04 / TECHNOLOGIES
The stack follows the requirements, not the other way around.
We select technologies for task fit, ecosystem maturity, supportability, and the cost of change.
The specific toolset is refined after analyzing load, data, integrations, team context, and the operating environment.
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DS / TECHNOLOGIESFrontend Technologies
We use component architecture, typed logic, and manageable state for complex interfaces. Technology choices account for accessibility, performance, testability, browser support, and team workflow.
Backend Technologies
Server platforms and frameworks are selected around the domain, integrations, load, and security needs. Ecosystem maturity, observability, and long-term support are part of the decision.
Databases & Data Management
We design relational or non-relational models around data structure and access patterns. The scope includes indexing, migrations, integrity, backup, auditing, and access control.
Cloud Infrastructure
We treat infrastructure as a managed, reproducible system across development, testing, and operations. Network boundaries, secrets, scaling, backups, logs, and cost controls are designed explicitly.
DevOps & Automation
We automate checks, builds, configuration, and deployment with controlled access. Metrics, logs, and alerts make system health visible and help isolate failures quickly.
Development Tools & Frameworks
Tools are selected for task fit, maturity, compatibility, and ownership cost. A new framework should simplify work or reduce risk rather than create a hidden dependency on fashion.