AWS Bootcamp - Autoscaling Applications in the Cloud
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AWS Bootcamp - Autoscaling Applications in the Cloud

Build secure and sophisticated applications with AWS Bootcamp
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0.0 (0 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
0 students enrolled
Created by Packt Publishing
Last updated 7/2017
English
Current price: $10 Original price: $125 Discount: 92% off
5 hours left at this price!
30-Day Money-Back Guarantee
Includes:
  • 2.5 hours on-demand video
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
What Will I Learn?
  • Add fully-managed user information and privilege services on your virtual network
  • Store a nearly unlimited number of files in a low-cost object store
  • Manage traffic with Amazon's Elastic Load Balancer
  • Create EC2 instances
  • Balance your simple API
View Curriculum
Requirements
  • You will require a Windows, Mac or Linux computer with access to the terminal or command line. If you wish to run programming examples, they are in NodeJS 6. In this case you will also need a working installation of NodeJS 6, as well as the Python dependency tool NPM.
  • What versions of software should the customer use?: NodeJS 6
  • Any special hardware needed?: None
  • Can you point to instruction to install anything that we will need to install? (Can be websites, other videos, written instructions): Included in the setup video
  • Anything that you would like the customers to watch out for like a precautionary measure or a tip?: Make sure you have working internet access, with ports 22, 80 and 443 open.
  • How are the Exercise Files laid out? Code Samples/ Starting State of the Examples/ Finished State of the Examples/ Finished State per video/ Finished State per Chapter/ Finished State per course A mixture - this isn't a programming course so code examples serve just to illustrate AWS functionality. Some examples are coded live, and others are completed examples that are just explained.
  • What level user would be best served by this course? For example: "Beginner Django User but Advanced Web Designer
  • Working knowledge of a high level programming language such as Java or Python is assumed, along with some basic knowledge of networking, like IP addresses and ports. No knowledge of cloud computing is expected or assumed.
Description

This video course will show you how to get started with some of the powerful and exciting core technologies available on AWS, including Identity Access Management (IAM), enabling you to fully manage user information and privilege service on your virtual network environment.

This video will teach you Elastic Compute Cloud (EC2), offering you nearly infinite flexible compute power in the cloud, with bespoke virtualized, compute options including database optimized instances, GPU instances, and FPGA instances, and Simple Storage Service (S3), allowing you to store a nearly unlimited number of files in a low-cost object store. Amazon's Elastic Load Balancer (ELB) gives you a fully managed application load balancing service, similar to NGINX and HAPROXY, but fine-tuned for the Amazon environment allowing you to manage your traffic. The course will end by your writing, running, and automatically load-balancing a Node.JS-based web API, making use of all of these fully managed services and resulting in a fully functionally, fault–tolerant, next-generation web scale application.

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 3-5 years helping his clients to design and implement huge-scale, streaming big data platforms, Cloud-based analytics stacks, and serverless architectures.

He started his professional career in Investment Banking, working with well-established technologies such as Java and SQL Server, before moving into the big data space. Since then he's worked with a huge range of Big Data tools including most of the Hadoop eco-system, Spark, and many No-SQL technologies such as Cassandra, MongoDB, Redis, and DynamoDB. More recently his focus has been on Cloud technologies and how they can be applied to data analytics, culminating in his work at Scout Solutions as CTO, and more recently with Mckinsey.

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.

He is interested in almost anything that has to do with technology. He has worked with everything from WordPress to Hadoop, from C++ to Java, and from Oracle to DynamoDB. If it's new and solves a problem in an innovative way he's keen to give it a go!

Who is the target audience?
  • Application developers and architects looking to start developing or architecting applications for Amazon Web Services, and system administrators interested in supporting the migration of applications to AWS.
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Curriculum For This Course
19 Lectures
02:17:48
+
Introduction to AWS
3 Lectures 29:59

This video provides an overview of the entire course.

Preview 07:33

In this section, we’ll show our audience how to register for and sign into their AWS account as well as install some basic NodeJS development tooling (Sublime text and the NodeJS command-line package), which will be required later in the course.

Installation and Setup
04:11

An introduction to the history of AWS and a high level glance at its core architectural principles and the services on offer.

AWS History and 10,000 Foot Overview
18:15
+
Virtual Elastic Computing with EC2
5 Lectures 41:40

A comparison of the different EC2 instance types available, and examples of when to use them.

Preview 10:38

A tutorial on how to create EC2 instances and connect to them.

Creating EC2 Instances and Connecting to Them
10:44

An introduction to roles and their importance in the context of working with EC2.

Roles and EC2
11:13

Understanding EC2 metadata and how to use it in your application.       

EC2 Metadata
02:57

An introduction to the Amazon Elastic Load Balancer (ELB) and how to configure it.

Introduction to the Elastic Load Balancer
06:08
+
Storage and Content Delivery in the Cloud with S3 and CloudFront
7 Lectures 38:52

An introduction to storage and content delivery on AWS with an overview of S3 and CloudFront.

Preview 07:33

How to create your first S3 bucket using the console and upload some data to it.

Creating an S3 Bucket
03:14

An overview of the different storage options available on S3 and their implications.

S3 Storage Options
05:06

How to apply version control to objects in S3, how to leverage it, and when you might want to use it.

S3 Version Control
03:12

Understanding how to apply lifecycling policies to Amazon S3 buckets in order to automatically transition objects between the available storage tiers.

S3 Lifecycling
04:56

A more detailed overview of CloudFront along with a hands-on example of how to set up your own CDN distribution.

CloudFront and When to Use a CDN
10:18

An overview of some more advanced S3 features such as CORS, Bucket Policies, ACLs, and Encryption.

CORS, Bucket Policies, ACLs, and Encryption
04:33
+
A Simple Autoscaling Application
4 Lectures 27:17

An overview of a very simple NodeJS express app that presents a simple REST API and reads a files contents from S3.

Preview 04:13

How to wrap our application with a Dockerfile and deploy it to EC2?

Deploying to EC2
07:36

A hands-on example of how to add an Elastic Load Balancer in front of our API.

Load Balancing the API
03:58

Autoscaling our API automatically across multiple instances in multiple data centers.

Autoscaling the API
11:30
About the Instructor
Packt Publishing
3.9 Average rating
8,175 Reviews
58,819 Students
687 Courses
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