Overview
Crimson Diagnostics Cloud Dashboard
Interactive simulations exploring cloud strategy, operations, and growth for a fictional diagnostics company.

Team: Lesley Harris · Mahesh Yarasi · Frank E. McDonough IV

This dashboard presents twelve interactive panels spanning financial planning, governance, SLA engineering, CI/CD pipelines, AI investment, employee adoption curves, and market diffusion models. Each panel features live controls and Plotly.js visualizations that update instantly as you adjust parameters.

Select a panel from the sidebar or click a card below to begin exploring.

P1
Financial Plan
5-year OpEx projection: lift-and-shift vs disciplined cloud ops.
P2
ROI
Cumulative return on investment over 5 years.
P3
Governance
Cloud threat verticals and governance framework.
P4
SLA
Service-level agreement tiers and downtime impact.
P5
CI/CD
Automation impact on deployment velocity and failure rates.
P6
Uptime vs Cost
Redundancy trade-offs for availability engineering.
P7
AI ROI
Diminishing returns on AI/ML cloud investment.
P8
Employee Adoption
S-curve adoption modeled by training and leadership.
P9
Market Diffusion
Bass diffusion model for cloud product adoption.
EC1
Cost Explorer
Synthetic AWS cost data explorer with policy savings.
EC2
Cloud Deployment
Deployment architecture and cost breakdown.
P1 · Track A
Financial Plan
Compare five-year OpEx trajectories between a naive lift-and-shift migration and a disciplined cloud-operations approach.

Parameters

P2 · Track A
Return on Investment
Cumulative ROI percentage over five years — watch the break-even crossover point.

Parameters

P3 · Track A
Governance
A governance framework maps cloud threat verticals to organizational controls and accountability structures.

Threat Vertical

CISO / Cloud Governance Board
Identity & Access Mgmt
Data Protection
Compliance & Audit
Network Security
Incident Response
Change Advisory Board
P4 · Track B
SLA Engineering
Every additional "nine" of availability dramatically reduces allowed downtime — and dramatically increases cost.

Parameters

P5 · Track B
CI/CD Pipeline
Higher automation correlates with faster deployments and lower failure rates — up to a point where complexity adds risk.

Parameters

P6 · Track B
Uptime vs Cost
Each additional redundancy level offers diminishing uptime gains at exponentially increasing cost.

Parameters

Off On
P7 · Track C
AI ROI
AI investment follows diminishing returns — a "sweet spot" exists where ROI peaks before overspending erodes value.

Parameters

P8 · Track C
Employee Adoption
Cloud adoption follows an S-curve — training hours and leadership buy-in shape both the ceiling and the inflection point.

Parameters

P9 · Track C
Market Diffusion
The Bass diffusion model captures how innovation spreads through a market via advertising (p) and word-of-mouth (q).

Parameters

B2C B2B
EC1 · Extras
Cost Explorer Demo Mode
Synthetic cost data demonstrates how a cost-explorer visualization would surface spending trends and policy savings.

Parameters

EC2 · Extras
Cloud Deployment Architecture
This dashboard runs as a static site on GitHub Pages — zero server cost, instant global CDN delivery.

The Crimson 4 dashboard is deployed as a single-file static web application. No Python runtime, no WASM, no server-side processing. All computations run in the browser via JavaScript, with Plotly.js rendering interactive charts.

Deployment Pipeline

Git Push
➜
GitHub Actions
➜
Build & Validate
➜
GitHub Pages CDN
➜
User Browser

Request Lifecycle

DNS Lookup
➜
CDN Edge
➜
index.html
➜
Load Plotly.js
➜
Render Charts

Cost Comparison

$0
GitHub Pages

Static files, free tier

~$1-2
AWS (Stopped)

EC2 stopped, EBS storage only

~$8-10
AWS (Always-on)

t3.micro 24/7 + EBS + network

AWS Services (Full Deployment)

EC2 (t3.micro)
EBS (gp3 8GB)
VPC + Subnet
Security Groups
IAM Roles
Route 53 (DNS)
CloudWatch
S3 (backups)

Security Considerations