Cloud Computing Architecture Guide

Scenario Studio and Conversation-Ready Explanations

Goal

Practice turning varied prompts into concise explanations of context, choices, trade-offs, risks, and next evidence.

The Two-Minute Frame

Use this order:

  1. Outcome and critical context.

  2. Important constraints and assumptions.

  3. Responsibility and flow model.

  4. Options considered.

  5. Recommendation and why it fits.

  6. Accepted trade-offs and major risks.

  7. Next validation or decision.

Lead with decision logic. Diagrams and provider services are supporting evidence.

Scenario 1: Data-Center Exit

Prompt: Move 80 applications in 18 months without unnecessary rewrites.

Pause and identify portfolio evidence, dependencies, landing-zone needs, deadlines, and operating capability.

Answer outline: Segment by business criticality, lifecycle, technical condition, dependency group, and confidence. Establish a production-ready foundation, pilot representative workloads, and use migration waves with cutover and rollback evidence. Rehost where speed and lifecycle justify it; modernize when it removes a known constraint. Track decommissioning and ownership transfer, not migration count alone. Validate dependency discovery with two pilots.

Scenario 2: Hybrid Factory Connectivity

Prompt: Factory systems must call cloud APIs, but production cannot depend on one network path.

Answer outline: Clarify latency, offline behavior, sites, addressing, security, and recovery. Model local operation, DNS, identity, routing, inspection, primary and backup connectivity, and cloud API entry. Recommend dual diverse paths only if the local application can tolerate failover behavior. Accept additional network and test cost. Prove route, DNS, credential, and degraded-mode behavior through a site exercise.

Scenario 3: Reliability Redesign

Prompt: Checkout had a two-hour outage after its recommendation dependency slowed.

Answer outline: Protect checkout as the critical journey. Time-bound recommendation calls, remove them from the transactional dependency chain, cap retries, and return a recommendation-free response. Add user-outcome objectives and dependency saturation signals. The trade-off is a less personalized experience during degradation. Validate with latency injection and peak-load tests.

Unworked Studio Prompts

  • A SaaS customer requests dedicated data and keys but will not accept a higher price.

  • A public API must launch in six weeks with uncertain traffic and strict abuse controls.

  • A data platform needs near-real-time dashboards while preserving authoritative finance reconciliation.

  • A commerce team wants Kubernetes for portability but has no platform operators.

  • A regional application must become global while customer records remain in one jurisdiction.

For each, state assumptions, choose two viable shapes, recommend conditionally, and name one experiment.

Handling Follow-Up Changes

If regulation tightens, revisit data and evidence boundaries. If budget falls, reduce optional resilience or managed capability only after restating the business consequence. If the provider changes, preserve responsibility intent and re-evaluate service behavior. If team skill changes, revisit the feasible operating model. A strong answer changes when a decision-driving fact changes.

Common Mistakes

  • Reciting a memorized architecture that ignores the prompt.

  • Filling the opening with service names.

  • Giving a recommendation with no consequence or next validation.

  • Refusing to proceed until every unknown is resolved.

  • Keeping the same answer after a critical constraint changes.

If Someone Asks You

Can you explain your recommendation clearly in two minutes?

"I will state the outcome and constraints, show the responsibility flow, compare the viable options, recommend one because it fits the priorities, name the trade-offs and risks, and finish with the evidence or decision needed next."

What You Should Remember

Lead with decision logic; use diagrams and provider services as supporting evidence.

Questions to Check Your Understanding

  1. Which facts belong in the opening context?

  2. Which follow-up constraint should change one of the answers above?

  3. What makes an explanation useful to both technical and business listeners?

Further Study