System Architecture Blueprint
This Atlas documents systems thinking and architectural doctrines: module boundaries, data flows, conscious technical trade-offs, fault tolerance, and performance budgets across shipped software.
Architecture is not defined by lines of code, but by explicit boundaries, conscious trade-offs, and fault-mode recovery strategies.
The Six Pillars of System Architecture
System Topology
Macro map of ecosystems, runtime clients, external services, dependencies, and boundary isolations.
- Strict runtime decoupling (Desktop, Mobile, Web)
- Dedicated high-throughput byte CDN (dlServer)
- Stateless microservice gateways over S3 storage
Architectural Patterns
Contextual implementation of Clean Architecture, MVI, Event-Driven streams, and decoupled micro-repositories.
- Clean Architecture with MVI/Flows in Android
- Decoupled domain CalculationEngine logic
- Finite-State Machine (FSM) in messaging daemons
Data Flow & Integration
End-to-end data pipelines: binary buffer parsing, memory caching, offline databases, and WebSocket sync.
- Reactive Kotlin Flow streams in Room SQLite
- Sub-30ms raw socket byte streams in Python
- Chunked HTTP/2 byte-range downloads on dlServer
Reliability & Security
Resilience against network partitions, 100% data privacy invariants, token authentication, and SHA-256 checks.
- Strict offline-first local database data sovereignty
- Cryptographic SHA-256 integrity verifications
- Biometric OS protection and encrypted OAuth tokens
Performance & Scalability
RAM heap optimization during large binary inspection, sub-16ms UI frame budgets, and zero-dependency socket servers.
- Asynchronous Web Worker parsing for 60fps canvas
- Socket buffer dropping strategy for sub-30ms video
- Lazy-loaded 3D WebGL scenes and chunked bundles
Architecture Decision Records
Formal recording of significant engineering choices, context, trade-offs, and long-term implications.
- ADR: Pure Python vs C++ bindings in socket bridge
- ADR: Standalone stream CDN vs Monolithic API
- ADR: Local Room database vs Cloud-hosted ledger
Documented System Entries (10-Step Architecture Template)
Every entry follows an immutable 10-step template analyzing initial constraints, component boundaries, failure modes, and trade-offs.
FontFlow Pro Multi-Surface Architecture
Scope: Desktop (Electron) · Web (React 19) · Android · CDN dlServer · CLITraditional font managers treat font binaries as opaque files. They lack deep vector inspection of variable font axes, detect duplicates by file name rather than table checksums, and pollute the Windows registry with permanent installations.
Must process heavy 10,000+ glyph fonts at 60fps without freezing the UI; support Windows, Android, and Web clients; decouple multi-gigabyte binary download traffic from the application database.
The Desktop workstation owns raw file-system I/O, binary table parsing, and in-memory font virtualization. The Web client handles metadata exploration. dlServer exclusively manages streamed binary downloads with byte-range requests and checksum verification.
1. Read font binary into memory via background Worker -> 2. Extract table headers and calculate SHA-256 checksum -> 3. Stream glyph vector coordinates to hardware-accelerated canvas -> 4. Chunked byte delivery from dlServer.
Isolating dlServer from the primary API prevents heavy concurrent multi-megabyte binary transfers from consuming primary database memory pools, ensuring API response times remain sub-100ms.
Corrupted font binaries: isolated in worker threads; the app recovers gracefully and displays raw metadata without crashing. Network partition: Desktop client operates 100% offline.
Benefits: High reliability, zero server database contention, clean OS registry. Costs: Maintaining independent repositories requiring disciplined release tagging and version contracts.
Monolithic single-repo architecture was evaluated but rejected due to release coupling risks between Windows desktop installers and edge web deployments.