System Architecture & Service Mesh
observability deck displaying cross-system dependency mappings, message brokers, caching boundaries, and real-time execution flows. Click any interactive node below to inspect details.
// INTERACTIVE_DEPENDENCY_MESH CLICK_NODES_TO_INSPECT
Select Node
Click on any system component block in the service topology graph to display its production metrics, ports, active bindings, and operational role.
// 01 // Fail-Closed Deterministic Fast Path
Distributed systems incorporating heavy analytical routines or third-party AI calibration endpoints (like NVIDIA NIM, Gemini, or Groq) must prevent downstream failures from locking execution.
"Core execution paths must operate independently of AI availability."
The derivative pipeline resolves this by running technical indicators (VWAP, EMA, ATR) and risk management boundaries in a deterministic C# thread ring. High-latency model checks execute out-of-process, asynchronously. If the AI model fails or experiences network timeout thresholds, the order execution gate fails closed but remains operational, discarding the sentiment indicators.
// 02 // Allocation-Free Edge Telemetry
Ingesting continuous bursts of 12,000+ spatial coordinates per second from industrial RFID hardware creates immense memory pressure. Allocating text strings for JSON parsing fills the heap quickly, triggering Garbage Collection pauses.
"Span<T> slices buffers without creating short-lived heap references."
The RFID middleware utilizes ReadOnlySpan<char> to parse raw hex payloads directly in the socket receive buffer. In conjunction with WolverineFx buffer recycling and EF Core `AsNoTracking()` prunings, the platform eliminates Gen 2 GC pauses entirely, preserving processing speed.
// 03 // Lock-Free Rollback State Swapping
Emulation frames rendered at 60Hz require sharing 240KB buffers between Dart/Flutter (UI) and Rust (Core) without lock contention. Spawning Mutexes leads to lock starvation on the thread boundary.
"Atomic primitives coordinate state snapshots across FFI boundaries."
The rollback sync engine tracks inputs via bare CPU atomic directives (AtomicU16). Frame buffers are swapped using zero-copy FFI pointers. If input frames mismatch, the engine deserializes the closest snapshot binary using bincode, re-rendering in microseconds.
// 04 // Transactional Outbox Pattern
Traditional distributed transactions (2-Phase Commit) create single points of failure. If the message broker (RabbitMQ) lags, the API thread freezes.
"WolverineFx enforces local transactions before queue dispatch."
The systems utilize local databases as durably transactional outboxes. Outbound events are written in the same transaction as local records. A background sweep daemon continuously drains the outbox to RabbitMQ, maintaining eventual consistency under node failure.
// ARCHITECTURE DECISION RECORDS (ADR)
Official design records documenting critical design decisions, trade-offs, and technology choices for core infrastructure services.
// Project: TradingBot
Chosen for lower CPU overhead under 1GB RAM budget. Kafka requires a heavy JVM environment (Zookeeper/KRaft) that consumes 250MB+ base RAM. RabbitMQ-Alpine operates stably at ~120MB, supporting flexible AMQP routing keys.
Bypasses standard serialization and socket FFI overhead. CSnakes initializes CPython inside the .NET host process, reducing Greeks pricing latency to 38μs (compared to 2.4ms FastAPI HTTP loops).
Utilized with pgvector for tracking trading signals and historical timeseries NIFTY spot metrics, eliminating the need to manage separate VectorDB and Timeseries nodes.
Avoids variable cloud function latency and cold-starts. Deployed inside Docker containers on a fixed-cost $8.50 VPS to ensure deterministic execution loops.
// Project: RFID Platform
Provides low-latency, WebSocket-based multiplexed channels to Flutter and Blazor clients, bypassing periodic polling requests that flood database connection pools.
Redis is configured with allkeys-lru (64MB memory limit) to cache transient gate reads. This prevents continuous database writes, handling raw tag surges without locking PostgreSQL row buffers.
Decouples retry logic from main client flows. Failures to sync specific gates spawn background Hangfire jobs with exponential backoffs, keeping the telemetry pipeline unblocked.
Parses continuous hex streams from RFID TCP listeners in place within socket buffers, preventing heap allocations and eliminating Gen 2 GC pauses.
// Project: RustEmu
Selected for strict memory safety, lack of a GC runtime, and predictable performance. Allows loading snapshots and replaying frames within the 16.6ms NTSC budget.
Split into `contra_core` (Rust emulator core) and `contra_ui` (Flutter app). Flutter handles user inputs and view rendering, while Rust coordinates time-locked emulation.
Frame buffers are swapped over the FFI boundary via raw C pointers, avoiding expensive memory copies. Flutter reads the active buffer directly, achieving a stable 60 FPS.