Dr.Rajapraveen.k.n

1. By
Dr.Rajapraveen.k.N

2.  What is a compute?
 “Compute means to calculate, either literally or
pictorial representation.”
 “Computers do the math for you, faster than
humans ever can. “
 “You'll often hear someone say that something
"does not compute." This means it doesn't add
up, it doesn't make sense”.

3.  What are compute services?
 “The Compute service is a cloud computing
fabric controller, which is the main part of an
Infrastructure as a Service (IaaS) system. “
 “You can use Open Stack Compute to host and
manage cloud computing systems.”

4.  What are the AWS compute services?
 Amazon Elastic Compute Cloud (EC2) Secure and
resizable compute capacity in the cloud.
 Amazon EC2 Spot.
 Amazon EC2 Auto Scaling.
 Amazon Lightsail.
 AWS Batch.
 Amazon Elastic Container Service (ECS)
 Amazon Elastic Container Registry (ECR)
 Amazon Elastic Kubernetes Service (EKS)

5.  In traditional data centers compute is
available as various servers on which we
could install any operating system or
applications of our choice.

6.  Compute resources are the brain of any
infrastructure.
 Just like without brain body cannot function.

7.  Similarly you need to compute to process the
data in any meaningful way.

8.  Compute Capacity
 Compute capacity is majorly in terms of no.of
cores and amount of memory available for
storing transient data.

9.  AWS Options.
 AWS provides various options for selecting rite
combinations of processing capacity and memory
for small to large work loads

10.  The major benefits of cloud id that you can
scale your computer capacity UP & DOWN,
based on the traffic.
 This helps optimize cost.

11.  AWS offers Broadest Choices for compute
platforms.
 Elastic compute clode-EC2
 Is a core compute platform upon which platform’s are
built.
 EC2 allows us to create compute environment called
instances which provides virtualized access to
underlying host machine.

12.  It runs flexibility to various operating
systems such as Linux, windows and MAC OS.
 You would use EC2 for workloads, where you
want maximum control of the environment
and how it is configured

13.  LAMBDA is surveillance computing platform.
 Using LAMBDA infrastructure we can run code
with provisioning or managing servers.
 All we need to do is upload the code.
 LAMBDA run time will take care of running it
scalable way.

14.  You would LAMBDA, when all wants to run
your code without worrying about underlying
infrastructure provisions.

15.  AWS Batch:
 Is designed to provide configure capacity for
schedule batch job processing.
 It relays on EC2 for its underlying computing
resources.
 You would use AWS batch if your workload
required long run
batch processing such
as generating reports.

16.  Elastic Beanstalks.
 it is simple way to run your web application
 It automates lots of infrastructure setup’s such as
 Auto scaling
 Load balancing
 Application health monitoring
 Patching of underlying resources

17.  Elastic Beanstalks.
 You would use elastic beanstalks when you want
quickly setup and run your application, which is
written in JAVA, dot.NET,php,node JS,python,go
and Dockers.
 In familiar servers such as
 Apache
 Tomcat
 Iis
 Passenger
 Nginx

18.  Amazon lightsail
 Resembles traditional hosting servers
 Based on fixed monthly plans
 Depending on computing resources
 CPU/MEMORY combination=$*/month
 Lightsail used for simple work loads
 Word press
 LAMP
 MEAN Stacks

19.  Elestic container services-ECS
 Elestic Kurbernetes servie- EKS
 Both are highly scalable
 DOCKER
 CONTAINER
 Which utilize EC2 resources as underlying compute
resources

20.  AWS FARGATE
 Server less version of ECS & EKS workload
 AWS for gate removes the needs to provision and
manage underlying EC2 instances.