Production Systems, Distributed Pipelines & Scoped Contracts

Below is a comprehensive catalogue of real-world production systems architected and delivered by Abu Hanif (MD Abu Hanif Mia). Every project details the engineering challenge, architectural topology, technology stack, and verified production SLA outcomes.

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Showing 7 of 7 production architectures

Interactive Architecture Topology Viewer

Real-Time Telemetry Pipeline (12M Events/s)

Click on any architectural node below to inspect throughput budgets, technology choices, and failover mechanics:

Go Ingestion Pool(Go 1.23 • Lock-free Ring Buffers)
⚡ 48 worker goroutines per core⏱️ < 3ms normalization
Architectural Decision Rationale

Utilizes CSP concurrency and zero-allocation memory pools to prevent garbage collection pauses during volume spikes.

High-Availability & Failure Resiliency

Worker pool isolation: one exchange buffer overflow does not degrade adjacent worker channels.

PostgreSQL Query Tuning Case Study Explorer

High-Concurrency Production Optimization • 4.2M Records Table

The Solution: Designed a concurrent composite partial covering index and rewritten CTE that satisfies the query entirely from RAM without touching the heap.
-- Specialized Composite Partial Covering Index
CREATE INDEX CONCURRENTLY idx_orders_settled_recent
ON orders (user_id, created_at DESC)
INCLUDE (amount)
WHERE status = 'settled';

EXPLAIN ANALYZE:
-> Index Only Scan using idx_orders_settled_recent (cost=0.43..12.45 rows=482 width=24)
    Buffers: shared hit=42 read=0, temp written=0
    Execution Time: 3.82 ms (326x faster)
Execution Time3.8 ms (326x)
Disk Temp Spills0 KB (100% RAM)
Database CPU< 6% Flat
Discuss a Project

Need a high-throughput API, database performance audit, or Next.js edge platform architected to strict performance SLAs?

Typical response within 24 hours.
Architecture Specialties
  • Distributed Pipelines (Go, Kafka, Redis)
  • Next.js 16 Edge Deployments (Cloudflare)
  • PostgreSQL Query Optimization (EXPLAIN ANALYZE)
  • Enterprise Search & RAG (pgvector)
  • High-Concurrency WebSocket Fan-Out
Client Feedback
“Abu Hanif transformed our core telemetry architecture in three weeks. Cut P99 latency by 75% and reduced our infrastructure bill by 64%.”
- VP of Engineering, Apex Telemetry Labs
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Technical Consultationabuhanifmain@gmail.com
+880 1700-000000

Have an architectural bottleneck or ambitious technical roadmap? Get in touch with Abu Hanif directly for a scoping discussion.