Cloud, Virtualization, and Service Resilience
- Explain virtual networks, redundancy, and shared responsibility
- Apply the idea to evidence from a realistic technology scenario
- Justify a decision using security, reliability, cost, and user impact
Cloud, Virtualization, and Service Resilience
Cloud networks still use subnets, routes, filters, load balancers, and identity controls, but many components are software-defined. Resilience comes from removing single points of failure and testing how services behave when an instance, link, zone, or dependency fails.
Decision lens
Strong technical decisions connect evidence → mechanism → impact → response. Identify what the evidence shows, explain the system behavior that produced it, state the likely effect on people or data, and choose a response that addresses the cause without creating unnecessary disruption.
A web service has three application servers but one database in a single availability zone.
- 1.The application tier is redundant.
- 2.The single database remains a single point of failure.
- 3.Add appropriate replication, backups, and tested failover.
- 4.Account for consistency, recovery time, recovery point, and cost.
What is a single point of failure?
Which response best demonstrates complete reasoning about virtual networks, redundancy, and shared responsibility?
For a scenario about virtual networks, redundancy, and shared responsibility, identify the decisive evidence before naming a response. A defensible conclusion here is: Multiple front-end servers do not make the whole service resilient when a critical shared dependency is singular.
Answer the 2 checkpoints as you read.
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