A company wants to launch its workload on AWS and requires the system to automatically recover from failure. Which pillar of the AWS Well-Architected Framework includes this requirement?
Reliability in the AWS Well-Architected Framework refers to the ability of a system to recover from infrastructure or service disruptions, as well as to dynamically acquire computing resources to meet demand. It emphasizes designing systems that can automatically handle failures and continue operating without manual intervention.
In this scenario, the company's requirement for automatic recovery from failure reflects the focus on building a reliable system that can withstand disruptions and maintain availability. By designing the workload to be resilient and implementing fault-tolerant architectures, the system can automatically recover and continue functioning even in the event of failures or disruptions.
D is the answer.
The reliability pillar includes the ability of a system to recover from infrastructure or service disruptions, dynamically acquire computing resources to meet demand, and mitigate disruptions such as misconfigurations or transient network issues.
https://docs.aws.amazon.com/wellarchitected/latest/high-performance-computing-lens/reliability-pillar.html
Answer is D (Refference: https://aws.amazon.com/architecture/well-architected/?nc1=h_ls&wa-lens-whitepapers.sort-by=item.additionalFields.sortDate&wa-lens-whitepapers.sort-order=desc&wa-guidance-whitepapers.sort-by=item.additionalFields.sortDate&wa-guidance-whitepapers.sort-order=desc)
Reliability
The Reliability pillar encompasses the ability of a workload to perform its intended function correctly and consistently when it’s expected to. This includes the ability to operate and test the workload through its total lifecycle. You can find prescriptive guidance on implementation in the Reliability Pillar whitepaper.
Design Principles
There are five design principles for reliability in the cloud:
Automatically recover from failure
Test recovery procedures
Scale horizontally to increase aggregate workload availability
Stop guessing capacity
Manage change in automation
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