Learning Path: Cloud Computing And App Deployment With Aws

Building and deploying cloud-native applications with AWS

What you'll learn

Learn to add fully-managed user and privilege services in your virtual network

Know how to store a nearly unlimited number of files in a low-cost object store

Learn how to manage traffic with Amazon’s Elastic Load Balancer

Get familiar with utilizing CloudSearch and Elasticsearch services to the maximum level

Explore Lambda functions

Find out how to automate API deployment in stages effortlessly

Learn to manage applications with Elastic BeanStalk

Requirements

Basic knowledge of cloud computing would be helpful.

Description

Are you looking forward to develop or architect applications for AWS? Or do you want to learn how to design and architect cloud solutions? If yes, then go for this Learning Path.
Packt’s Video Learning Path is a series of individual video products put together in a logical and stepwise manner such that each video builds on the skills learned in the video before it.


Amazon Web Services (AWS) is a secure cloud services platform, offering compute power, database storage, content delivery, and other functionality to help businesses scale and grow. Explore how millions of customers are currently leveraging AWS cloud products and solutions to build sophisticated applications with increased flexibility, scalability, and reliability.
AWS can be summarized as:


A Broad IT Infrastructure Platform
This Learning Path begins with an introduction to AWS. You will learn about Elastic Compute Cloud (EC2) that offers you nearly infinite flexible compute power in the cloud. You will see how to compute options provided by EC2 such as database optimized instances, GPU instances, and Simple Storage Service (S3) which enables you to store nearly unlimited number of files in a low-cost object store. Next, you will be introduced to Amazon’s Elastic Load Balancer (ELB) which provides you with a fully managed application load balancing service to manage your traffic. Then, you will learn to write, run, and automatically perform load-balancing of a Node.js based web API that uses all of these fully managed services to build a fully functional, fault-tolerant, and next-generation web scale application. Moving ahead, you will explore different textual search engines and learn how to run code instead of instances. Finally, you will learn about AWS Lambda and understand its functions and how to deploy them effectively.


By the end of this Learning Path, you will have a strong understanding of cloud computing with AWS and will be able to build and deploy applications in the cloud.

About the Author:
James Cross is a big data engineer and certified AWS solutions architect with a passion for data-driven applications. He's spent the last 3 to 5 years helping his clients to design and implement huge-scale, streaming big data platforms, Cloud-based analytics stacks, and serverless architectures. James is an AWS certified solutions architect with several years' experience designing and implementing solutions on this cloud platform. As CTO of Scout Solutions Ltd, he built a fully serverless set of API's and analytics stacks based around Lambda and Redshift.

Paulina Budzon is a certified AWS DevOps – Professional engineer, primarily interested in designing, building and maintaining highly available, scalable and resilient distributed web applications. She had started as a Web Developer and worked with technologies such as PHP, RoR, MySQL, PostgreSQL and MongoDB. She has swiftly progressed her career, gaining wide knowledge of architectural aspects of web application. Thanks to her experience, Paulina offers a unique combination of understanding of both architectural and development sides of software engineering.

Overview

Section 1: AWS Bootcamp - Autoscaling Applications in the Cloud

Lecture 1 The Course Overview

Lecture 2 Installation and Setup

Lecture 3 AWS History and 10,000 Foot Overview

Lecture 4 EC2 Instance Types

Lecture 5 Creating EC2 Instances and Connecting to Them

Lecture 6 Roles and EC2

Lecture 7 EC2 Metadata

Lecture 8 Introduction to the Elastic Load Balancer

Lecture 9 S3 and CloudFront for the First Time

Lecture 10 Creating an S3 Bucket

Lecture 11 S3 Storage Options

Lecture 12 S3 Version Control

Lecture 13 S3 Lifecycling

Lecture 14 CloudFront and When to Use a CDN

Lecture 15 CORS, Bucket Policies, ACLs, and Encryption

Lecture 16 A Simple NodeJS Express App

Lecture 17 Deploying to EC2

Lecture 18 Load Balancing the API

Lecture 19 Autoscaling the API

Section 2: Deploying Cloud-Native AWS components

Lecture 20 The Course Overview

Lecture 21 Getting Familiar with CloudSearch

Lecture 22 A Very Practical Search Example

Lecture 23 (Elastic)Search-as-a-Service

Lecture 24 Let's Talk Trade-Offs

Lecture 25 AWS Lambda – Why and Why Not?

Lecture 26 Deep Dive into AWS Lambda

Lecture 27 Deploying Lambda Functions

Lecture 28 Step-by-Step – Step Functions

Lecture 29 API Gateway – Up and Running

Lecture 30 Deploying API Gateway with Stages (Or Not)

Lecture 31 Automated API Deployment

Lecture 32 Things You Didn't Know API Gateway Can Do

Lecture 33 Bringing Your Chef Recipes to AWS

Lecture 34 Magical Beans– What is Elastic Beanstalk Useful for?

Lecture 35 CodeX – Commit, Build, Deploy, and Pipeline!

Lecture 36 Operations-Not-as-a-Service

Lecture 37 Smart Computers

Lecture 38 Turning Pictures into Words

Lecture 39 Turning Words into Speech

This Learning Path is for application developers and architects who want to develop or architecting applications for Amazon Web Services, and system administrators interested in supporting the migration of applications to AWS. This Learning Path is also for cloud solutions architects, design engineer, or IT professionals who design and architect cloud solutions.