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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.


Lesson objectives help students become comfortable with the course, and also provide a means to evaluate learning. Upon successful completion of this course, students will be able to: · Make architectural decisions based on the AWS recommended architectural principles and best practices · Demonstrate basic knowledge of security best practices when using AWS · Create a cloud migration roadmap and a plan · Leverage AWS services to make your servers scalable · Create a business continuity plan and achieve High Availability


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


Standard and Professional Desktop Application & Professional Development classes may be cancelled or rescheduled by the client at least four (4) business days in advance without penalty. A full credit (no refunds) will be applied to future training on all cancelled classes that meet the above-stated criteria. A cancellation fee equal to the course fee will be incurred if a student provides less than 4 days’ notice for any Standard or Professional Desktop Applications, or Professional Development Skills class cancellations. Technical courses or Private classes may be cancelled or rescheduled (no refunds) greater than two weeks in advance without charge. The client is responsible for 50% of the class fee if a technical or private class is canceled or rescheduled within two weeks of the class date, and full price if the course is canceled or rescheduled within one week of the class date.

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