jsbonso

Transfer Data TO EC2

scp -i ~/.ssh/<your pem keyname>.pem <data to transfer> ec2-user@<IP Address>:<desired folder>/<data to transfer>

scp -i ~/.ssh/ec2.pem users.json ec2-user@192.28.25.144:app/users.json


Transfer Data FROM EC2 (Take note that there is a dot (.) on the end)

scp -i ~/.ssh/ec2.pem ec2-user@192.28.25.44:app/users.txt .

jsbonso

import boto3, os, json, time

REGION = os.environ['REGION']
ASG_NAME = os.environ['ASG_NAME']
SSM_PARAMETER_NAME = os.environ['SSM_PARAMETER_NAME']

ssm = boto3.client('ssm', region_name=REGION)
autoscaling = boto3.client('autoscaling', region_name=REGION)
ec2 = boto3.client('ec2', region_name=REGION)
def lambda_handler(event, context):

jsbonso

import boto3, os, json, time

REGION = os.environ['REGION']
ASG_NAME = os.environ['ASG_NAME']
SSM_PARAMETER_NAME = os.environ['SSM_PARAMETER_NAME']

ssm = boto3.client('ssm', region_name=REGION)
ec2 = boto3.client('ec2', region_name=REGION)
autoscaling = boto3.client('autoscaling', region_name=REGION)
def lambda_handler(event, context):

jsbonso

import boto3, os, json

REGION = os.environ['REGION']
ASG_NAME = os.environ['ASG_NAME']
SSM_PARAMETER_NAME = os.environ['SSM_PARAMETER_NAME']

ssm = boto3.client('ssm', region_name=REGION)
autoscaling = boto3.client('autoscaling', region_name=REGION)

def lambda_handler(event, context):

jsbonso

# 
# Real-time Monitoring of 5XX Errors using AWS Lambda, CloudWatch Logs and Slack
# Author: Tutorials Dojo Team
#

import json
import urllib3
import base64, zlib

http = urllib3.PoolManager()

jsbonso

#!/bin/bash
for i in {1..250}
do 
    curl -o /dev/null \
    -w "%{time_starttransfer}\n" \
    https://google.com >> prod.txt
done

jsbonso

# Get the latest file that's added in the folder
LATEST_FILE=`ls -tp | grep -v /$ | head -1`
echo $LATEST_FILE

# Upload the new file to your Amazon S3 Bucket. 
# In this example, the "jonbonso-media" S3 bucket has an associated CloudFront distribution
# with a custom domain of "media.jonbonso.com"
aws s3 cp $LATEST_FILE s3://jonbonso-media

jsbonso

{
    "Version": "2012-10-17",
    "Statement": [{
            "Sid": "Dynamic Start and Stop Scheduler Functions - Tutorials Dojo",
            "Action": [
                "autoscaling:EnterStandby",
                "autoscaling:ExitStandby",
                "autoscaling:PutScalingPolicy",
                "autoscaling:SetDesiredCapacity"
            ],

jsbonso

MY_IP=`curl checkip.amazonaws.com`
echo $MY_IP

aws ec2 authorize-security-group-ingress \
    --group-id sg-01298cde13c80c75 \
    --protocol tcp \
    --port 22 \
    --cidr $MY_IP/32 \
    --region us-east-1

jsbonso

# AWS Certified Solutions Architect-Professional SAP-C01 New Feb 2019 Version Exam

## Final Tips: 

1. Don't cram! If you are not ready to take the SAP-C01 exam, then just re-schedule it to a later date. Haste makes waste!
2. Read the question first and then look at the options. Most of the time, you will notice that there are two seemingly similar options which only differs in one or several keywords. This will help you eliminate the wrong options much easier. 
3. Take the free AWS Exam Readiness course in https://aws.training and other free courses/videos there.

## Exam Notes: 
- The new exam has *75* questions that you have to finish within *3* hours (180 minutes) with a minimum passing score of 750 out of 1000. The official AWS exam page says the exam is 170 minutes, but that is actually incorrect. I took the exam and it is 180 minutes and not 170 minutes.