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High-Concurrency SystemsLed by Anand Mohan Sharma (SDE II, JNU MCA AIR 63)

Backend & Distributed Systems Architecture

High-throughput microservices, API gateways, database optimization, and resilient event-driven data streaming.

Practice Overview

We architect, build, and optimize backend systems designed for high concurrent throughput, minimal p99 latency, and fault tolerance. From legacy monolith decoupling to greenfield microservices, we build reliable backends that scale gracefully as traffic surges.

Core Engineering Capabilities

  • High-Concurrency Microservices: Enterprise Java 21 / Spring Boot 3 and Python FastAPI distributed services.
  • Event-Driven Streaming Pipelines: High-volume message brokering with Apache Kafka, RabbitMQ, and asynchronous job queues.
  • Database Engineering & Query Tuning: PostgreSQL, MySQL, and MongoDB index optimization, execution plan tuning, and connection pooling.
  • Distributed Caching & Session Stores: Redis cache clusters, write-through caching, and cache invalidation strategies.
  • Multi-Cloud Storage Abstraction: Unified REST interfaces abstracting Cloudflare R2, AWS S3, and Google Drive.

Primary Technologies

Java 21Spring Boot 3Python FastAPIApache KafkaRedisPostgreSQLDockerAWS ECSOpenTelemetry

Industry Best Practices Guaranteed on Every Project

We uphold rigorous engineering standards across architecture, security, automation, and code cleanliness on every engagement:

Domain-Driven Design (DDD) & Hexagonal Architecture

Decoupling domain business models from infrastructure, frameworks, and network adapters to keep core business logic pure and testable.

Resilience Engineering & Circuit Breaking

Implementation of Resilience4j circuit breakers, rate limiters, bulkhead isolation, and exponential backoff retries with jitter for all partner dependencies.

Distributed Tracing & Structured APM Observability

OpenTelemetry distributed trace propagation, structured JSON logging with correlation IDs, and real-time p95/p99 latency alerting.

High-Performance Connection & Thread Management

HikariCP connection pool tuning, non-blocking asynchronous event loops, prepared query statements, and read-replica offloading.

Zero-Trust Machine-to-Machine Security

Mutual TLS (mTLS) for inter-service communication, HMAC-signed webhooks, rotating service API keys, and principle of least privilege.

Idempotency & Safe Retries

Idempotency keys on state-mutating endpoints to prevent duplicate charges or double policy issuance under network failure retries.

Verified Project Proof Point

Enterprise Case: Hero Insurance Broking (HIBL)Explore HIBL Distributed Architecture →

Distributed insurance quotation and policy issuance microservices integrating real-time partner carrier APIs with event streaming.

Discuss Your Architecture Requirements

Have a technical product to build, a distributed backend to scale, or an existing architecture requiring an expert review? Reach out directly.