EC2 Core Concepts

Get a detailed knowledge of the core concepts of EC2.

We'll cover the following

Amazon Machine Image (AMI)
- AMI lifecycle
- AMI billing
Instances
- Instance types
- Instance lifecycle

In this lesson, we will go over some core concepts of Elastic Compute Cloud (EC2) such as Amazon Machine Image (AMI), its lifecycle, and billing. Then, we will look at different types of instances offered by EC2 and learn about their use cases.

Amazon Machine Image (AMI)

An Amazon Machine Image is a pre-configured image provided by AWS that contains the necessary information required to launch an instance. AMI serves as a template for the root volume that includes information regarding the operating system, application server, and applications.

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Introduction

AWS Fundamentals

Understanding Cloud Computing Essentials— From Zero to Hero

Identity and Access Management

Securing AWS Resources: Managing Access with IAM

AWS IAM Permission Boundaries

Using AWS IAM Access Analyzer

Compute Services

Understanding AWS Compute Services — From Zero to Hero

Amazon EC2: Elastic Compute Cloud

Working with Instances: An Amazon EC2 Walkthrough

Managing Instance Volumes Using EBS

Networking

Understanding Networking Services in AWS—From Zero to Hero

Controlling VPC Traffic Using Network ACLs

Managing Peer Connections between Amazon Virtual Private Clouds

Accessing AWS Services over AWS PrivateLink Using VPC Endpoints

Monitoring IP Traffic Using VPC Flow Logs

Route 53

Serverless Computing

Getting to Know AWS Lambda

Building and Deploying Serverless Applications with AWS SAM

Developing RESTful Microservices with API Gateway and DynamoDB

Building a WebSocket-Based Chat Application Using API Gateway

Mastering AWS AppSync Lambda Resolvers

Application Integration

Getting Started with Amazon Simple Queue Service (SQS)

Handling Amazon SNS Notifications with AWS Lambda

Build a Fanout Serverless Architecture using SNS, SQS, and Lambda

Decoupling Serverless Applications with Amazon EventBridge

Getting Started with AWS Step Functions

Containers

Getting Started with Amazon ECS

Create an EKS Cluster and Deploy an Application

High Availability and Scalability

Managing Application Traffic Using Elastic Load Balancers

Understanding Auto Scaling Group (ASG) in AWS

Mastering Amazon EC2 Dynamic Scaling Policies

Storage

Understanding AWS Storage Options—From Zero to Hero

Simple Storage Service (S3)

Working with AWS S3 Cross-Region Replication

Resizing Images with S3 Batch Operations and AWS Lambda

Managing Data Access with Amazon S3 Access Points

File Storage and Transfer

Getting Started with Amazon FSx for Windows File Server

Databases

Working with Relational Databases: A Beginner's Guide to AWS RDS

Getting Started with Amazon Aurora Database Engine

Working with NoSQL Databases: A Beginner's Guide to AWS DynamoDB

Exploring Graphs with Amazon Neptune

Getting Started with Amazon Keyspaces

Achieving Ultra-Fast Performance Using Amazon MemoryDB for Redis

Improving Database Performance with Amazon ElastiCache for Redis

Migration and Transfer

Use of AWS Database Migration Service from Aurora MySQL to S3

Security and Compliance

Getting Started with AWS Key Management Service (KMS)

Encrypting S3 Buckets and EBS Volumes Using KMS

Protecting Web Applications Using AWS WAF

Managing Aurora DB Credentials and API Keys Using Secrets Manager

Finding Vulnerabilities on EC2 Instances Using AWS Inspector

Deployment Services

Mastering AWS Deployment Services—From Zero to Hero

CloudFormation

Getting to Know AWS CloudFormation

AWS CloudFormation Updates: Change Sets and Stack Policies

Mastering AWS CloudFormation Helper Scripts

Machine Learning

Understanding Machine Learning Services on AWS—From Zero to Hero

Deploying a Machine Learning Model with Amazon SageMaker

Getting Started with Amazon Fraud Detector

Build an Educative Chatbot with Conversational AI Using AWS Lex

Content Delivery and Optimization

Analytics

Analyzing S3 Data and CloudTrail Logs Using Amazon Athena

Getting Started with Amazon EMR

Getting Started with Amazon Redshift

Building ETL Pipelines on AWS

Create a Data Lake with Lake Formation and Analyze It with Athena