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Reliability and Resilience on AWS [Video]

Reliability and Resilience on AWS: A crash course on achieving application reliability and resilience on AWS [Video]

By Alan Rodrigues
£100.99
Video Nov 2018 1 hours 42 minutes 1st Edition
Video
£100.99
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£13.99 Monthly
Video
£100.99
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£13.99 Monthly

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Product Details

Publication date : Nov 30, 2018
Length 1 hours 42 minutes
Edition : 1st Edition
Language : English
ISBN-13 : 9781789611700
Vendor :
Amazon
Category :
Cloud & Networking
Concepts :
Cloud Computing
Tools :
AWS (Intermediate)
toc View table of contents

Key benefits

  • ? Design scalable, available & resilient cloud applications in no time
  • ? Achieve application resiliency with automated scaling by utilizing AWS EC2 Autoscale, Load-balancing, and CloudWatch monitoring services.
  • ? Build cloud applications that can be designed to scale and failover automatically

Description

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.

What you will learn

1. Deploy EC2 Auto scaling for web server instances. 2. How to build and maintain EC2 images. 3. Design Application Load Balancing Services that scale across availability zones. 4. Design Cloud Watch alarms to automate the autoscaling of web servers to match demand. 5. Monitor applications and design CloudWatch metrics and alarms for autoscaling 6. Develop plans to use AWS Auto Scaling to manage EC2 instances, Dynamo DB, and Aurora

What do you get with a video?

Feature icon Download this video in MP4 format
Feature icon Access this title in our online reader with advanced features
Feature icon DRM FREE - Read whenever, wherever and however you want
Buy Now

Product Details

Publication date : Nov 30, 2018
Length 1 hours 42 minutes
Edition : 1st Edition
Language : English
ISBN-13 : 9781789611700
Vendor :
Amazon
Category :
Cloud & Networking
Concepts :
Cloud Computing
Tools :
AWS (Intermediate)

Table of Contents

5 Chapters
Auto Scaling and Load Balancing in AWS Packt Packt
The Course Overview
EC2 on Its Own
Using Load Balancing Services
When Load Balancing Isn’t Enough
Auto Scaling Concepts
Quick Demo on Auto Scaling
What Is CloudWatch?
Building Amazon Machine Images Packt Packt
What’s an AMI?
Creating Images
Creating Snapshots
Updating Images
Using the Command-Line Interface (CLI)
Planning the Perfect Web Server Image
Implementing ELB Load Balancing Packt Packt
ELB Deep Dive
Classic Load Balancer
Application Load Balancer
Network Load Balancer
ELB Best Practices
Use Case – Designing Load Balancing Services for Failover and Resiliency
Monitoring in the AWS Cloud Packt Packt
Introducing CloudWatch
CloudWatch Deep Dive
CloudWatch Events and Alarms
Monitoring and Reacting to CloudWatch Events
Monitoring EC2 Instances
Monitoring Auto Scaling Groups and Elastic Load Balancer
Auto Scaling Packt Packt
Auto Scaling Deep Dive
Auto Scaling with Elastic Load Balancer
Considering AWS Lambda
Auto Scaling with DynamoDB
Scaling Concepts with AWS RDS

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Authors (1)

Profile Alan Rodrigues
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.
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