1. IAM manages identities and access control for AWS resources by controlling authentication and authorization. It uses users, groups, roles, and access policies. 2. EC2 allows users to launch virtual servers and configure security, networking, and storage. Elastic Block Store provides block-level storage volumes for applications. Elastic Load Balancing distributes traffic across targets. Auto Scaling automatically adjusts capacity based on performance. 3. Database services include RDS for relational databases, DynamoDB for NoSQL, S3 for object storage, and Aurora which is compatible with MySQL and PostgreSQL.

1. Amazon Web Services
1) IAM(IDENTITY ANDACCESS
MANAGEMENT)
IAM can be defined by its ability to manage, control and govern authentication,
authorisation and access control mechanism of identities to your resources within
your AWS Account.
The main concepts in IAM are:
● Users
● Groups
● Roles
● Access Policies
2) EC2(ElasticCloudCompute)
EC2 (Elastic Cloud Compute) allows you to launch as many or as few virtual
servers as you need, configure security and networking, and manage storage. Amazon
EC2 enables you to scale up or down to handle changes in requirements or spikes in
popularity, reducing your need to forecast traffic.

2. ⮚Conceptsandterms
The EC2 service can be broken down into the following components:
● AMIs,
● Instance types,
● tenancy,
● user data,
● storage options
● security,
● instance purchasing options.
❖ EBS(ElasticBlockstore)
Amazon Elastic Block Store provides block-level storage volumes. These storage
volumes are created and managed from the web service's dashboard and can be used
to backup your application data and store your logs. By providing storage volumes for
your applications, you can create a controlled, low-cost way to backup your application
data and store your application logs in the cloud. You can also use the Elastic Block
Store as a way to automatically rotate your application data to prevent data loss in the
case of a hard or software failure.

3. ❖ ElasticLoadBalancing(Application
andNetwork)
Elastic Load Balancing is a best practice to assign incoming traffic to a single target,
such as an EC2 Instance, and then distribute the rest of the traffic across the target's
resources. An elastic load balancer distributes traffic across an arbitrary number of
targets.
❖ Autoscaling
AWS Auto Scaling monitors your applications and automatically adjusts capacity to
maintain steady, predictable performance at the lowest possible cost.
The services within the AWS Auto Scaling family include:
● Amazon EC2 (known as Amazon EC2 Auto Scaling).
● Amazon ECS.
● Amazon DynamoDB.
● Amazon Aurora.

4. 3) Database
❖ RDS(RELATIONALDATABASESERVICE)
Amazon Relational Database Service is a distributed relational database service by
Amazon Web Services. It is a web service running "in the cloud" designed to simplify
the setup, operation, and scaling of a relational database for use in applications.

5. ❖ DynamoDB
Amazon DynamoDB is a fully managed, serverless, key-value NoSQL database
designed to run high-performance applications at any scale. DynamoDB offers
built-in security, continuous backups, automated multi-Region replication, in-memory
caching, and data import and export tools.
❖ S3
Amazon Simple Storage Service (Amazon S3) is an object storage service that offers
industry-leading scalability, data availability, security, and performance. You can
use Amazon S3 to store and retrieve any amount of data at any time, from anywhere.

6. ❖ Aurora
Amazon Aurora is a relational database management system (RDBMS) built for the
cloud with full MySQL and PostgreSQL compatibility. Aurora gives you the
performance and availability of commercial-grade databases at one-tenth the cost.
4) RoutingMechanism
❖ ROUTE53
Amazon Route 53 is a highly available and scalable Domain Name System (DNS) web
service. Route 53 connects user requests to internet applications running on AWS
or on-premises.

7. 5) Networking
❖ VPC
Amazon Virtual Private Cloud (Amazon VPC) enables you to launch AWS resources
into a virtual network that you've defined. This virtual network closely resembles a
traditional network that you'd operate in your own data center, with the benefits of using
the scalable infrastructure of AWS.
6) QuickDeployment–Serverless
❖ BEANSTALK
AWS Elastic Beanstalk automates the details of capacity provisioning, load
balancing, auto scaling, and application deployment, creating an environment
that runs a version of your application. You can simply upload your deployable code
(e.g., WAR file), and AWS Elastic Beanstalk does the rest.

8. 7) LambdaFunction
AWSLambdaallowsyoutoaddcustomlogictoAWSresourcessuchas
AmazonS3bucketsandAmazonDynamoDBtables,soyoucaneasilyapply
computetodataasitentersormovesthroughthecloud.Itiseasytoget
startedwithAWSLambda.

9. 8) Data Stream
❖ SQS
Amazon Simple Queue Service (SQS) lets you send, store, and receive messages
between software components at any volume, without losing messages or
requiring other services to be available.
❖ SNS
Amazon SNS allows applications to send time-critical messages to multiple
subscribers through a “push” mechanism, eliminating the need to periodically
check or “poll” for updates.

10. ❖ KINESIS
Kinesis enables one to get timely insights by collecting, processing, and analyzing
real-time, streaming data.
● AMAZON KINESIS DATA STREAMS
● AMAZON KINESIS DATA FIREHOUSE
● AMAZON KINESIS DATA ANALYTICS

11. 9) CodingPackaging
❖ ECS(ELASTICCONTAINERSERVICE)
A scalable, secure, and highly efficient way to run containers.
❖ EKS(AmazonElasticKubernetes
Service)
Amazon Elastic Kubernetes Service (Amazon EKS) is a managed Kubernetes service
that makes it easy for you to run Kubernetes on AWS and on-premises.
Kubernetes is an open-source system for automating deployment, scaling, and
management of containerized applications.

12. ❖ FARGATE
AWS Fargate is a serverless, pay-as-you-go compute engine that lets you focus on
building applications without managing servers. AWS Fargate is compatible with
both Amazon Elastic Container Service (ECS) and Amazon Elastic Kubernetes Service
(EKS).
10)Monitoring
❖ CloudWatch
CloudWatch enables you to monitor your complete stack (applications, infrastructure,
network, and services) and use alarms, logs, and events data to take automated actions
and reduce mean time to resolution (MTTR). This frees up important resources and
allows you to focus on building applications and business value.

13. 11)APImonitoring
❖ CLOUDTRAIL
You can use CloudTrail to view, search, download, archive, analyze, and respond to
account activity across your AWS infrastructure. You can identify who or what took
which action, what resources were acted upon, when the event occurred, and other
details to help you analyze and respond to activity in your AWS account.
12)Encryption
❖ KMS
AWS Key Management Service (KMS) gives you centralized control over the
cryptographic keys used to protect your data. The service is integrated with other
AWS services making it easier to encrypt data you store in these services and control
access to the keys that decrypt it.

14. 13)API(ApplicationProgramming
Interface)
API stands for Application Programming Interface. In the context of APIs, the word
Application refers to any software with a distinct function. Interface can be thought of as
a contract of service between two applications. This contract defines how the two
communicate with each other using requests and responses.