99 lines
2.9 KiB
Markdown
99 lines
2.9 KiB
Markdown
# Technology Selection
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## Database Selection
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Decision factors:
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1. **Data model fit**
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- Relational (structured, ACID, complex queries) → PostgreSQL, MySQL
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- Document (flexible schema, nested data) → MongoDB, DynamoDB
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- Graph (relationship-heavy) → Neo4j, DGraph
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- Time-series (metrics, events) → TimescaleDB, InfluxDB
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- Key-value (simple lookups, cache) → Redis, DynamoDB
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2. **Consistency requirements**
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- Strong consistency → PostgreSQL, CockroachDB
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- Eventual consistency acceptable → DynamoDB, Cassandra
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- Hybrid needs → MongoDB, Cosmos DB
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3. **Scale characteristics**
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- Read-heavy → read replicas, caching
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- Write-heavy → sharding, write-optimized DB
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- Both → consider CQRS pattern
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4. **Operational complexity**
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- Managed service available? Use it unless special needs
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- Self-hosted required? Factor operational overhead
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- Multi-region? Consider distributed databases
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Decision matrix:
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```
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ACID + complex queries + proven? → PostgreSQL
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Flexibility + horizontal scaling + managed? → DynamoDB
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Document model + rich queries + open source? → MongoDB
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High write throughput + wide column? → Cassandra
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Caching + pub/sub + simple data? → Redis
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```
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## Framework Selection
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### Backend (TypeScript/JavaScript)
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| Framework | Best for |
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|-----------|----------|
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| Hono | New projects, serverless, edge |
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| Express | Teams with Express experience |
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| Fastify | Raw speed matters |
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| NestJS | Large teams, complex domains |
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### Backend (Rust)
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| Framework | Best for |
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|-----------|----------|
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| Axum | New projects, type-safe routing |
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| Actix-web | Raw performance critical |
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| Rocket | Rapid development |
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Decision criteria:
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- Team expertise and learning curve
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- Performance requirements (most apps don't need Rust speed)
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- Ecosystem and library availability
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- Type safety and developer experience
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- Deployment target (serverless, containers, bare metal)
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### Frontend
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| Stack | Best for |
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|-------|----------|
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| React + TanStack Router | Complex state, large ecosystem |
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| Solid | Performance-critical UIs |
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| Svelte | Small teams, simple apps |
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| Next.js | SSR/SSG needs, full-stack React |
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## Infrastructure
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### Serverless (Vercel, Cloudflare Workers, AWS Lambda)
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- **Pros**: Zero ops, auto-scaling, pay-per-use
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- **Cons**: Cold starts, vendor lock-in, harder debugging
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- **Best for**: Low-traffic apps, edge functions, prototypes
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### Container orchestration (Kubernetes, ECS)
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- **Pros**: Portability, fine control, proven at scale
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- **Cons**: Operational complexity, learning curve
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- **Best for**: Medium-large apps, multi-service systems
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### Platform-as-a-Service (Heroku, Render, Railway)
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- **Pros**: Simple deploys, managed infrastructure
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- **Cons**: Higher cost, less control, scaling limits
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- **Best for**: Startups, MVPs, small teams
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### Bare metal / VMs
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- **Pros**: Full control, cost-effective at scale
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- **Cons**: High operational burden
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- **Best for**: Special requirements, very large scale
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