Skip to main content

boto api on amazon ec2

Here are several examples of boto api on amazon ec2:


Connect to a region:
conn=boto.ec2.connect_to_region('us-west-1a')

Get an instance by id:
instance = conn.get_all_instances(['i-xxxxxxxx'])[0].instances[0]

Run(create) an instance:
conn.run_instances(image_id=u'ami-xxxxxxxx', key_name='default', security_groups=['default-group'],
                  instance_type='m2.4xlarge', placement='us-west-1a')

Add/remove a tag for an instance:
instance.add_tag('Name','default')
instance.remove_tag('Name')

Reboot an instance:
instance.reboot()

Terminate an instance:
instance.terminate()

Get an ebs volume by id:
volume = conn.get_all_volumes(['vol-xxxxxxxx'])[0]

Attach an ebs volume to an instance:
volume.attach(instance.id, '/etc/sdh')
conn.attach_volume(volume.id, instance.id, '/dev/sdh')
Labels:

Comments

Post a Comment

Popular posts from this blog

A simple implementation of DTW(Dynamic Time Warping) in C#/python

DTW(Dynamic Time Warping) is a very useful tools for time series analysis. This is a very simple (but not very efficient) c# implementation of DTW, the source code is available at  https://gist.github.com/1966342  . Use the program as below: double[] x = {9,3,1,5,1,2,0,1,0,2,2,8,1,7,0,6,4,4,5}; double[] y = {1,0,5,5,0,1,0,1,0,3,3,2,8,1,0,6,4,4,5}; SimpleDTW dtw = new SimpleDTW(x,y); dtw.calculateDTW(); The python implementation is available at  https://gist.github.com/3265694  . from python-dtw import Dtw import math dtw = Dtw([1, 2, 3, 4, 6], [1, 2, 3, 5],           distance_func=lambda x, y: math.fabs(x - y)) print dtw.calculate() #calculate the distance print dtw.get_path() #calculate the mapping path
14 comments
Read more

Install mysql-python with mariadb

mysql-python requires libmysqlclient-dev in ubuntu, but the installation of mariadb will have the lib with unmet dependenccies, so the error of "mysql_config not found" may occurred if you install mysql-python via pip. The case is that mariadb has a compatible package, if you have the ppa setup as in  http://downloads.mariadb.org/ . Just "sudo apt-get install libmariadbclient-dev".
2 comments
Read more

PrefixSpan source code in python

The prefixspan is a key algorithm for mining sequential patterns. I have implemented the algorithm in Python. The algorithm is based on the following paper: Jian Pei, Jiawei Han, Senior Member, Behzad Mortazavi-asl, Jianyong Wang, Helen Pinto, Qiming Chen, Umeshwar Dayal. Mining Sequential Patterns by Pattern-Growth: The PrefixSpan Approach. IEEE Transactions on Knowledge and Data Engineering, 2004. or their conference paper You may download the source code at the following addresses: Link1
4 comments
Read more