Overview
The initial patterns will cover some basic processes such as maintaining and storing backups as well as handling redundancy. The class will then take you through patterns of high availability. Following this, the course will discuss patterns for processing static and dynamic data and patterns for uploading data. Then the class will then dive into patterns for databases and data processing. Finally, you will get to learn about advanced patterns on operations and networking and also get acquainted with Throw-away Environments.
Audience
This course is for anyone who will be architecting solutions on AWS. Specifically this class is for individuals interested in tasks such as creating and maintaining backups; implementing scaling policies on schedules, influxes in traffic, and deep health checks; provisioning servers and data storage; optimize databases through caching and sharding; and monitoring and queuing data for processing.
Prerequisites
Learners should have taken the `
AWS Technical Essentials ![]()
class (or have had acquired similar knowledge) before attending this course. Students should also have an understanding of system administration concepts, enterprise servers, networking and general database management familiarity
Certification Options
This class, when combined with `
AWS Technical Essentials ![]()
class, will provide a strong foundation in preparation for the AWS Certified Solutions Architect—Associate certification exam.
COURSE OUTLINE
1: INTRODUCTION
Introduction to AWS
Cloud computing service models
Benefits of moving to the Cloud
Common problems encountered at AWS
2: BASIC PATTERNS
Introducing Vagrant
Snapshot pattern
Stamp pattern
Scale up pattern
Scale out pattern
On-demand disk pattern
3: PATTERNS FOR HIGH AVAILABILITY
Multi-server pattern
Multi-data center pattern
Floating IP pattern
Deep health check pattern
4: PATTERNS FOR PROCESSING STATIC DATA
High availability storage
Direct storage hosting
Private data delivery
Content delivery networks
Rename distribution pattern
5: PATTERNS FOR PROCESSING DYNAMIC DATA
Clone server pattern
NFS sharing pattern
State sharing pattern
URL rewriting pattern
Cache proxy pattern
6: PATTERNS FOR UPLOADING DATA
Write proxy pattern
Storage index pattern
Direct object upload pattern
7: PATTERNS FOR DATABASES
Database replication pattern
Read replica pattern
In-memory cache pattern
Sharding write pattern
8: PATTERNS FOR DATA PROCESSING
Queuing chain pattern
Priority queue pattern
Job observer pattern
9: PATTERNS FOR OPERATION AND MAINTENANCE
Bootstrap pattern
Cloud dependency injection pattern
Stack deployment pattern
Monitoring integration pattern
Web storage archive pattern
Weighted transition pattern
Hybrid backup pattern
10: PATTERNS FOR NETWORKING
OnDemand NAT pattern
Management network pattern
Functional firewall pattern
Operational firewall pattern
Web application firewall pattern
Multiple load balancer pattern
11: THROW-AWAY ENVIRONMENTS
Infrastructure as code
Temporary development environments
Continuous integration
