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Easier Docker based deployments to AWS.

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# fuku [![PyPI version](https://badge.fury.io/py/fuku.svg)](https://badge.fury.io/py/fuku)

Fuku is a (young) system to help manage web application infrastructure using AWS. It’s aim is to replicate some of the simplicity of Heroku without the cost.

## Requirements:

Please install the following requirements prior to installing Fuku:

  • Python 3.6
  • ssh
  • ssh-agent
  • gpg
  • psql
  • awscli

## Installation

Standard pip install:

`bash pip install fuku `

## Quickstart for new configurations

  1. Configure your AWS credentials as usual (aws configure).

  2. fuku profile ls to see available profiles.

    [optional] If you need multiple AWS profiles, create a new profile by editing the file ~/.aws/credentials and copying the default lines.

    fuku profile sl <profile> to select the active AWS profile for Fuku.

  3. fuku profile bucket <bucket> to set a workspace for Fuku.

  4. fuku region ls to see available regions.

    fuku region sl <region> to select a region.

  5. fuku cluster mk <name> to create a cluster.

## Quickstart for existing configurations

  1. Configure your AWS credentials as usual (aws configure).

  2. fuku profile ls to see available profiles.

    fuku profile sl <name> to select your profile.

  3. fuku profile bucket <bucket> to set a workspace for Fuku.

  4. fuku region ls to see available regions.

    fuku region sl <region> to select a region.

  5. fuku cluster ls to see available clusters.

    fuku cluster sl <cluster> to select a cluster.

    Enter password to access cluster key file.

  6. fuku app ls to see available apps.

    fuku app sl <app> to select an app.

  7. fuku pg ls to see available DBs.

    fuku pg sl <db> to select a DB.

    Enter password to access PGPASS file.

At this point you have configured your session for a particular cluster, application, and database. For convenience it’s best to cache the session for easy retrieval:

fuku session sv <name>

fuku session ld <name>

## Downloading current DB

To download the current database:

fuku pg dump <dumpfile> <dump_path>

## Upload DB

To overwrite a database with new content (CAUTION):

fuku pg restore <filename>

## SSH into a node

To access one of the nodes in the cluster directly:

fuku node ssh <name>

## Run an arbitrary command

To run a command:

fuku service run <task> <command>

This attaches to a running container from the specified task, then runs the provided command.

## Logging

To control logs printed use the flag –log, it uses the available logging levels (CRITICAL, WARNING, INFO, DEBUG)

fuku –log=DEBUG <command>

By default the logs are set to WARNING.

## Running fuku in Sub-processes

The default behaviour is to assume that one user is on a single app and/or DB instance at all time.

However if you need to spawn multiple processes running commands on different app and/or DB instance, you can use the –app or –db flags.

For example, we can run in parallel:

fuku –app=first_app service wait bg; fuku –app=first_app service run bg “./manage.py migrate”;

fuku –app=second_app service wait bg; fuku –app=second_app service run bg “./manage.py migrate”;

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