Deployment Strategy Decision Matrix¶
Scaffold
This MicroSim has been scaffolded from its specification. The interactive implementation has not been built yet.
Learning Objective¶
Students will be able to select the most appropriate deployment strategy for a given set of quality attribute priorities (rollback speed, zero-downtime requirement, cost tolerance, traffic validation need) and justify the selection with tradeoff analysis.
- Bloom Level: Evaluate (L5) — Assess deployment strategies to select the approach that best fits a given set of quality attribute requirements and constraints.
- Bloom Verb: Assess
- Library: p5.js
Preview¶
Specification¶
The full specification below is extracted from Chapter 13: Cloud-Native Architecture.
Type: microsim
**sim-id:** deployment-strategy-selector<br/>
**Library:** p5.js<br/>
**Status:** Specified
Purpose: Interactive decision tool showing how deployment strategy selection affects quality attribute scenarios for deployability, availability, cost, and complexity — allowing students to select quality attribute priorities and see the recommended strategy.
Bloom Level: Evaluate (L5) — Assess deployment strategies to select the approach that best fits a given set of quality attribute requirements and constraints.
Bloom Verb: Assess
Learning Objective: Students will be able to select the most appropriate deployment strategy for a given set of quality attribute priorities (rollback speed, zero-downtime requirement, cost tolerance, traffic validation need) and justify the selection with tradeoff analysis.
Canvas layout:
- Left: Quality attribute priority sliders (Zero-Downtime Requirement, Rollback Speed Priority, Cost Sensitivity, Canary Validation Need — each 1-5)
- Center: Deployment strategy comparison cards (Blue-Green, Canary, Rolling Update, Recreate) showing scores on each dimension
- Right: "Best Fit" recommendation with explanation and tradeoffs accepted
- Bottom: Timeline visualization showing the deployment sequence for the recommended strategy
Strategy scores:
Blue-Green: Zero-Downtime=5, Rollback=5, Cost=1, Validation=2
Canary: Zero-Downtime=4, Rollback=4, Cost=3, Validation=5
Rolling Update: Zero-Downtime=4, Rollback=3, Cost=5, Validation=2
Recreate (full stop): Zero-Downtime=1, Rollback=2, Cost=5, Validation=1
Behavior:
- Moving sliders updates the "gap" between student requirements and each strategy's scores
- Best-fit strategy highlighted with minimum total gap
- "Simulate Deployment" button animates the timeline for the selected strategy
- "Compare All" shows all four strategies side-by-side in a radar chart
Instructional Rationale: Slider-driven selection is appropriate for Evaluate because students must explicitly state their quality attribute priorities before seeing recommendations, preventing anchoring.
Color scheme: Blue for Blue-Green, Green for Canary, Orange for Rolling, Red for Recreate.
Responsive: Controls stack vertically on narrow screens.