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Reliability and Resilience on AWS

Author: thaijameupload on 6-12-2018, 21:00, Views: 16

Reliability and Resilience on AWS
$125 | Duration: 1h 42m | Video: h264, 1920x1080 | Audio: AAC, 48kHz, 2 Ch | 399 MB
Genre: eLearning | Language: English | November 30, 2018

Guide to achieve resilience and reliability on AWS

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.

Style and Approach
This course takes a hands-on approach that guides your learning through comprehensive examples and clear and concise explanations. Useful tips and tricks will be included throughout the course to get the audience to be able to build resilient cloud application in on time.

Table of Contents
AUTO SCALING AND LOAD BALANCING IN AWS
BUILDING AMAZON MACHINE IMAGES
IMPLEMENTING ELB LOAD BALANCING
MONITORING IN THE AWS CLOUD
AUTO SCALING

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
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