π¨ The Problem
We started with a single Angular monolith:
- 25+ developers working in parallel
- Frequent merge conflicts
- Slow builds and deployments
- Tight coupling between features
π Result: Developer velocity dropped significantly
β οΈ Constraints
This wasnβt a greenfield rewrite.
- Business-critical product (no downtime allowed)
- Continuous feature delivery required
- Shared design system dependencies
- Large existing codebase
π We needed incremental evolution, not a rewrite
π§ The Decision
We moved to:
- Nx Monorepo
- Feature-based application split
- Library-driven architecture
ποΈ Target Architecture
π§© Architecture Strategy
1. Application Decomposition
We split the monolith into:
- 20+ feature-based applications
- Each owned by independent teams
π Enabled parallel development at scale
2. Library-First Design
We extracted shared logic into libraries:
- Core libs β used by most applications
- Feature libs β scoped to specific domains
- Utility libs β reusable helpers
π Designed using dependency graph principles
3. Dependency Optimization
Not all libs are equal:
- High-impact libs β stable, widely shared
- Low-impact libs β isolated to avoid rebuild cascade
π Prevented full repo rebuilds
βοΈ Tooling
- Framework: Angular
- Monorepo: Nx
- State: RxJS (reactive streams, not centralized store)
- Design System: In-house (Clarity-based)
π Execution Strategy
We followed an incremental migration:
- Identify bounded contexts
- Extract into libraries
- Create new applications
- Gradually route traffic
π Zero downtime migration
π Impact
Before
- Long build times
- Merge conflicts
- Tight coupling
After
- β‘ Faster builds (selective builds via Nx)
- π€ Reduced merge conflicts
- π Parallel team scalability
- π§© Clear ownership boundaries
π§ Key Learnings
πΉ Architecture is about boundaries
Folder structure β architecture
Clear ownership is the real scalability lever
πΉ Dependency graph matters more than code
How modules depend on each other defines performance
πΉ Monorepo β coupling
With proper boundaries, it enables:
- Faster builds
- Better reuse
- Stronger consistency
π Final Thought
Scaling frontend isnβt about adding more components
Itβs about designing systems that scale across teams
π Whatβs Next
- Explore how this integrates with Micro Frontends
- Compare with Module Federation approaches