PR Review

content/launching_ec2_spot_instances/_index.md

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 ## Overview
+In this workshop you learn about the fundamentals of [EC2 Spot Instances](https://aws.amazon.com/ec2/spot/) including recommended tools to: launch Spot Instances, test for resiliency, and view pricing history.
 
-In this workshop, you will learn how to provision, and maintain EC2 Spot Instances capacity using [Amazon EC2 Auto Scaling groups](https://docs.aws.amazon.com/autoscaling/ec2/userguide/what-is-amazon-ec2-auto-scaling.html), and [EC2 Fleet](https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/ec2-fleet.html) in instant mode, leveraging [Launch Templates](https://docs.aws.amazon.com/autoscaling/ec2/userguide/launch-templates.html) to specify instance configuration information. You will learn to take advantage of AWS tools to implement EC2 Spot best practices. Firstly, we will use [attribute-based instance selection](https://docs.aws.amazon.com/autoscaling/ec2/userguide/create-asg-instance-type-requirements.html) to implement instance diversity and flexibility based on EC2 metadata.  Secondly, you will use [Spot Placement Score](https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/spot-placement-score.html) to determine which Region/AZ has optimal EC2 Spot capacity for you workloads. Thirdly, you will learn to use [Amazon Fault Injection Simulator](https://aws.amazon.com/fis/) to triggering an EC2 Spot Instance interruption so that you can test resiliency of your workload. Lastly, you will learn to use [Spot Blueprints](https://console.aws.amazon.com/ec2sp/v2/home?region=us-east-1#/spot/blueprints?show_feedback=true) to quickly get complete workload configuration in infrastructure as code templates. In short, this workshop is intended to showcase the steps you need to quickly kick-start your Spot journey using Amazon EC2 Auto Scaling or EC2 Fleet.
+You play the role of a DevOps engineer who is given a sample application and tasked to deploy it cost efficiently using EC2 Auto Scaling groups and EC2 Fleet in an optimal AWS Region. Post deployment you simulate Spot Instance interruptions to test the resiliency of Auto Scaling groups, and  finally calculate the estimated cost savings.
 
-## Background
-
-[Amazon EC2 Spot Instances](https://aws.amazon.com/ec2/spot/) offer spare compute capacity available in the AWS Cloud at steep discounts compared to On-Demand prices. EC2 can interrupt EC2 Spot Instances with two minutes of notification when EC2 needs the capacity back. You can use EC2 Spot Instances for various fault-tolerant and flexible applications. Spot workloads should be flexible, meaning they can utilize a variety of different EC2 instance types and/or have the ability to be run real time where the spare capacity currently is. 
-
-Some examples of workloads running on EC2 Spot are analytics, containerized workloads, high-performance computing (HPC), stateless web servers, rendering, CI/CD, and other test and development workloads. 
-
-AWS services including [Amazon EKS](https://aws.amazon.com/eks/), [Amazon ECS](https://aws.amazon.com/ecs/), [Amazon EMR](https://aws.amazon.com/emr/), and [AWS Batch](https://aws.amazon.com/batch/), integrate with Spot to reduce overall compute costs without the need to manage the individual instances or fleets. If one of these AWS integrations is not a fit for your workload, or you want to manage the EC2 Spot capacity directly, you should use [Amazon EC2 Auto Scaling groups](https://docs.aws.amazon.com/autoscaling/ec2/userguide/what-is-amazon-ec2-auto-scaling.html). If you are looking for more control over the provisioning of EC2 Spot instances or fleet, you should use [EC2 Fleet](https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/ec2-fleet.html) in instant mode. 
-
-## Estimated workshop length
-
-45-60 minutes
+## Estimated time and cost to run this workshop
+The estimated time for completing the workshop is 45 to 60 minutes. The estimated cost is less than $5.
 
+## Prerequisites
+(Level 200): This is self-paced workshop that requires a basic knowledge of [Amazon EC2](https://aws.amazon.com/ec2/)and [AWS Command Line Interface (CLI)](https://aws.amazon.com/cli).