pictolearn

#!/bin/bash
##Note the below commands may need to be run as a sudo depending on the OS you are using.

# Updates the OPERATING SYSTEM
yum update -y

# Install EPEL, required for NGINX, note you would typically do a yum install -y epel-release but in case of
# AWS Linux you will need to do the following
amazon-linux-extras install epel -y

pictolearn

#The following steps to be performed after you download the PEM file
# For windows user "Load" the key, save as private key w/o a password. Save the private key as a .ppk extension
# For mac and linux users you can just use the pem file
chmod 400 <key-file>

#How to ssh into the EC2 instance
ssh -i <key-name> ec2-user@IP-ADDRESS

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# Find out what is running on what port in linux
# Lists all ports
netstat -l
# Specify a port and find out which process is using it
netstat -ltnp | grep -w ':80' 

# Look for what process is running on the unix box
ps -ef | grep <app-name>
Ex: ps  -eg | grep nginx

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# Find out what is running on what port in linux
# Lists all ports
netstat -l
# Specify a port and find out which process is using it
netstat -ltnp | grep -w ':80' 

# Look for what process is running on the unix box
ps -ef | grep <app-name>
Ex: ps  -eg | grep nginx

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# STOP NGINX
sudo systemctl stop nginx

#START NGINX
sudo systemctl start nginx

#To stop and then start the service again, type:
sudo systemctl restart nginx

# If you are simply making configuration changes, Nginx can often reload without dropping connections. 

pictolearn

Content-Type: multipart/mixed; boundary="//"
MIME-Version: 1.0

--//
Content-Type: text/cloud-config; charset="us-ascii"
MIME-Version: 1.0
Content-Transfer-Encoding: 7bit
Content-Disposition: attachment; filename="cloud-config.txt"

#cloud-config

pictolearn

Content-Type: multipart/mixed; boundary="//"
MIME-Version: 1.0

--//
Content-Type: text/cloud-config; charset="us-ascii"
MIME-Version: 1.0
Content-Transfer-Encoding: 7bit
Content-Disposition: attachment; filename="cloud-config.txt"

#cloud-config

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# Launches an instance
# aws ec2 run-instances \ 
# --image-id <ami-xxxxx> \
# --count 1 \
# --instance-type t2.micro \
# --key-name <your KeyPair> \
# --security-group-ids <group_id> \
# --subnet-id <your subnet id>
aws ec2 run-instances --image-id ami-0cc96feef8c6bbff3 --count 1 --instance-type t2.micro --key-name pictolearn-ec2 --security-group-ids sg-0bc5999645783c843 --subnet-id subnet-76f2c879

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import boto3 # a development kit package in AWS 
import os    # package which runs shell commands
import time  # package which handles date and time
def get_ec2_con_for_give_region(my_region):   #  function definition to get region
                ec2_con_re=boto3.resource('ec2',region_name=my_region)
                return ec2_con_re
def list_instances_on_my_region(ec2_con_re):  # function definition to get instance in that respective region
   for each in ec2_con_re.instances.all():
       print(each.id)
def get_instant_state(ec2_con_re,in_id):    # function definition to get the state of instances in that respective region

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{
    "Version": "2012-10-17",
    "Id": "Policy1559630929660",
    "Statement": [
        {
            "Sid": "Stmt1559630927924",
            "Effect": "Allow",
            "Principal": "*",
            "Action": [
                "s3:GetObject"