Module 1 - Intro to AWS

• Client Server Model

  • Server is an app on EC2 (an instance)

  • client ie browser

  • Server ie app running on computer

    • a services like Amazon Elastic Compute Cloud (Amazon EC2)

  • client makes requests to server

    • The server evaluates requests, and fulfils it and sends response back to client

• Only pay for what you use (AWS key value)

  • For increased load -> increase EC2 instances to handle load

  • For decreased load -> decrease EC2 instances

  • Done manually or via rules which add/remove instances automatically

• Cloud computing

  • DEFN - The on demand delivery of IT resources over the internet with a PAYG pricing

    • on demand delivery -> AWS has the resources you need when needed, without telling them

    • IT resources -> like databases, memory etc

      • How you provision the resources does nto matter

      • What is on them (data), how it is structured, how its used does differentiate your buisness

      • Undifferentiated heavy lifting of IT - AWS helps with this part

  • Deployment models

    • Cloud based

      • Run all parts of the application in the cloud.

      • Migrate existing applications to the cloud.

      • Design and build new applications in the cloud.

      • Can build on low level infrastructure that your IT staff maanges or use high level services that reduce management/architecting/scaling requirements

    • On Premises (private cloud deployment)

      • Deploy resources by using virtualization and resource management tools.

      • Increase resource utilization by using application management and virtualization technologies.

      • Resoources deployed on premises by using virtualization (docker) and resource management (K8s)

      • Similar to legacy IT, but tech used increases resource utilization

    • Hybrid

      • Connect cloud-based resources to on-premises infrastructure.

      • Integrate cloud-based resources with legacy IT applications.

      • Example: Connecting legacy app on site due regulations or better maintained, can pass off parts of the service to the cloud

  • Benefits of Cloud

    • Trade upfrount expense for variable expense

      • Instead of buying resources upfront (ie data centers, physical servers) before using them -> upfront expense

      • Variable expense -> only pay for computing resources you consume

      • implement solutions while saving on costs

    • Stop spending money to run and maintain data centers

      • Allows you focus on the applications and customers

      • AWS handles this

    • Stop guessing capacity

      • Dont predict how much resources are needed

      • scale only in response to demand, rather than scaling earlier and over spending on extra unused resources

    • Massive economies of scale

      • reduce costs of buy resources on own

      • costs are cheaper, as more resources are bought in bulk at cheaper rates

    • Increase speed and agiilty

      • Easier to develop and deploy apps

      • Increase time to experiment and innovate

      • Dont have to wait for time to procure

    • Go global in minutes

      • Due to reach of AWS, app is deployed globally to customers with low latency

• Links

  • https://aws.amazon.com/getting-started/cloud-essentials/

  • https://d0.awsstatic.com/whitepapers/aws-overview.pdf