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seventhskye / aws-cloudwatch-event
Created July 13, 2017 11:42
A CloudWatch event JSON string for testing within lambda functions.
{
"Records": [
{
"EventSource": "aws:sns",
"EventVersion": "1.0",
"EventSubscriptionArn": "arn:aws:sns:eu-west-1:000000000000:cloudwatch-alarms:xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx",
"Sns": {
"Type": "Notification",
"MessageId": "xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx",
"TopicArn": "arn:aws:sns:eu-west-1:000000000000:cloudwatch-alarms",
@seventhskye
seventhskye / lambda_cron.py
Last active October 6, 2016 13:34
A lambda function to perform cron tasks, this one deletes cloudformation stacks. Fill in REGEX with a regular expression for the CF stack name you wish to delete.
import sys
import boto3
import re
def lambda_handler(event, context):
cloudformation = boto3.client('cloudformation')
stacks = cloudformation.describe_stacks()['Stacks']
for s in stacks:
if re.match(REGEX, s['StackName'], flags=0):
@seventhskye
seventhskye / associate_eip_address.py
Created September 28, 2016 13:23
Script to update an EC2 instance with an elastic IP.
#!/usr/bin/env python
import boto3
import requests
def main(argv):
instance_id = requests.get('http://169.254.169.254/latest/meta-data/instance-id').text
allocation_id = argv[1]
client = boto3.client('ec2')
response = client.associate_address(InstanceId=instance_id,AllocationId=allocation_id)
@seventhskye
seventhskye / delete_all_objects.py
Last active February 14, 2023 12:08
A script to delete all objects, versions and delete markers from an s3 bucket.
#!/usr/bin/env python
import boto3
client = boto3.client('s3')
Bucket = 'a-bucket'
Prefix = 'a-prefix' # leave blank to delete the entire contents
IsTruncated = True
MaxKeys = 1000
KeyMarker = None
@seventhskye
seventhskye / s3_object_acl.py
Created September 16, 2016 09:37
A script to iterate through a bucket and change object acl's.
#!/usr/bin/env python
import boto3
client = boto3.client('s3')
bucket = 'your-bucket'
prefix = 'a-path-in-s3'
NextContinuationToken = True
while NextContinuationToken:
if NextContinuationToken == True:
@seventhskye
seventhskye / s3_continuation.py
Created September 15, 2016 11:39
A script to loop through a list of bucket objects that would exceed the max-keys.
#!/usr/bin/env python
import boto3
client = boto3.client('s3')
bucket = 'you-s3-bucket'
prefix = 'a-prefix'
NextContinuationToken = True
while NextContinuationToken:
if NextContinuationToken == True:
@seventhskye
seventhskye / mnist_softmax.py
Last active August 19, 2016 17:21
The beginners tutorial mnist-softmax script, from the TensorFlow website. https://www.tensorflow.org/versions/r0.10/tutorials/mnist/beginners/index.html#softmax-regressions
# https://www.tensorflow.org/versions/r0.10/tutorials/mnist/beginners/index.html#softmax-regressions
# download and read in the data automatically:
from tensorflow.examples.tutorials.mnist import input_data
mnist = input_data.read_data_sets("MNIST_data/", one_hot=True)
import tensorflow as tf
# model for handwritten digit [0-9]
# y = softmax(Wx + b)
@seventhskye
seventhskye / master_and_slave
Created August 4, 2016 14:51
A script to detect all the instances in an autoscaling group and assign one as the master.
#!/usr/bin/env python
import sys
import boto3
def main(argv):
autoscaling = boto3.client('autoscaling')
auto_scaling_groups = autoscaling.describe_auto_scaling_groups()['AutoScalingGroups']
for asg in auto_scaling_groups:
break
@seventhskye
seventhskye / sse_policy.json
Created August 1, 2016 10:30
Policy to require Server side encrpytion on access to an s3 bucket.
{
"Version": "2012-10-17",
"Id": "Policy1469359009696",
"Statement": [
{
"Sid": "Stmt1469359007124",
"Effect": "Allow",
"Principal": "*",
"Action": "s3:*",
"Resource": "arn:aws:s3:::<BUCKET_NAME>/*",
@seventhskye
seventhskye / lights
Created August 1, 2016 10:10
A python script to shutdown amazon instances, and autoscaling groups. Requires a tag called ScheduledUptime=True on resources this script need to apply to.
#!/usr/bin/env python
import sys
import boto3
def main(argv):
ec2 = boto3.resource('ec2')
instances = ec2.instances.all()
elb = boto3.client('elb')
autoscaling = boto3.client('autoscaling')
auto_scaling_groups = autoscaling.describe_auto_scaling_groups()['AutoScalingGroups']