AWS: High Availability

Course details

Building out a resilient application takes knowledge, effort, and the right toolset. Businesses increasingly turn to cloud-based platforms like Amazon Web Services for access to modern, scalable solutions, including compute, database, and storage options. This course covers basic high availability (HA) concepts as well as practical techniques for setting up a strong and highly available environment for your real-world applications in AWS. Follow along with instructor Sharif Nijim as he explains how to create highly available DNS routes in Route 53; distribute workloads across resources with Amazon Machine Images, the Application and Network Load Balancers, and AWS Auto Scaling; and build out a highly available database with Dynamic DB, RDS, Neptune, and ElastiCache. Plus, learn about the high availability storage options such as S3, Elastic Block Storage (EBS), Elastic File System, and FSx.
Learning objectives
What is high availability?
Designing for failure
Routing with Route 53
Working with Amazon Machine Images
Setting up load balancing
Combining Auto Scaling and load balancing
Creating an RDS database
Creating a highly available graph database
Exploring ElastiCache for Redis and Amazon Keyspaces
Setting up Elastic File System for HA storage

Concepts

0. Introduction

01 - AWS and high availability
02 - What you should know
03 - Command Line Interface (CLI) for Mac
04 - Command Line Interface (CLI) for Windows

1. Foundations of High Availability

05 - Reviewing high-availability concepts
06 - Designing for failure
07 - Understanding fault-tolerant components
08 - Exploring high availability in Route 53
09 - Creating a health check in Route 53
10 - Understanding advanced HA options in Route 53
11 - Understanding Elastic IP addresses

2. Compute Tools for High Availability

12 - Understanding EBS snapshots
13 - Understanding Amazon Machine Images (AMI)
14 - Exploring Amazon Machine Images
15 - Understanding load balancing options
16 - Understanding load balancing features
17 - Creating a target group
18 - Creating an application load balancer
19 - Testing an application load balancer
20 - Understanding Auto Scaling
21 - Creating a launch configuration
22 - Creating a launch template
23 - Creating an Auto Scaling group
24 - Staying alive with Auto Scaling
25 - Understanding scaling policies
26 - Implementing step scaling
27 - Challenge - Scale-in policy
28 - Solution - Scale-in policy
29 - Combining autoscaling and load balancing
30 - Testing autoscaling with load balancing
31 - Decoupling tools

3. Highly Available Database Options

32 - Understanding DynamoDB
33 - Creating a global DynamoDB table
34 - Improving relational database availability
35 - Creating an RDS subnet group
36 - Creating an RDS database
37 - Adding high availability to RDS
38 - Simulating RDS failover
39 - Understanding Amazon Neptune
40 - Creating a highly available graph database
41 - Understanding ElastiCache for Memcached
42 - Challenge - Create ElastiCache subnet
43 - Solution - Create ElastiCache subnet
44 - Creating an ElastiCache Memcached cluster
45 - Explore ElastiCache Memcached
46 - Understanding ElastiCache for Redis
47 - Creating an ElastiCache for Redis cluster
48 - Exploring ElastiCache for Redis
49 - Exploring Amazon Keyspaces

4. Highly Available Storage Options

50 - Understanding S3
51 - Understanding EBS
52 - Understanding Elastic File System
53 - Creating Elastic File System
54 - Exploring Elastic File System
55 - Understanding Amazon FSx

5. Data Protection

56 - Understanding snapshots
57 - Understanding Data Lifecycle Manager
58 - Exploring Data Lifecycle Manager
59 - Exploring Lifecycle Manager artifacts
60 - Cleaning up after Lifecycle Manager
61 - Understanding AWS Backup
62 - Implementing backup vaults
63 - Creating a backup plan
64 - Implementing cross-account protection
65 - Restoring from AWS Backup
66 - Removing Backup artifacts

Conclusion

67 - Next steps

AWS: High Availability

Authors

Sharif Nijim