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 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 the AWS 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
