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Stop and Start Environment

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Chris Fregly edited this page Jun 28, 2016 · 4 revisions

Stop your Cloud Instance

  • Your Cloud Provider allows you to Stop your Cloud Instance to save money
  • This freezes the state of the instance - including the running Docker Container
  • You can resume your work later by following the steps below

Restarting after Stopping your Cloud Instance

  • Re-Start Cloud Instance through Cloud Provider UI

  • SSH (or Putty/Windows) into your Cloud Instance similar to the initial setup using the SSH .pem (or .ppk/Windows) file

Start the Docker Container

sudo docker start pipeline

Connect to the Running Docker Container

sudo docker exec -it pipeline bash
# HIT ENTER A FEW TIMES IF IT APPEARS STUCK
  • HIT ENTER A FEW TIMES IF IT APPEARS STUCK

Start All Services

cd $PIPELINE_HOME && start-all-services.sh

Start Spark Streaming

cd $PIPELINE_HOME && start-spark-streaming.sh

Verify the Startup

  • Continue with the same instructions from this step onward

Explore Services

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0. Architecture Overview

Environment Setup

1. Setup Cloud Environment

2. Environment README

3. Start Docker Environment

Demos

4. Demo Code Layout

5. Explore Services

6. Serve Batch Recommendations

7. Realtime Recommendations

8. Streaming Probabilistic Algos

9. TensorFlow Image Classifier

10. AWS GPU TensorFlow Docker

11. Monitoring Metrics

Active Research (Unstable)

12. More TensorFlow Examples

13. Spark ML Code Generation

14. Spark ML PMML Support

15. Kubernetes Docker Spark ML

Managing Environment

15. Stop and Start Environment

16. Save and Restore Environment

17. Troubleshooting Guide

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