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.
- 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
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.
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|
If you have thoughts or suggestions for this course, please contact Cloud Academy at email@example.com.
Okay CloudAcademy ninjas, let's review CloudWatch for our exam preparation. Basic monitoring is free with CloudWatch. Detailed monitoring comes at an additional cost. Now detailed monitoring allows you to aggregate metrics on time metrics that you define. Memory utilization is not something that is reported by default using the basic monitoring package. You can install a cloud watch agent on your EC2 instances to collect detailed metrics from EC2 instances and these can include memory utilization. Now CloudWatch does not aggregate data across regions but it can aggregate across availability zones within a region. When you do us detailed metrics, you can set a time value. Now, CloudWatch keeps data for two weeks by default. If you need to keep it longer, you can move it to Amazon S3 or Amazon Glacier and that's a great use case for a lambda function. You can have up to 5000 CloudWatch alarms per account. Now a common use case with CloudWatch monitoring is monitoring DynamoDB. You might want to know if you exceed your provisioned read-limit on a DynamoDB table for example. So if we wanna do this, we use the GET method to request the ProvisionedReadCapacityUnits metric and we create a threshold level with an alarm set when a consecutive number of periods is crossed for that DynamoDB table provisioning. If the threshold is crossed, i.e. the state changes, then you can be notified by email and you can increase the provisioning number.
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.