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

Alan Rodrigues

$130.99

Video Nov 2018 1hr 42mins 1st Edition

Alan Rodrigues

$130.99

Video Nov 2018 1hr 42mins 1st Edition

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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.

Who is this book 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. No prior knowledge of monitoring, load balancing services, creating images, and autoscaling is needed. Basic knowledge of AWS cloud services would be useful.

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

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