Production Systems & Architecture

Engineering projects built for scale, concurrency & reliability.

A deep dive into backend services, distributed systems, streaming architectures, and asynchronous workers engineered with Go and Python.

Primary Stack Go & Python
Protocols gRPC / REST / WS
Data & Cache PostgreSQL / Redis
Event Broker Kafka / Redis Streams
Go Distributed Gateway Active Architecture

High-Throughput gRPC Event Gateway

Technical Review

A low-latency telemetry ingestion service written in Go. Implements custom worker pool patterns, binary Protobuf serialization, and zero-allocation buffer pools to consume, validate, and broadcast incoming metric streams into partitioned Redis Stream queues.

Architecture Highlights

  • ▸ Bounded Goroutine worker pools preventing memory bloat under load spikes
  • ▸ Bidirectional gRPC streaming with protobuf payload schema validation
  • ▸ Atomic backpressure monitoring and graceful degradation triggers
internal/stream/dispatcher.go go1.22 
type Dispatcher struct {
  workers   chan chan Event
  workerPool chan chan Event
  maxWorkers int
}
// Non-blocking channel distribution
select {
case worker <- event:
default:
  metrics.DroppedEvents.Inc()
}
Go gRPC Protobuf Redis Streams Docker
Sub-millisecond P99 Ingestion Latency
Python Async Processing & ETL Production Pipeline

Asynchronous Data Extraction & Normalization Cluster

Technical Review

A high-volume ETL and unstructured web payload processor constructed with FastAPI, Celery, and Redis. Features automated schema inferencing, dead-letter queue recovery mechanisms, and bulk vector batching into PostgreSQL with pgvector.

Architecture Highlights

  • ▸ AsyncIO non-blocking HTTP fetchers with adaptive domain rate-limiting
  • ▸ Distributed Celery task orchestration across multi-node worker pools
  • ▸ Pydantic v2 strict serialization models for high-speed record validation
tasks/pipeline_worker.py python3.12 
@celery_app.task(bind=True, max_retries=3)
async def process_document_batch(self, batch_id: str):
    async with db_pool.acquire() as conn:
        records = await extractor.fetch(batch_id)
        validated = [RecordSchema.model_validate(r) for r in records]
        await bulk_upsert(conn, validated)
Python FastAPI Celery AsyncIO PostgreSQL
Automated Fault Recovery & Retries
Go Middleware & Security High Concurrency

Distributed Rate Limiter & Token Bucket Daemon

Technical Review

A high-performance standalone rate-limiting engine implementing sliding window logs and leaky bucket algorithms in Go. Designed as a microservice sidecar with sub-millisecond evaluation times over Unix domain sockets or HTTP/2.

Architecture Highlights

  • ▸ Atomic Redis Lua scripts eliminating race conditions in distributed clusters
  • ▸ In-memory L1 cache with lock-free atomic counters for ultra-hot tenants
  • ▸ Configurable tiered quotas per API key with instantaneous hot reload
limiter/sliding_window.go go1.22 
func (rl *Limiter) Allow(ctx context.Context, key string) (bool, error) {
  now := time.Now().UnixNano()
  res, err := rl.luaScript.Run(ctx, rl.rdb, []string{key}, now, rl.window, rl.limit).Result()
  if err != nil {
    return true, err // Fail-open safety
  }
  return res.(int64) == 1, nil
}
Go Redis Lua HTTP/2 Prometheus Chi Router
Atomic Sliding Window Precision
Python & Go Event Driven Core Enterprise Microservice

Event-Driven Webhook Dispatcher & Audit Log

Technical Review

A hybrid architecture coupling a Python Django management control plane with a high-throughput Go dispatch agent for signed HMAC webhook delivery. Features exponential backoff, circuit breaking for flaky destination endpoints, and tamper-evident audit logging.

Architecture Highlights

  • ▸ Go dispatchers consuming partitioned Kafka topics with manual offset commits
  • ▸ HMAC-SHA256 signature verification and replay attack prevention headers
  • ▸ Django REST API providing tenant provisioning and delivery telemetry
webhook/signer.go crypto/hmac 
func SignPayload(secret, payload []byte, timestamp int64) string {
  mac := hmac.New(sha256.New, secret)
  fmt.Fprintf(mac, "t=%d.%s", timestamp, payload)
  return hex.EncodeToString(mac.Sum(nil))
}
Python Go Kafka PostgreSQL HMAC-SHA256
Guaranteed At-Least-Once Delivery

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