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Architecture

Choosing the Right Tech Stack for Your Project

A framework for evaluating technologies and making informed stack decisions. Avoid hype-driven development and pick tools that match your actual requirements.

Author

Robert Baker

Published

Read time

3 min read

Every project starts with a stack decision. Choose well and you move fast for years. Choose poorly and you’re rewriting in 18 months. Here’s how to evaluate technologies without falling for hype.

The Evaluation Framework

Score each technology option against these five criteria:

1. Team Familiarity

The best technology is the one your team already knows. A team of Python developers will ship faster with Django than with a language they’re learning on the job.

Question: Can your team be productive with this technology within the first week?

2. Ecosystem Maturity

A mature ecosystem means:

  • Battle-tested libraries for common tasks (auth, payments, email)
  • Active community and Stack Overflow answers
  • Regular maintenance and security patches
  • Clear migration paths between versions

Question: When you hit a problem, will you find a solution in under 30 minutes?

3. Operational Complexity

Every technology has operational overhead. Consider:

  • Hosting requirements — serverless functions vs. Kubernetes clusters
  • Monitoring and debugging — are there good observability tools?
  • Scaling characteristics — what happens at 10x your current load?

Question: Can your team deploy, monitor, and debug this in production?

4. Performance Requirements

Be honest about what your project actually needs:

Project TypePerformance NeedAcceptable Stack
Marketing siteFast initial loadAstro, Next.js, Hugo
SaaS dashboardResponsive interactionsReact, Vue, Svelte
Real-time appLow latency, WebSocketsNode.js, Go, Elixir
Data pipelineHigh throughputPython, Rust, Go

Don’t optimize for performance you don’t need. A Rails app handles the vast majority of SaaS workloads perfectly well.

5. Long-term Viability

Consider the technology’s trajectory:

  • Who maintains it? A VC-funded startup, a single maintainer, or a major company?
  • What’s the adoption trend? Growing, stable, or declining?
  • Is there vendor lock-in? Can you migrate away if needed?

Common Stack Patterns

The Lean SaaS Stack

For startups shipping fast with a small team:

Frontend: Astro + React islands
Backend:  Cloudflare Workers / Pages Functions
Database: D1 (SQLite) or Turso
Auth:     Lucia / custom JWT
Hosting:  Cloudflare Pages

The Enterprise Stack

For larger teams needing governance and scale:

Frontend: Next.js or React SPA
Backend:  Node.js / Python / Go microservices
Database: PostgreSQL + Redis
Auth:     Auth0 / Okta
Hosting:  AWS / GCP with Terraform

The Content-Heavy Stack

For blogs, docs, and marketing sites:

Frontend: Astro / Hugo / Eleventy
CMS:      MDX files / Contentful / Sanity
Hosting:  Cloudflare Pages / Netlify / Vercel

Red Flags

Watch out for these decision anti-patterns:

  • Resume-driven development — choosing tech because it looks good on a CV
  • Hype-driven development — adopting whatever’s trending on social media
  • Over-engineering — Kubernetes for a side project with 10 users
  • Ignoring operational cost — choosing a stack nobody on the team can operate

The Decision Process

  1. List your hard requirements (platform constraints, compliance, performance)
  2. Identify 2-3 candidate stacks that meet those requirements
  3. Build a small prototype with each (1-2 days max)
  4. Evaluate against the five criteria above
  5. Make a decision and commit — switching costs increase over time

The best stack is the boring one that lets you focus on your product instead of your infrastructure.

Need help evaluating your tech stack? →

Topics covered ArchitectureTech StackStrategyBest PracticesEngineering
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