Technology Stack Overview
Explore the complete technology stack used in Flagpilot, including frontend frameworks, backend services, and infrastructure components with rationales for each.
Flagpilot is designed as a highly scalable, modern, and open-source feature flagging platform. Its technology stack reflects a deep focus on performance, extensibility, and developer experience. This document outlines the selected tools, frameworks, and libraries used across both the frontend and backend of the platform.
Frontend
The frontend of Flagpilot is built using a modern React-based stack optimized for speed, SEO, responsiveness, and seamless developer experience.
Next.js (App Router)
Why Next.js? Next.js provides hybrid rendering (SSR, SSG, ISR), route-based code splitting, native TypeScript support, and fast builds. The App Router allows flexible layouts, nested routing, and server components, making it ideal for scalable and content-heavy applications like documentation, blogs, and dashboards.
Tailwind CSS
Why Tailwind CSS? Tailwind enables a utility-first approach to styling, making UI development fast and consistent. Its JIT engine delivers performance, and it integrates well with design systems. It also supports theming and dark/light mode effortlessly.
shadcn/ui
Why shadcn? Shadcn is a modern, accessible component library built on top of Radix UI and Tailwind. It ensures design consistency across the platform and accelerates development while keeping the styles customizable and framework-agnostic.
React Query (TanStack Query)
Why TanStack Query? React Query handles remote data synchronization and caching elegantly. It simplifies API fetching logic, reduces boilerplate, and improves performance with features like stale-while-revalidate, pagination, background fetching, and optimistic updates.
Fumadocs
Why Fumadocs? Fumadocs is a lightweight yet powerful documentation system built on Next.js and MDX. It provides a great developer experience for managing docs and blog content via the file system, and comes with features like scrollspy, responsive TOC, and theme support that align perfectly with our needs.
Other Utilities
- clsx: For conditional class names.
- lucide-react: For clean, modern iconography.
- zod: Schema validation in the frontend, useful in forms and shared schemas.
- react-hook-form: Lightweight and performant form handling with good DX and integration with Zod.
- next-seo: For setting structured SEO metadata across pages.
Backend
The backend is designed to prioritize performance, concurrency, and scalability, capable of supporting real-time flag resolution and event ingestion at scale.
Golang
Why Go? Golang is chosen for its simplicity, high concurrency support, and low memory footprint. It allows us to build high-performance services and asynchronous workflows (e.g., flag evaluations, Kafka consumers) with excellent stability and runtime efficiency.
Kafka
Why Kafka? Kafka serves as the event streaming platform to handle high-throughput telemetry such as flag evaluations, analytics tracking, and rollout events. It ensures decoupled architecture and reliable message delivery for observability and audit logging.
Redis
Why Redis? Redis is used for in-memory caching, pub/sub messaging, and fast storage of frequently accessed feature states. It improves flag resolution performance and supports edge-based strategies.
PostgreSQL
Why PostgreSQL? PostgreSQL provides a robust relational database foundation with excellent support for JSON, strong consistency, and indexing capabilities. It is used for storing flag configurations, environments, users, and audit logs.
Docker
Why Docker? Docker ensures consistent deployment environments and simplifies local development, testing, and CI/CD pipelines. All backend services are containerized and built for scalable deployments.
better-auth
Why better-auth? better-auth is used to provide authentication, role-based access control (RBAC), and multi-tenant user management in a flexible and customizable way. It supports OAuth, email/password, and token-based flows.
Infrastructure (Planned for cloud Release)
While the open-source version is self-hosted, the upcoming enterprise-grade cloud version will use a globally distributed infrastructure.
- Edge config delivery via CDN (e.g., Cloudflare Workers or Vercel Edge Functions)
- Observability stack (e.g., OpenTelemetry, Prometheus, Grafana)
- Rate-limiting and usage quotas using Redis or API gateways
- Background job queue with a task runner built in Go or using BullMQ with Redis
Summary
Flagpilot’s architecture is modular, scalable, and extensible by design. The selected technologies ensure:
- A smooth developer experience
- High availability and performance
- Easy integration with modern stacks
- A clear path to scale from open-source to enterprise
As the platform evolves, additional integrations, SDKs, and edge-delivery mechanisms will be introduced to support more use cases and greater reach.