Migration ScoreCard Maker

1. Overview

The Migration ScoreCard Maker is a tool for creating visually appealing scorecards that compare before and after states of a migration project. It’s particularly useful for visualizing database migrations, cloud migrations, or any other transformation projects where you want to highlight improvements and key metrics.

2. Features

  • Dynamic SVG generation based on table-formatted input

  • iOS-style design with modern aesthetics

  • Customizable themes and colors

  • Sections for before and after states

  • Performance metrics visualization

  • Key optimizations display

  • Migration summary with overall improvement score

  • Fixed dimensions (800x620 pixels) with scaling options

3. Usage

3.1. Basic Example

[docops,scorecard]
----
title=Database Migration ScoreCard: Oracle → AWS Aurora PostgreSQL
subtitle=On-Premise to Cloud Migration with SQL Optimization & Performance Tuning
headerTitle=Database Architecture Transformation & Query Optimization Results
---
[before]
title=On-Premise Oracle Database
---
[before.items]
Oracle Database 19c (On-Premise) | Physical server, manual scaling, high licensing costs | critical | !
Cross-Datacenter Communication | App in cloud, DB on-premise (high latency) | critical | !
---

[after]
title=AWS Aurora PostgreSQL
---
[after.items]
Aurora PostgreSQL (AWS Managed) | Auto-scaling, managed service, no licensing fees | good | ✓
Same-Region Communication | App and DB both in AWS (low latency) | good | ✓
----
DocOps.ioMIT Licensehttps://docops.io2025-06-21Generated by DocOps.io - Licensed under MIT LicenseDatabase Migration ScoreCard: Oracle → AWS Aurora PostgreSQLOn-Premise to Cloud Migration with SQL Optimization & Performance TuningOn-Premise Oracle Database⚠️Oracle Database 19c(On-Premise)Physical server, manualscaling, high licensingcosts⚠️Cross-DatacenterCommunicationApp in cloud, DBon-premise (high latency) PerformanceUPGRADEAWS Aurora PostgreSQL✅Aurora PostgreSQL(AWS Managed)Auto-scaling, managedservice, no licensing fees✅Same-RegionCommunicationApp and DB both in AWS(low latency) PerformanceKey Improvements DeliveredSignificant Performance Improvement

3.2. Input Format

The ScoreCard Maker uses a simple table format for input, with sections denoted by [section] markers and configuration parameters specified at the beginning.

3.2.1. Configuration Parameters

Parameter Description

title

The main title of the scorecard

subtitle

A subtitle or description

headerTitle

The title for the header section (Note: In the iOS-style design, this is used for internal reference but not displayed in the UI)

scale

A scaling factor for the SVG (default: 1.0). The base dimensions are 800x620 pixels, which will be multiplied by this factor.

backgroundColor

Background color (default: #f8f9fa)

titleColor

Title text color (default: #2c3e50)

subtitleColor

Subtitle text color (default: #7f8c8d)

headerColor

Header background color (default: #8e44ad) (Note: In the iOS-style design, this is used for internal reference but not displayed in the UI)

beforeSectionColor

Before section header color (default: #e74c3c)

afterSectionColor

After section header color (default: #27ae60)

3.2.2. Sections

Section Description

[before]

Title for the "before" section

[before.items]

Items in the "before" section, format: `Title

Description

Status

Icon`

[after]

Title for the "after" section

[after.items]

Items in the "after" section, format: `Title

Description

Status

Icon`

3.2.3. Status Values

For the Status field in [before.items] and [after.items]:

  • critical - iOS-style red gradient indicator

  • warning - iOS-style orange gradient indicator

  • good - iOS-style green gradient indicator

In the new iOS-style design, these status values are displayed as subtle circular indicators with iOS system color gradients.

3.2.4. Icons

Common icons used in the Icon field:

  • ! - Converted to ⚠️ (warning emoji) in the iOS-style design

  • $ - Converted to 💰 (money bag emoji) in the iOS-style design

  • ✓ - Converted to ✅ (check mark emoji) in the iOS-style design

In the iOS-style design, these text icons are automatically converted to appropriate emojis for a more modern look.

4. API

The ScoreCard Maker provides a REST API for generating scorecards:

Endpoint Description

GET /api/scorecard/edit-mode

Returns an HTML form for editing the scorecard

GET /api/scorecard/view-mode

Returns an HTML view for displaying the scorecard

PUT /api/scorecard/render

Processes the form data and returns the rendered SVG

5. Examples

5.1. Database Migration ScoreCard

The example at the beginning of this document shows a Database Migration ScoreCard. Here’s another variation focusing on a different database technology:

[docops,scorecard]
----
title=Database Migration ScoreCard: MongoDB → Amazon DocumentDB
subtitle=NoSQL Database Migration with Performance Optimization
headerTitle=Document Database Migration Results
backgroundColor=#f5f5f5
---
[before]
title=Self-Hosted MongoDB
---
[before.items]
MongoDB 4.2 (Self-Hosted) | Manual sharding, complex maintenance, scaling issues | critical | !
Inconsistent Backup Strategy | Weekly backups, manual process, recovery gaps | warning | !
Limited Monitoring | Basic metrics only, no proactive alerts | warning | !
---
[before.performance]
Baseline Performance | 40 | #e74c3c
---
[after]
title=Amazon DocumentDB
---
[after.items]
Amazon DocumentDB | Managed service, automatic scaling, MongoDB-compatible | good | ✓
Automated Backups | Continuous backups, point-in-time recovery | good | ✓
Enhanced Monitoring | CloudWatch integration, custom dashboards | good | ✓
---
[after.performance]
Enhanced Performance | 85 | #27ae60
----
DocOps.ioMIT Licensehttps://docops.io2025-06-21Generated by DocOps.io - Licensed under MIT LicenseDatabase Migration ScoreCard: MongoDB → Amazon DocumentDBNoSQL Database Migration with Performance OptimizationSelf-Hosted MongoDB⚠️MongoDB 4.2(Self-Hosted)Manual sharding, complexmaintenance, scalingissues⚠️Inconsistent BackupStrategyWeekly backups, manualprocess, recovery gaps⚠️Limited MonitoringBasic metrics only, noproactive alerts Baseline PerformanceUPGRADEAmazon DocumentDB✅Amazon DocumentDBManaged service,automatic scaling,MongoDB-compatible✅Automated BackupsContinuous backups,point-in-time recovery✅Enhanced MonitoringCloudWatch integration,custom dashboards Enhanced PerformanceKey Improvements DeliveredSignificant Performance Improvement

5.2. Application Modernization ScoreCard

This example shows how to use the ScoreCard for tracking application modernization efforts:

[docops,scorecard]
----
title=Application Modernization ScoreCard: Monolith to Microservices
subtitle=Legacy Java Application Transformation to Cloud-Native Architecture
headerTitle=Application Architecture Transformation Results
---
[before]
title=Monolithic Java Application
---
[before.items]
Monolithic Architecture | Single codebase, tightly coupled components, difficult to scale | critical | !
Java EE 6 + Oracle | Legacy technology stack with vendor lock-in | critical | !
Manual Deployment | Complex, error-prone deployment process, 2-day release cycle | warning | !
---
[before.performance]
Legacy Application | 35 | #e63946
---
[after]
title=Microservices Architecture
---
[after.items]
Microservices | Decoupled services, independent scaling, resilient architecture | good | ✓
Spring Boot + Kubernetes | Modern cloud-native stack with containerization | good | ✓
CI/CD Pipeline | Automated testing and deployment, multiple releases per day | good | ✓
----
DocOps.ioMIT Licensehttps://docops.io2025-06-21Generated by DocOps.io - Licensed under MIT LicenseApplication Modernization ScoreCard: Monolith to MicroservicesLegacy Java Application Transformation to Cloud-Native ArchitectureMonolithic Java Application⚠️MonolithicArchitectureSingle codebase, tightlycoupled components,difficult to scale⚠️Java EE 6 + OracleLegacy technology stackwith vendor lock-in⚠️Manual DeploymentComplex, error-pronedeployment process, 2-dayrelease cycle Legacy ApplicationUPGRADEMicroservices Architecture✅MicroservicesDecoupled services,independent scaling,resilient architecture✅Spring Boot +KubernetesModern cloud-native stackwith containerization✅CI/CD PipelineAutomated testing anddeployment, multiplereleases per day PerformanceKey Improvements DeliveredSignificant Performance Improvement

5.3. DevOps Transformation ScoreCard

This example demonstrates tracking DevOps transformation progress:

[docops,scorecard]
----
title=DevOps Transformation ScoreCard
subtitle=From Traditional Development to DevOps Culture and Practices
headerTitle=Software Delivery Performance Transformation
---
[before]
title=Traditional Development Process
---
[before.items]
Siloed Teams | Separate dev and ops teams with conflicting goals | critical | !
Manual Processes | Manual testing, deployments, and infrastructure management | critical | !
Quarterly Releases | Long release cycles with large batches of changes | warning | !
---
[before.performance]
Delivery Performance | 25 | #dc3545
---
[after]
title=DevOps Implementation
---
[after.items]
Cross-Functional Teams | Integrated teams with shared responsibility | good | ✓
Automation | CI/CD pipelines, infrastructure as code, automated testing | good | ✓
Continuous Delivery | Small, frequent releases with fast feedback | good | ✓

----
DocOps.ioMIT Licensehttps://docops.io2025-06-21Generated by DocOps.io - Licensed under MIT LicenseDevOps Transformation ScoreCardFrom Traditional Development to DevOps Culture and PracticesTraditional Development Process⚠️Siloed TeamsSeparate dev and opsteams with conflictinggoals⚠️Manual ProcessesManual testing,deployments, andinfrastructure management⚠️Quarterly ReleasesLong release cycles withlarge batches of changes Delivery PerformanceUPGRADEDevOps Implementation✅Cross-FunctionalTeamsIntegrated teams withshared responsibility✅AutomationCI/CD pipelines,infrastructure as code,automated testing✅Continuous DeliverySmall, frequent releaseswith fast feedback PerformanceKey Improvements DeliveredSignificant Performance Improvement

5.4. Website Redesign ScoreCard

This example shows how to track website redesign projects:

[docops,scorecard]
----
title=Website Redesign ScoreCard
subtitle=E-Commerce Platform Modernization and UX Enhancement
headerTitle=Digital Experience Transformation Results
scale=1.0
backgroundColor=#ffffff
headerColor=#6c5ce7
beforeSectionColor=#e84393
afterSectionColor=#00b894
---
[before]
title=Legacy Website
---
[before.items]
Outdated Design | Non-responsive, desktop-only experience | critical | !
Slow Performance | 6.2s average page load time | critical | !
Poor Conversion | 1.2% conversion rate, high bounce rate | warning | !
---
[before.performance]
User Experience Score | 32 | #e84393
---
[after]
title=Redesigned Website
---
[after.items]
Modern Design | Responsive, mobile-first approach | good | ✓
Optimized Performance | 1.8s average page load time | good | ✓
Enhanced Conversion | 3.8% conversion rate, lower bounce rate | good | ✓
----
DocOps.ioMIT Licensehttps://docops.io2025-06-21Generated by DocOps.io - Licensed under MIT LicenseWebsite Redesign ScoreCardE-Commerce Platform Modernization and UX EnhancementLegacy Website⚠️Outdated DesignNon-responsive,desktop-only experience⚠️Slow Performance6.2s average page loadtime⚠️Poor Conversion1.2% conversion rate,high bounce rate User Experience ScoreUPGRADERedesigned Website✅Modern DesignResponsive, mobile-firstapproach✅OptimizedPerformance1.8s average page loadtime✅Enhanced Conversion3.8% conversion rate,lower bounce rate PerformanceKey Improvements DeliveredSignificant Performance Improvement

5.5. Security Enhancement ScoreCard

This example demonstrates tracking security improvement initiatives:

[docops,scorecard]
----
title=Security Enhancement ScoreCard
subtitle=Enterprise Security Posture Improvement Initiative
headerTitle=Cybersecurity Resilience Transformation
---
[before]
title=Security Vulnerabilities
---
[before.items]
Outdated Authentication | Password-only auth, no MFA | critical | !
Unpatched Systems | 68% of systems behind on security patches | critical | !
Limited Monitoring | No 24/7 monitoring, basic logging | warning | !
---
[before.performance]
Security Posture | 28 | #f72585
---
[after]
title=Enhanced Security
---
[after.items]
Modern Authentication | SSO with MFA and conditional access | good | ✓
Patch Management | Automated patching, 99.5% compliance | good | ✓
Advanced Monitoring | 24/7 SOC, SIEM implementation | good | ✓
----
DocOps.ioMIT Licensehttps://docops.io2025-06-21Generated by DocOps.io - Licensed under MIT LicenseSecurity Enhancement ScoreCardEnterprise Security Posture Improvement InitiativeSecurity Vulnerabilities⚠️OutdatedAuthenticationPassword-only auth, noMFA⚠️Unpatched Systems68% of systems behind onsecurity patches⚠️Limited MonitoringNo 24/7 monitoring, basiclogging Security PostureUPGRADEEnhanced Security✅ModernAuthenticationSSO with MFA andconditional access✅Patch ManagementAutomated patching, 99.5%compliance✅Advanced Monitoring24/7 SOC, SIEMimplementation PerformanceKey Improvements DeliveredSignificant Performance Improvement

5.6. AI/ML Implementation ScoreCard

This example shows how to track AI/ML implementation projects:

[docops,scorecard]
----
title=AI/ML Implementation ScoreCard
subtitle=Customer Service Automation with Machine Learning
headerTitle=Intelligent Automation Transformation Results
scale=1.0
backgroundColor=#f0f0f0
headerColor=#7209b7
beforeSectionColor=#f94144
afterSectionColor=#43aa8b
---
[before]
title=Manual Customer Service
---
[before.items]
Manual Ticket Routing | Human agents manually categorizing tickets | critical | !
No Predictive Capabilities | Reactive approach to customer issues | warning | !
Limited Self-Service | Basic FAQ, no intelligent assistance | warning | !
---
[before.performance]
Service Efficiency | 35 | #f94144
---
[after]
title=AI-Enhanced Customer Service
---
[after.items]
ML-Based Ticket Routing | Automatic categorization and priority assignment | good | ✓
Predictive Analytics | Proactive issue detection and resolution | good | ✓
AI-Powered Chatbot | 24/7 intelligent virtual assistant | good | ✓
----
DocOps.ioMIT Licensehttps://docops.io2025-06-21Generated by DocOps.io - Licensed under MIT LicenseAI/ML Implementation ScoreCardCustomer Service Automation with Machine LearningManual Customer Service⚠️Manual TicketRoutingHuman agents manuallycategorizing tickets⚠️No PredictiveCapabilitiesReactive approach tocustomer issues⚠️Limited Self-ServiceBasic FAQ, no intelligentassistance Service EfficiencyUPGRADEAI-Enhanced Customer Service✅ML-Based TicketRoutingAutomatic categorizationand priority assignment✅Predictive AnalyticsProactive issue detectionand resolution✅AI-Powered Chatbot24/7 intelligent virtualassistant PerformanceKey Improvements DeliveredSignificant Performance Improvement

5.7. Cloud Migration ScoreCard

This example demonstrates tracking cloud migration projects:

[docops,scorecard]
----
title=Cloud Migration ScoreCard: On-Premise to AWS
subtitle=Enterprise Infrastructure Transformation to Cloud-Native Architecture
headerTitle=Digital Infrastructure Modernization Results
---
[before]
title=BEFORE: On-Premise Data Center
---
[before.items]
Physical Infrastructure | Hardware refresh cycles, capital expenses | critical | $
Limited Scalability | Manual scaling, capacity planning challenges | warning | !
High Maintenance | 65% of IT time spent on "keeping the lights on" | critical | !
---
[before.performance]
Infrastructure Agility | 30 | #ef476f
---
[after]
title=AFTER: AWS Cloud Environment
---
[after.items]
Cloud Infrastructure | Pay-as-you-go model, operational expenses | good | $
Auto-Scaling | Dynamic resource allocation based on demand | good | ✓
Managed Services | 70% reduction in maintenance overhead | good | ✓
----
DocOps.ioMIT Licensehttps://docops.io2025-06-21Generated by DocOps.io - Licensed under MIT LicenseCloud Migration ScoreCard: On-Premise to AWSEnterprise Infrastructure Transformation to Cloud-Native ArchitectureBEFORE: On-Premise Data Center💰PhysicalInfrastructureHardware refresh cycles,capital expenses⚠️Limited ScalabilityManual scaling, capacityplanning challenges⚠️High Maintenance65% of IT time spent on"keeping the lightson" Infrastructure AgilityUPGRADEAFTER: AWS Cloud Environment💰Cloud InfrastructurePay-as-you-go model,operational expenses✅Auto-ScalingDynamic resourceallocation based on demand✅Managed Services70% reduction inmaintenance overhead PerformanceKey Improvements DeliveredSignificant Performance Improvement

6. Best Practices and Creative Uses

6.1. Best Practices for Creating Effective Scorecards

When creating your own scorecards, consider these best practices:

  1. Focus on Contrast: Ensure a clear contrast between "before" and "after" states to highlight improvements.

  2. Use Consistent Metrics: Choose metrics that can be directly compared between the before and after states.

  3. Limit Items: Include 3-5 key items in each section to avoid overwhelming the viewer.

  4. Choose Meaningful Colors: Use colors that intuitively represent status (red for critical, green for good).

  5. Quantify Improvements: Express improvements in percentages or other measurable terms.

  6. Highlight Key Optimizations: Focus on the most impactful changes that drove the improvements.

  7. Include Context in Footer: Add relevant information about timeline, team size, or approach in the footer.

  8. Be Specific in Titles: Use specific, descriptive titles rather than generic ones.

6.2. Creative Uses for ScoreCards

Beyond the examples shown above, ScoreCards can be used for:

  1. Product Launch Comparisons: Compare metrics between previous and new product versions.

  2. Team Performance Tracking: Visualize team performance improvements over time.

  3. User Experience Enhancements: Document UX improvements with before/after metrics.

  4. Infrastructure Upgrades: Showcase the impact of hardware or network upgrades.

  5. Training Program Effectiveness: Compare skill levels before and after training initiatives.

  6. Marketing Campaign Results: Display the impact of marketing strategy changes.

  7. Software Version Comparisons: Highlight improvements between software releases.

  8. Process Optimization: Document the results of business process reengineering.

  9. Compliance Improvements: Track progress in meeting regulatory requirements.

  10. Sustainability Initiatives: Showcase environmental impact reductions.

6.3. iOS-Style Design

The ScoreCard Maker now uses an iOS-style design with the following elements:

  1. Fixed Dimensions: Each scorecard has fixed dimensions of 800x620 pixels, which can be scaled using the scale parameter.

  2. Subtle Background Gradient: A light gradient background for a modern, clean look.

  3. Card-Based Layout: Content is organized in card-like containers with rounded corners.

  4. iOS-Style Shadows: Subtle drop shadows add depth and dimension to the cards.

  5. System Gradients: iOS-style color gradients for headers and indicators (blue, green, red, orange).

  6. Modern Typography: Uses the San Francisco font family (or system equivalents) for a native iOS feel.

  7. Team Avatars: Includes a section for team member avatars with initials.

  8. Key Improvements Summary: A dedicated section highlighting the overall improvements.

6.4. Design Tips

  1. Color Harmony: Choose complementary colors for a visually appealing scorecard.

  2. Typography: The default typography is designed for readability, but you can customize it if needed.

  3. White Space: The layout includes appropriate white space for readability.

  4. Visual Hierarchy: The most important information (summary and key metrics) is emphasized.

  5. Consistency: Maintain consistent formatting throughout your scorecard.

7. Customization

The ScoreCard Maker supports customization through various parameters:

  • Colors for different sections

  • Scaling for different display sizes (base dimensions: 800x620 pixels)

  • Custom icons and status indicators

  • iOS-style visual elements (gradients, shadows, rounded corners)

  • Fixed layout with consistent design elements

8. Integration

The ScoreCard Maker can be integrated with other documentation tools:

  • Embed in AsciiDoc documents

  • Include in HTML pages

  • Export as SVG for use in presentations

  • Convert to PDF for reports

9. Quick Reference Guide

9.1. Common Patterns

Here are some common patterns you can use as templates for your own scorecards:

9.1.1. Status Indicators

Status Icon Use Case

critical

!

Highlighting problems or critical issues in the "before" state

warning

!

Indicating caution or moderate issues

good

✓

Showing improvements or positive aspects in the "after" state

neutral

•

Presenting neutral information without judgment

9.1.2. Color Schemes

Theme Colors Use Case

Corporate

#0a2540, #4a56e2, #2a9d8f

Professional business presentations

High Contrast

#000000, #ffffff, #ff0000, #00ff00

Maximum readability and accessibility

Pastel

#f8edeb, #fcd5ce, #f9dcc4, #fec89a

Softer, more approachable look

Vibrant

#f72585, #7209b7, #3a0ca3, #4361ee

Eye-catching presentations with high impact

9.1.3. Template Snippets

Basic Before/After Item:

[before.items]
Item Name | Description of the issue | critical | !
---
[after.items]
Improved Item | Description of the improvement | good | ✓

10. Troubleshooting

10.1. Common Issues

  • If sections are not appearing correctly, check that you have the correct section markers ([section])

  • If colors are not displaying correctly, ensure they are valid hex color codes (e.g., #3498db)

  • If the layout seems off, try adjusting the scale parameter

  • If metrics aren’t showing up, verify that you have both a [metrics] section and a corresponding [metrics.items] section

  • If the scorecard appears too small or too large, remember that the base dimensions are fixed at 800x620 pixels, which are then multiplied by the scale parameter

  • If icons don’t appear as expected, note that in the iOS-style design, text icons (!, $, ✓) are automatically converted to emojis

10.2. Support

For issues or feature requests, please contact the DocOps team.