What Is High Availability in Cloud Computing?
A company hosts a critical web application using a public cloud provider. The application is deployed across two separate data centers in different geographic regions. The cloud provider automatically routes traffic to the healthy region in the event of a full data center outage, with no manual intervention. Which cloud computing characteristic does this BEST describe?
⚠ Common exam trap
CompTIA often tests the distinction between high availability and fault tolerance, where the trap is that candidates confuse automatic failover (which may have a brief interruption) with true fault tolerance (which requires zero downtime and no user-visible impact).
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
High availability
High availability (HA) is the cloud characteristic that ensures an application remains accessible despite failures, often through redundancy and automatic failover. In this scenario, the cloud provider's automatic traffic routing to a healthy region during a full data center outage, without manual intervention, directly demonstrates HA by eliminating a single point of failure and maintaining service continuity.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Elasticity
Why it's wrong here
Elasticity is the cloud characteristic that dynamically provisions or releases compute resources to match fluctuating demand, typically through auto-scaling policies tied to metrics like CPU utilization or request count. In this scenario, the critical requirement is not adjusting capacity but rerouting requests to a different geographic region when a data center fails. While an elastic architecture might respond to a region failure by scaling elsewhere, that would be a secondary effect; the primary action described is automatic traffic failover, which is a high-availability mechanism. Thus, elasticity does not explain the outage-tolerant behavior in the question.
- ✓
High availability
Why this is correct
High availability is a system-design property that uses redundancy—such as multiple regions, load balancers, and health checks—to ensure service continuity with minimal downtime. The scenario describes an automatic rerouting of traffic from an unhealthy region to a healthy one during a data center outage, which is a classic failover pattern used to achieve HA. Unlike fault tolerance, HA allows for a short interruption while failover occurs, but it still meets the goal of keeping the application accessible to users. This option directly matches the described behavior, making it the correct characteristic.
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Scalability
Why it's wrong here
Scalability measures a system's ability to handle growth in workload by adding or removing resources, either by scaling up (larger instances) or scaling out (more instances). It addresses performance under increasing load, but does not inherently provide redundancy or automatic failover; a scalable service can still crash entirely if its single region goes offline. The scenario's central event is a regional data center outage and the cloud's automatic traffic redirection, which is a resilience feature rather than a capacity-adjustment feature. Therefore, scalability is insufficient to describe the outage recovery mechanism.
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Fault tolerance
Why it's wrong here
Fault tolerance is often defined as a system's ability to continue operating without interruption when a component fails. This scenario describes automatic failover with potential brief interruption during rerouting, which is closer to high availability than fault tolerance.
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Key term
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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