English | MP4 | AVC 1920×1080 | AAC 48KHz 2ch | 1h 42m | 403 MB
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.
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.
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
Table of Contents
Auto Scaling and Load Balancing in AWS
1 The Course Overview
2 EC2 on Its Own
3 Using Load Balancing Services
4 When Load Balancing Isn’t Enough
5 Auto Scaling Concepts
6 Quick Demo on Auto Scaling
7 What Is CloudWatch
Building Amazon Machine Images
8 What’s an AMI
9 Creating Images
10 Creating Snapshots
11 Updating Images
12 Using the Command-Line Interface (CLI)
13 Planning the Perfect Web Server Image
Implementing ELB Load Balancing
14 ELB Deep Dive
15 Classic Load Balancer
16 Application Load Balancer
17 Network Load Balancer
18 ELB Best Practices
19 Use Case – Designing Load Balancing Services for Failover and Resiliency
Monitoring in the AWS Cloud
20 Introducing CloudWatch
21 CloudWatch Deep Dive
22 CloudWatch Events and Alarms
23 Monitoring and Reacting to CloudWatch Events
24 Monitoring EC2 Instances
25 Monitoring Auto Scaling Groups and Elastic Load Balancer
Auto Scaling
26 Auto Scaling Deep Dive
27 Auto Scaling with Elastic Load Balancer
28 Considering AWS Lambda
29 Auto Scaling with DynamoDB
30 Scaling Concepts with AWS RDS
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