adding travis based docker hub deployment

.travis.yml

@@ -12,4 +12,7 @@ install:
 - pip install -r requirements.txt
 script:
 - sudo sh test/travis_ci_scripts/travis_ci_build_script.sh
-- python -m unittest discover
+- python -m unittest discover
+deploy:
+  provider: script
+  script: bash  test/travis_ci_scripts/deploy.sh

README.md

@@ -1,11 +1,9 @@
 # Nebula worker
 
-Travis CI unit tests: [![Build Status](https://travis-ci.org/nebula-orchestrator/worker.svg?branch=master)](https://travis-ci.org/nebula-orchestrator/worker)
+Travis CI unit tests & autobuild: [![Build Status](https://travis-ci.org/nebula-orchestrator/worker.svg?branch=master)](https://travis-ci.org/nebula-orchestrator/worker)
 
 Shippable ARM autobuild: [![Run Status](https://api.shippable.com/projects/5bab745d36c1700700ded430/badge?branch=master)]() 
 
-Docker Hub autobuild: ![](https://img.shields.io/docker/build/nebulaorchestrator/worker.svg)
-
 ## Main website available [here](https://nebula-orchestrator.github.io/), refer to the [documentation](http://nebula.readthedocs.io/en/latest/) for more details about how to install & use.
 
 Nebula is a open source distributed Docker orchestrator designed for massive scales (tens of thousands of servers/worker devices), unlike Mesos/Swarm/Kubernetes it has the ability to have workers distributed on high latency connections (such as the internet) yet have the pods(containers) be managed centrally with changes taking affect (almost) immediately, this makes Nebula ideal for managing a vast cluster of servers\devices across the globe, some example use cases are: