Course Description
The AWS exam guide outlines that 60% of the Solutions Architect–Associate exam questions could be on the topic of designing highly-available, fault-tolerant, cost-efficient, scalable systems. This course teaches you to recognize and explain the core architecture principles of high availability, fault tolerance, and cost optimization. We then step through the core AWS components that can enable highly available solutions when used together so you can recognize and explain how to design and monitor highly available, cost efficient, fault tolerant, scalable systems.
Course Objectives
- Identify and recognize cloud architecture considerations such as functional components and effective designs
- Define best practices for planning, designing, and monitoring in the cloud
- Develop to client specifications, including pricing and cost
- Evaluate architectural trade-off decisions when building for the cloud
- Apply best practices for elasticity and scalability concepts to your builds
- Integrate with existing development environments
Intended Audience
This course is for anyone preparing for the Solutions Architect–Associate for AWS certification exam. We assume you have some existing knowledge and familiarity with AWS, and are specifically looking to get ready to take the certification exam.
Pre-Requisites
Basic knowledge of core AWS functionality. If you haven't already completed it, we recommend our Fundamentals of AWS Learning Path. We also recommend completing the other courses, quizzes, and labs in the Solutions Architect–Associate for AWS certification learning path.
This Course Includes:
- 11 video lectures
- Detailed overview of the AWS services that enable high availability, cost efficiency, fault tolerance, and scalability
- A focus on designing systems in preparation for the certification exam
What You'll Learn
| Lecture Group | What you'll learn |
|---|---|
|
Designing for High availability, fault tolerance and cost efficiency Designing for business continuity |
How to combine AWS services together to create highly available, cost efficient, fault tolerant systems. How to recognize and explain Recovery Time Objective and Recovery Point Objectives, and how to recognize and implement AWS solution designs to meet common RTO/RPO objectives |
| Ten AWS Services That Enable High Availability | Regions and Availability Zones, VPCs, ELB, SQS, EC2, Route53, EIP, CloudWatch, and Auto Scaling |
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Now, Amazon's Simple Queue Service, or SQS, is a reliable messaging queue service that is fully managed. Messages are stored redundantly in Simple Queue Service across multiple servers and availability zones to ensure delivery. Simple Queue Service can handle an unlimited number of messages at any given time. The order is not guaranteed with Simple Queue Service, and a message can be retrieved more than once from a queue, due to the distributed nature of the service. You can place sequencing information in each message so you can reorder the messages upon receipt if you do need to pull messages down in order. You can set a message visibility window of up to 12 hours to ensure messages are consumed. Messages can be stored for between one minute and two weeks. The default retention time is four days. You can delete all the messages in a Simple Queue Service queue using the purge queue action. When you purge a queue, all the messages previously sent to the queue will be deleted. So you should consider using Amazon's Simple Queue Service when you have separate components of a system or different systems altogether that need to interact with one another. You can also use the service to offload requests from primary services, which lets those primary services perform the job that they were intended to perform. With CloudWatch, you can use Simple Queue Service to trigger Auto Scaling based on the number of messages in your queues.
Andrew is fanatical about helping business teams gain the maximum ROI possible from adopting, using, and optimizing Public Cloud Services. Having built 70+ Cloud Academy courses, Andrew has helped over 50,000 students master cloud computing by sharing the skills and experiences he gained during 20+ years leading digital teams in code and consulting. Before joining Cloud Academy, Andrew worked for AWS and for AWS technology partners Ooyala and Adobe.