Reliability and Resilience on AWS

Reliability and Resilience on AWS, available at $39.99, has an average rating of 4.31, with 30 lectures, based on 8 reviews, and has 58 subscribers.

You will learn about Deploy EC2 Auto scaling for web server instances. How to build and maintain EC2 images. Design Application Load Balancing Services that scale across availability zones. Design Cloud Watch alarms to automate the autoscaling of web servers to match demand. Monitor applications and design CloudWatch metrics and alarms for autoscaling Develop plans to use AWS Auto Scaling to manage EC2 instances, Dynamo DB, and Aurora This course is ideal for individuals who are This course is for developers, system administrators, and technical managers who want to know how to scale and maintain applications and cloud services hosted in the public cloud. It is particularly useful for This course is for developers, system administrators, and technical managers who want to know how to scale and maintain applications and cloud services hosted in the public cloud.

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Summary

Title: Reliability and Resilience on AWS

Price: $39.99

Average Rating: 4.31

Number of Lectures: 30

Number of Published Lectures: 30

Number of Curriculum Items: 30

Number of Published Curriculum Objects: 30

Original Price: $109.99

Quality Status: approved

Status: Live

What You Will Learn

Deploy EC2 Auto scaling for web server instances.
How to build and maintain EC2 images.
Design Application Load Balancing Services that scale across availability zones.
Design Cloud Watch alarms to automate the autoscaling of web servers to match demand.
Monitor applications and design CloudWatch metrics and alarms for autoscaling
Develop plans to use AWS Auto Scaling to manage EC2 instances, Dynamo DB, and Aurora

Who Should Attend

This course is for developers, system administrators, and technical managers who want to know how to scale and maintain applications and cloud services hosted in the public cloud.

Target Audiences

This course is for developers, system administrators, and technical managers who want to know how to scale and maintain applications and cloud services hosted in the public cloud.

Cloud services are vulnerable to network and other outages. When your applications are not performing as they should, no one is happy. However, applications can be designed to be resilient and responsive under demand while hosted in the cloud with Cloud hosted applications at AWS.

In this course, you’ll learn how to prepare for potentially devastating interruptions by building your own resilient and reliable applications in the public cloud. You’ll explore the steps to properly host and automatically scale applications hosted in the cloud. You’ll also take a look at load-balancing, backed with autoscaling, driven by the CloudWatch monitoring service producing an automated solution methodology.

By the end of the course, you will be able to achieve application resiliency, autoscaling, and failover with your applications hosted in the Amazon cloud.

About the Author

Alan Rodrigues has been working on software components such as Docker containers and Kubernetes for the last Javascript years. He has extensive experience working on the AWS Platform, currently being certified as an AWS Solution Architect Associate, a SysOps Administrator, and a Developer Associate.

He has seen that organizations are moving towards using containers as part of their microservice architecture. And there is a strong need to have a container orchestration tool in place. Kubernetes is by far the most popular container orchestration solution on the market.

Course Curriculum

Chapter 1: Auto Scaling and Load Balancing in AWS

Lecture 1: The Course Overview

Lecture 2: EC2 on Its Own

Lecture 3: Using Load Balancing Services

Lecture 4: When Load Balancing Isn’t Enough

Lecture 5: Auto Scaling Concepts

Lecture 6: Quick Demo on Auto Scaling

Lecture 7: What Is CloudWatch?

Chapter 2: Building Amazon Machine Images

Lecture 1: What’s an AMI?

Lecture 2: Creating Images

Lecture 3: Creating Snapshots

Lecture 4: Updating Images

Lecture 5: Using the Command-Line Interface (CLI)

Lecture 6: Planning the Perfect Web Server Image

Chapter 3: Implementing ELB Load Balancing

Lecture 1: ELB Deep Dive

Lecture 2: Classic Load Balancer

Lecture 3: Application Load Balancer

Lecture 4: Network Load Balancer

Lecture 5: ELB Best Practices

Lecture 6: Use Case – Designing Load Balancing Services for Failover and Resiliency

Chapter 4: Monitoring in the AWS Cloud

Lecture 1: Introducing CloudWatch

Lecture 2: CloudWatch Deep Dive

Lecture 3: CloudWatch Events and Alarms

Lecture 4: Monitoring and Reacting to CloudWatch Events

Lecture 5: Monitoring EC2 Instances

Lecture 6: Monitoring Auto Scaling Groups and Elastic Load Balancer

Chapter 5: Auto Scaling

Lecture 1: Auto Scaling Deep Dive

Lecture 2: Auto Scaling with Elastic Load Balancer

Lecture 3: Considering AWS Lambda

Lecture 4: Auto Scaling with DynamoDB

Lecture 5: Scaling Concepts with AWS RDS

Instructors

Packt Publishing
Tech Knowledge in Motion

Rating Distribution

1 stars: 0 votes
2 stars: 0 votes
3 stars: 1 votes
4 stars: 4 votes
5 stars: 3 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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