Amazon Web Services

Mode of Training: Online, Classroom, Corporate

Faculty: Mr. KHAJA (Sr. Technical Architect)

Course Duration: 45 Days

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ARCHITECTURE & ADMINISTRATION:

1. Amazon Simple Storage Service (Amazon S3) and Amazon Glacier Storage

Introduction

Object Storage versus Traditional Block and File Storage

Amazon Simple Storage Service (Amazon S3) Basics

Buckets

AWS Regions

Objects

Keys

Object URL

Amazon S3 Operations

REST Interface

Durability and Availability

Data Consistency

Access Control

Static Website Hosting

Amazon S3 Advanced Features

Prefixes and Delimiters

Storage Classes

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Object Lifecycle Management

Encryption

Versioning

MFA Delete

Pre-Signed URLs

Multipart Upload

Range GETs

Cross-Region Replication

Logging

Event Notifications

Best Practices, Patterns, and Performance

Amazon Glacier

Archives

Vaults

Vaults Locks

Data Retrieval

Amazon Glacier versus Amazon Simple Storage Service (Amazon S3)

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2. Amazon Elastic Compute Cloud (Amazon EC2) and Amazon Elastic Block Store

(Amazon EBS)

Amazon Elastic Compute Cloud (Amazon EC2)

Compute Basics

Securely Using an Instance

The Lifecycle of Instances

Options

Instance Stores

Amazon Elastic Block Store (Amazon EBS)

Elastic Block Store Basics

Types of Amazon EBS Volumes

Protecting Data

3. Amazon Virtual Private Cloud (Amazon VPC)

Amazon Virtual Private Cloud (Amazon VPC)

Subnets

Route Tables

Internet Gateways

Dynamic Host Configuration Protocol (DHCP) Option Sets

Elastic IP Addresses (EIPs)

Elastic Network Interfaces (ENIs)

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4

Endpoints

Peering

Security Groups

Network Access Control Lists (ACLs)

Network Address Translation (NAT) Instances and NAT Gateways

NAT Instance

NAT Gateway

Virtual Private Gateways (VPGs), Customer Gateways (CGWs), and Virtual Private

Networks (VPNs)

4. Elastic Load Balancing, Amazon Cloud Watch, and Auto Scaling

Elastic Load Balancing

Types of Load Balancers

Listeners

Configuring Elastic Load Balancing

Amazon Cloud Watch

Auto Scaling

Auto Scaling Plans

Auto Scaling Components

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5. AWS Identity and Access Management (IAM)

Principals

Root User

IAM Users

Roles/Temporary Security Tokens

Authentication

Authorization

Policies

Associating Policies with Principals

Other Key Features

Multi-Factor Authentication (MFA)

Rotating Keys

Resolving Multiple Permissions

6. Databases and AWS

Database Primer

Relational Databases

Data Warehouses

NoSQL Databases

Amazon Relational Database Service (Amazon RDS)

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Database (DB) Instances

Operational Benefits

Database Engines

Storage Options

Backup and Recovery

High Availability with Multi-AZ

Scaling Up and Out

Security

Amazon Redshift

Clusters and Nodes

Table Design

Loading Data

Querying Data

Snapshots

Security

Amazon Dynamo DB

Data Model

Writing and Reading Data

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Scaling and Partitioning

Security

Amazon Dynamo DB Streams

7. SQS, SWF, and SNS

Amazon Simple Queue Service (Amazon SQS)

Message Lifecycle

Delay Queues and Visibility Timeouts

Queue Operations, Unique IDs, and Metadata

Queue and Message Identifiers

Message Attributes

Long Polling

Dead Letter Queues

Access Control

Amazon Simple Workflow Service (Amazon SWF)

Workflows

Actors

Tasks

Task Lists

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Long Polling

Object Identifiers

Workflow Execution Closure

Lifecycle of a Workflow Execution

Amazon Simple Notification Service (Amazon SNS)

Common Amazon SNS Scenarios

8. Domain Name System (DNS) and Amazon Route 53

Domain Name System (DNS)

Domain Name System (DNS) Concepts

Steps Involved in Domain Name System (DNS) Resolution

Record Types

Amazon Route 53 Overview

Domain Registration

Domain Name System (DNS) Service

Hosted Zones

Supported Record Types

Amazon Route 53 Enables Resiliency

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9. Amazon Elastic Cache

In-Memory Caching

Amazon Elastic Cache

Data Access Patterns

Cache Engines

Nodes and Clusters

Me cached Auto Discovery

Scaling

Replication and Multi-AZ

Backup and Recovery

Access Control

Introduction

CLOUD DEVOPS

1. DevOps on AWS

Terraform (D)

Packer (D)

Cloud formation

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Shell Scripting (D)

Code Build (D)

Code Deploy(D)

Code Pipeline (D)

Continuous Integration Using Jenkins(D)

2. Monitoring Solutions

Nagios (D)

ELK (D)

3. Containers

Docker (D)

Kubernetes (D)

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