Discover which design principles support the reliability pillar of the AWS Well-Architected Framework. Learn how automatic scaling and failure recovery ensure resilient cloud architectures.
Table of Contents
Question
Which design principles support the reliability pillar of the AWS Well-Architected Framework? (Select TWO.)
A. Perform operations as code
B. Enable traceability
C. Automatically scale to meet demand
D. Deploy resources globally to improve response time
E. Automatically recover from failure
Answer
C. Automatically scale to meet demand
E. Automatically recover from failure
Explanation
The principles of automatically scaling to meet demand and automatically recovering from failure support the reliability pillar of the AWS Well-Architected Framework, ensuring systems can handle changes in demand and recover from disruptions.
The reliability pillar of the AWS Well-Architected Framework focuses on ensuring a workload performs its intended function consistently and can recover quickly from failures. Two critical design principles that align with this pillar are automatically scaling to meet demand and automatically recovering from failure.
Automatically scale to meet demand (C)
This principle ensures that workloads can handle changes in demand by dynamically adjusting resources. By monitoring utilization and automating resource scaling, you prevent overloading systems, reducing the likelihood of failures due to capacity constraints.
For example, services like Amazon EC2 Auto Scaling or AWS Lambda automatically scale resources horizontally to maintain availability and performance during traffic spikes or workload increases.
This approach avoids resource saturation, a common cause of service degradation or downtime.
Automatically recover from failure (E)
This principle involves designing systems that monitor key performance indicators (KPIs) and trigger automated recovery processes when thresholds are breached. Automation can repair or work around failures without requiring manual intervention.
Examples include using AWS services like Elastic Load Balancing for failover or Amazon RDS Multi-AZ deployments for database redundancy.
Proactive recovery mechanisms mitigate disruptions, ensuring workloads remain operational even during unexpected events.
Why Other Options Are Incorrect
A. Perform operations as code: While automating operations is part of the operational excellence pillar, it does not directly address reliability. It focuses more on standardizing processes rather than ensuring system availability during failures.
B. Enable traceability: Traceability is a core principle of the security pillar, emphasizing auditability and tracking changes rather than directly contributing to system reliability.
D. Deploy resources globally to improve response time: Deploying resources globally is associated with improving performance efficiency (e.g., reducing latency) rather than enhancing reliability. It primarily addresses user experience rather than system resilience.
By implementing these principles—automatic scaling and recovery—you can build robust, resilient systems that maintain high availability and minimize downtime, aligning with AWS’s best practices for reliability.
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