga, reckonsys, cli, deploy, deployment, deploy-tool, docker, docker-compose, infrastructure, infrastructure-automation, infrastructure-management, kompose, kubernetes, kubernetes-deployment, python, traefik
pip install bigga==0.2.1


Bigga (Community Edition)

Bigga (Community Edition): A generic Docker Compose boilerplate to deploy your microservices (optimized for Python)

This setup contains everything you need to get started with a single-instance, production-grade container deployment

Please get in touch with Reckonsys for the Enterprise edition.


Bigga Poster

Blog post: Reckonsys Engineering Blog


  1. Fork this repo (So you can pull updates from us time to time)
  2. Start new machine - docker-machine create -d virtualbox dev. more drivers
  3. Configure your shell to use the new machine environment - eval $(docker-machine env dev)
  4. Change the build paths in the docker-compose.yml file to point to your local repositories
  5. Make sure that there is a .dockerignore file in each of your repositories that ignores unwanted files/folders line venv, .git, node_modules folders, etc.
  6. Build images - docker-compose build
  7. Start services - docker-compose up -d
  8. Create migrations - docker-compose exec worker /usr/local/bin/python migrate (Please ensure you are not running this command in backend and image that might receive traffic from traefik. Because you don't want a request to come to this container and fail. )
  9. Grab IP - docker-machine ip dev - and view in your browser


Suppose you want to run X backend containers and Y worker containers: docker-compose scale backend=X worker=Y

S3 Based front-end deployment

Refer our S3 deployment guide:

Importing / Exporting Docker Machines

Use the machine-share npm package. Check out the docs on this GitHub repo: bhurlow/machine-share

Inspecting / Deleting Volumes

  • To list your volumes: docker volume ls
  • To inspect a volume: docker volume inspect my_volume_name
  • To remove a volume: docker volume rm my_volume_name

Be sure to run docker-compose down before removing volume to prevent it from being activly used while deleting.


Refer our troubleshooting guide:

More Docs:




Migrating to another RDS Instance

DROP and CREATE a new DB on RDS

Pending Integrations



Enterprise Edition

Enterprise edition is a Production Ready setup which contains full-fledged Kubernetes support (So obviously support multiple instances across multiple regions), High-Availability configuration, Multi-Tenant configuration, Metrics and Priority Support.

Reckonsys offers paid support along with the Enterprise Edition of Bigga. Please contact for more details.