def deploy_instance():
ec2 = boto3.resources('ec2')
instances = ec2.create_instances(
ImageId=input("Enter ami ID:\n"),
MinCount=1,
MaxCount=int(input("How many instances you want?\n")),
InstanceType=input(Which type of instance you want?\n),
KeyName=input("What name you want for the key to access the server?\n")
)
def check_instance_count():
session = Session()
# TODO: How to check which jobs are currently running/waiting?
num_jobs = (session.query(tQueue).filter(
tQueue.progress == 'something').count())
ec2 = boto3.resources('ec2')
instances = ec2.instances.filter(Filters=[{
'Name': 'instance-state-name',
'Values': ['running']
}])
run_count = len(instances)
if num_jobs / run_count > awsc.JOBS_PER_INSTANCE:
# TODO: Where to get image id?
ec2.create_instances(ImageId='<ami-image-id>', MinCount=1, MaxCount=5)
elif num_jobs / run_count - 1 < sc.JOBS_PER_INSTANCE:
ids = (session.query(tComputer).filter(
not_(tComputer.name.in_(awsc.LOCAL_MACHINES))))
# Could also filter based on this criteria in query maybe
ids.remove('remove ids based on some criteria - dont stop them all')
ec2.instances.filter(InstanceIds=ids).stop()
ec2.instances.filter(InstanceIds=ids).terminate()
# -*- coding: utf-8 -*-
"""
Created on Sun Mar 28 15:24:33 2021
@author: ALI
"""
import boto3
from botocore.client import Config
ACCESS_KEY_ID = ''
ACCESS_SECRET_KEY = ''
BUCKET_NAME = 'bucketali'
data = open('img104.jpg', 'rb')
s2 = boto3.resources('s3',
aws_access_key_id=ACCESS_KEY_ID,
aws_secret_access_key=aws_secret_access_key,
config=Config(signature_version='s3v4'))
s3.Bucket(BUCKET_NAME).put_object(key='img104.jpg',
Body=data,
ContentType='image/jpg')
print("Done")
import boto3
from datetime import datetime
from msvcrt import getch
autoS_client = boto3.client('autoscaling') #created an autoscaling client
ec2 = boto3.resources('ec2')
cloudwatch = boto3.client('cloudwatch')
with open("startup.sh", 'r') as f:
script = f.read()
keyname = "Cloud_Lab0" #key pair name from cosole
print("\nCreating Instance...\n")
instances = ec2.create_instances(
ImageId='ami-07c8bc5c1ce9598c3', #ami of the instance
InstanceType='t2.micro',
KeyName=keyname,
UserData=script,
SecurityGroups=['boto3users'],
MinCount=1,
MaxCount=1)
instance = instances[0]
print("\nCreating Launch Configuration for Autoscaling...\n")
lauch_config = autoS_client.create_launch_configuration(
LaunchConfigurationName="lab4_as_launch_config",
ImageId='ami-07c8bc5c1ce9598c3', #ami of the instance
InstanceType='t2.micro',
import boto3
import boto
ec2=boto3.resources("ec2")
for i in ec2.instances.all():
for tag in i.tags:
if 'Name'in tag['Key']:
name=tag['Value']
if 'aws:cloudformation:stack-name' tag['Key']:
stack_name=tag['Value']
print i.id, i.state['Name'], i.platform, i.launch_time, name,stack_name
cfn = boto.cloudformation.connect_to_region("eu-west-1")
for stack in cfn.describe_stacks():
print stack.stack_name, stack.stack_id, stack.stack_status,stack.creation_time,stack.LastUpdatedTime
def read_from_s3():
obj = boto3.resources('s3').Object('lmtd-class', 'heyshefan.json')
print(type(obj))
data = json.load(obj.get()['body'])
print(data)
def start_instance():
instances=input("Enter the ids of the instances that you want to destroy: ")
ids = [instances]
ec2 = boto3.resources('ec2')
ec2.instances.filter(InstancesIds = ids).start()
def main():
ec2_ob=boto3.resources("ec2","us-east-1")
db_group=get_hosts(ec2_ob,'db')
#!/usr/bin/python
#Importing Libraries
import boto3
import sys
#creating variables for input to obtain required details
ec2id = sys.argv[1]
reg = sys.argv[2]
#calling ec2 client through boto3
client = boto3.client('ec2')
ec2 = boto3.resources('ec2', region_name=reg)
all_sg_ids = [sg['GroupId'] for sg in ec2.Instance(ec2id).security_groups]
for secid in all_sg_ids;
result = client.describe_security_groups(GroupIds=[secid])
print(result)