# LightCavalry — Systems Engineering Studio

> LightCavalry designs and builds change-making systems architecture that survives the volume you never saw coming. Built for established businesses and high-growth platforms whose scale has outgrown their foundations.

- **Domain**: https://lightcavalry.dev
- **Core Philosophy**: High-throughput distributed systems, zero mocks, provable SLAs, Cloudflare edge-native computing.
- **Verification**: 973 verified DDIA (Designing Data-Intensive Applications) architectural specifications across 14 chapters.
- **Founder & Principal Architect**: Sohel Ahmed Joni (Dhaka / Global)

## Core Capabilities & Disciplines

- **High-Throughput Edge Architecture**: Sub-10ms global edge routing, streaming state machines, and Durable Objects state isolation.
- **Distributed Consensus & Coordination**: Raft-backed state machines, multi-region lease management, and vector clock causal ordering.
- **Conflict-Free Replicated Data Types (CRDTs)**: State-based (Pn-Counter, LWW-Element-Set) and operation-based CRDTs for collaborative, offline-first systems.
- **SSTable / LSM-Tree Storage Engines**: Append-only write paths, memtables, SSTable compaction with Bloom filter lookups.
- **Distributed Transaction Protocols**: 2-Phase Commit (2PC), Saga orchestrators, and idempotent Outbox event delivery.
- **Tail Latency Profiling**: HdrHistogram p99.99 latency bounding and non-blocking backpressure queues.
- **Incremental Graph Evaluation**: Directed acyclic graph (DAG) topological dependency schedulers with cycle protection.

## Core Architectural Proofs (Frame 03)

1. **Raft Distributed Consensus**: 5-node cluster with randomized election timeouts, split-vote mitigation, and committed log replication.
2. **State-Based CRDTs**: Strong eventual consistency across partitioned nodes with monotonic merge lattice.
3. **Log-Structured Merge Tree (LSM)**: High-write throughput storage with bounded disk amplification.
4. **Distributed 2-Phase Commit (2PC)**: ACID cross-partition atomic transactions with coordinator failure recovery.
5. **Vector Clocks**: Causal dependency tracking across concurrent distributed actors.
6. **Leaky Bucket Token Rate Limiting**: Distributed sliding-window traffic shaping with microsecond burst tolerance.
7. **Tail Latency Profiling**: Continuous p99/p99.9/p99.99 latency tracing.
8. **DAG Dependency Execution**: Topological graph evaluation engine for complex pipelines.

## Architectural Verification & DDIA Specs

The studio maintains an open reference implementation of Martin Kleppmann's *Designing Data-Intensive Applications* patterns verified on modern Cloudflare Workers and Durable Objects:
- **Repository**: https://github.com/lightcavalry/ddia-on-cloudflare
- **Specs**: 973 automated tests passing in zero-mock simulation harnesses.

## Engagement Models

1. **Architecture Diagnostic / Audit (2–4 weeks)**: Full-stack bottleneck teardown, tail latency audit, and zero-mock resilience specification.
2. **System Build & Migration (3–6 months)**: End-to-end edge-native implementation, distributed state migration, and live cutover.
3. **Embedded Principal Partnership (6–12 months)**: Dedicated systems architecture leadership for high-volume scale milestones.

## Discovery & Agent Endpoints

- **Full Documentation**: https://lightcavalry.dev/llms-full.txt
- **Machine Index (JSON)**: https://lightcavalry.dev/index.json
- **Markdown Landing**: https://lightcavalry.dev/index.md
- **Systems Architecture**: https://lightcavalry.dev/systems.md
- **DDIA Verification**: https://lightcavalry.dev/ddia.md
- **Studio Manifesto**: https://lightcavalry.dev/manifesto.md
- **Sitemap**: https://lightcavalry.dev/sitemap.xml
- **API Health**: https://lightcavalry.dev/api/health
- **Contact / Brief**: cavalry@lightcavalry.dev