Framework for making technology decisions.
When to Use
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Choosing between frameworks/libraries
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Evaluating cloud providers
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Making build vs buy decisions
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Planning technology migrations
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Standardizing tech stack
Evaluation Framework
Decision Matrix
| Team Experience | 20% | Score | Score | Score
| Community/Support | 15% | Score | Score | Score
| Performance | 15% | Score | Score | Score
| Scalability | 15% | Score | Score | Score
| Cost (TCO) | 15% | Score | Score | Score
| Integration | 10% | Score | Score | Score
| Security | 10% | Score | Score | Score
Scoring Guide
| 5 | Excellent, best in class
| 4 | Good, above average
| 3 | Adequate, meets needs
| 2 | Below average, concerns
| 1 | Poor, significant issues
Common Comparisons
Frontend Frameworks
| Learning Curve | Medium | Low | High
| Ecosystem | Large | Medium | Large
| Performance | Good | Good | Good
| Enterprise | Yes | Growing | Yes
| Job Market | Largest | Growing | Strong
Backend Languages
| Performance | Good | Medium | Excellent | Good
| Ecosystem | Large | Large | Growing | Large
| Learning | Easy | Easy | Medium | Hard
| Concurrency | Event-loop | Async | Native | Threads
Databases
| Type | Relational | Relational | Document | Key-Value
| Scalability | Vertical | Vertical | Horizontal | Horizontal
| Schema | Strict | Strict | Flexible | Flexible
| Cost | Free | Free | Free/Paid | Usage
Cloud Providers
| Market Share | Largest | Growing | Second
| Services | Most complete | Strong ML/Data | Enterprise
| Pricing | Complex | Simpler | Complex
| Free Tier | 12 months | Always free | 12 months
Evaluation Process
Step 1: Define Requirements
## Requirements
- Scale: [Expected users/requests]
- Performance: [Latency requirements]
- Budget: [Monthly/yearly budget]
- Team: [Current skills and size]
- Timeline: [Implementation deadline]
Step 2: Identify Options
Research 3-5 viable options:
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Current market leaders
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Rising alternatives
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Team-familiar options
Step 3: Proof of Concept
Build minimal POC for top 2-3 options:
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Core functionality
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Integration test
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Performance benchmark
Step 4: Total Cost Analysis
| Licensing | $ | $
| Infrastructure | $ | $
| Development | $ | $
| Training | $ | $
| Maintenance | $ | $
| Total (3 yr) | $ | $
Step 5: Risk Assessment
| Vendor lock-in | Low/Med/High |
| Technology obsolescence |
|---|
| Skill availability |
|---|
| Security concerns |
|---|
Build vs Buy
Build When
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Core competitive advantage
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Unique requirements
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Long-term cost savings
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Team has expertise
Buy When
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Commodity functionality
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Time to market critical
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Ongoing maintenance burden
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Industry standard exists
Decision Tree
Is it core to your business?
├── Yes → Does expertise exist?
│ ├── Yes → Build
│ └── No → Buy (for now)
└── No → Buy or use open source
Migration Planning
Migration Phases
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Assessment - Current state analysis
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Planning - Target architecture
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Preparation - Team training, tooling
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Migration - Incremental rollout
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Validation - Testing, monitoring
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Cutover - Final switch
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Optimization - Post-migration tuning
Risk Mitigation
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Run parallel systems
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Feature flags for rollback
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Comprehensive testing
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Staged rollout
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Clear rollback plan
Documentation Template
# Technology Decision: [Name]
## Context
Why are we making this decision?
## Options Considered
1. [Option A] - Pros/Cons
2. [Option B] - Pros/Cons
3. [Option C] - Pros/Cons
## Decision
We chose [Option] because...
## Consequences
- Positive: [List]
- Negative: [List]
## Implementation Plan
- Phase 1: [Action]
- Phase 2: [Action]