Other Compute Section

Question 1

ECS

Answer 1

• Launch Docker containers on AWS
• You must provision & maintain the infrastructure (the EC2 instances)
• AWS takes care of starting / stopping containers
• Has integrations with the Application Load Balancer

Question 2

Fargate

Answer 2

• Launch Docker containers on AWS
• You do not provision the infrastructure (no EC2 instances to manage)
• Serverless offering
• AWS just runs containers for you based on the CPU / RAM you need

Question 3

ECR

Answer 3

• Private Docker Registry on AWS

* This is where you store your Docker images so they can be run by ECS or Fargate

Question 4

EC2 VS Lambda

Answer 4

EC2

• Virtual Servers in the Cloud
• Limited by RAM and CPU
• Continuously running
• Scaling means intervention to add / remove servers

Amazon Lambda
• Virtual functions – no servers to manage!
• Limited by time - short executions
• Run on-demand
• Scaling is automated!

Question 5

Lambda Benefits

Answer 5

Easy Pricing:
• Pay per request and compute time
• Free tier of 1,000,000 AWS Lambda requests and 400,000 GBs of compute time

• Integrated with the whole AWS suite of services
• Event-Driven: functions get invoked by AWS when needed
• Integrated with many programming languages
• Easy monitoring through AWS CloudWatch
• Easy to get more resources per functions (up to 10GB of RAM!)
• Increasing RAM will also improve CPU and network

Question 6

Lambda Container Image

Answer 6

• The container image must implement the Lambda Runtime API

* ECS / Fargate is preferred for running arbitrary Docker images

Question 7

Amazon API Gateway

Answer 7

• Fully managed service for developers to easily create, publish, maintain,
monitor, and secure APIs
• Serverless and scalable
• Supports RESTful APIs and WebSocket APIs
• Support for security, user authentication, API throttling, API keys, monitoring

Question 8

AWS Batch

Answer 8

• Fully managed batch processing at any scale (job with a start and an end)
• Batch will dynamically launch EC2 instances or Spot Instances
• AWS Batch provisions the right amount of compute / memory
• You submit or schedule batch jobs and AWS Batch does the rest!
• Batch jobs are defined as Docker images and run on ECS

Question 9

AWS Lightsail

Answer 9

• Virtual servers, storage, databases, and networking
• Low & predictable pricing
• Great for people with little cloud experience!