chapter 1

Question 1

How does AWS having large and geographically dispersed infrastructure improve service quality?

Answer 1

The high salability and redundancy offered by the geographic compute and networking resources guarantee a high level of reliability and availability.

Question 2

How does metered, pay-per-use pricing makes for flexible compute options?

Answer 2

The on-demand, pay-per-use availability of the cloud infrastructure allow you to easy use sandboxes, experiment, and asses along with update application stacks.

Question 3

What are the forms of cloud services?

Answer 3

IaaS - gives you near-full control over virtualized hardware resources,
PaaS - providing a simplified interface for you to add your application code.
SaaS - provide services over a public network directly to end users.
FaaS - allowing customers to develop, run, and manage application functionalities without the complexity of building and maintaining the infrastructure typically associated with developing and launching an app

Question 4

How can serverless computing can be both cheap and efficient?

Answer 4

The ability to operate code in response to real-time event triggers.
For example, AWS Lambda allows you access to AWS compute power for up to 15 minutes for a single function.

Question 5

How does scalability work with AWS?

Answer 5

Allows resources to grow and meet needs; automated provisioning of server instances that are designed from scratch to perform a needed compute function within an appropriate network environment.

Question 6

How does elasticity matches compute power?

Answer 6

Can match resources to rising and falling demand; have the ability to set the upper and lower limits, and the scaler handles the startups and shutdowns to optimize operations in between those limits.
For example, with AWS Auto Scaling you can make configurations to force compliance with your budget and application needs.