Tech Stack Selection
Choose technologies that fit your context: languages, frameworks, databases, and tooling with long-term maintainability in mind.
Tech Stack Selection
We support you in choosing technologies that fit your context: languages, frameworks, databases, and tooling. The goal is a stack that the team can work with effectively, that fits the product and scale you need, and that remains maintainable as the system and organisation grow.
What We Consider
- Maturity and ecosystem — Proven technologies with active communities and clear upgrade paths reduce risk. We help you balance innovation with stability.
- Team skills — The best stack is one your team can adopt and extend. We factor in existing skills, learning curve, and hiring or training options.
- Product and scale — Latency, throughput, data shape, and integration needs influence choices. We align the stack with your Solution Architecture and Scalability & Resilience goals.
- Long-term maintainability — Licensing, vendor lock-in, deprecation cycles, and the cost of future migrations. We prefer stacks that give you control and optionality.
Typical Areas
| Area | Examples of choices |
|---|---|
| Backend | Node, Python, Go, Java/Kotlin; frameworks (Express, FastAPI, Spring, etc.) |
| Data | PostgreSQL, MongoDB, Redis; event stores; analytics and search |
| Frontend | React, Vue, Svelte; SSR/SSG and deployment model |
| Infra & CI | Cloud provider, containers, CI/CD (see Cloud Native) |
We do not push a single stack—we help you evaluate options against your constraints and document decisions in Documentation & ADRs.
Next step
Tech choices feed into Backend Stacks and Cloud Native for concrete implementation and deployment. Capture the rationale in Documentation & ADRs.