saigyo / amazon_start_stop

This is a sample "script" to schedule start and stop Amazon EC2 instances based on a date time range

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Amazon start and stop

This is a sample "script" to schedule start and stop Amazon EC2 instances based on a date time range, i.e. start at 6AM and stop at 0AM.

Have a look at AWS Calculator to see how much you can save by stopping unsed instances from 0AM to 6AM (save 25%) or other date time ranges.

Usage

Checkout amazon_start_stop.

$ git clone git@github.com:phstc/amazon_start_stop.git
$ cd amazon_start_stop

Heroku

  1. Create a Heroku account if don't have one and install the Heroku Toolbelt.
  2. Create a new app.
$ heroku apps:create

Deploy

$ git push heroku master

AWS Parameters and Credentials

Configure your AWS Credentials using Heroku config vars.

$ heroku config:set AWS_ACCESS_KEY_ID=
$ heroku config:set AWS_SECRET_ACCESS_KEY=

# The instance id to start and stop, e.g. i-1a1aa111
$ heroku config:set AWS_INSTANCE_ID=

# The region where your instance resides, e.g. eu-west-1 
$ heroku config:set EC2_REGION=

# Leave blank if you don't need to associate an Elastic IP
# (everytime you stop an instance Amazon dissociates Elastic IPs)
$ heroku config:set AWS_ELASTIC_IP=

# The start and stop times (in 24h clock hours, UTC timezone) are configured per config vars as well:
$ heroku config:set START_HOUR=
$ heroku config:set STOP_HOUR=

In development create an .env.

# .env
AWS_ACCESS_KEY_ID=
AWS_SECRET_ACCESS_KEY=
AWS_INSTANCE_ID=
EC2_REGION=
AWS_ELASTIC_IP=
START_HOUR=
STOP_HOUR=

See env.example for an example.

Heroku Scheduler

Add and configure Heroku Scheduler add-on standard (free add-on).

$ heroku addons:add scheduler:standard
$ heroku addons:open scheduler

In the Scheduler Dashboard add a new Scheduler.

TASK DYNO SIZE FREQUENCY
bin/amazon_start_stop 1x Every 10 minutes

Manual execution

In production.

$ heroku run bundle exec ruby bin/amazon_start_stop
# to check the script output
$ heroku logs

In development.

$ foreman start

About

This is a sample "script" to schedule start and stop Amazon EC2 instances based on a date time range


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