RHRipan Halder Résumé ↓

System design

Architecture patterns that stay calm under pressure.

A practical map of service boundaries, data ownership, asynchronous workflows, idempotency, caching, observability and graceful degradation.

The reliability model

Reliable systems combine multiple controls. No single queue, database or cloud service creates resilience on its own.

01 · Entry

Controlled gateways

Authentication, rate limits, request shaping and routing are applied before traffic reaches domain services.

02 · Domain

Focused service ownership

Each service owns a clear business capability and the data required to preserve its invariants.

03 · Messaging

Asynchronous boundaries

Kafka, RabbitMQ, SNS and SQS buffer spikes and allow slow or failed dependencies to recover without blocking every caller.

04 · Data

Authoritative writes, optimized reads

Transactional stores remain the source of truth, while Redis and read models absorb frequent query traffic.

05 · Failure

Idempotency and retries

Idempotency keys, bounded retries and dead-letter handling make duplicate delivery safe and operationally visible.

06 · Operations

Observability as architecture

Correlation IDs, structured logs, metrics, traces and alerts are designed into the request flow.

Choose synchronous calls deliberately

Use synchronous communication when the caller needs an immediate authoritative answer. Keep call chains short, apply timeouts and avoid making one user request depend on an uncontrolled number of downstream services.

Use events for decoupling—not as decoration

Events are valuable when work can complete later, multiple consumers need the same fact, or downstream capacity varies. Each event needs a clear schema, ownership, retry policy and idempotent consumer behavior.

Define consistency per workflow

Financial balances may require strong invariants, while notification delivery can tolerate eventual consistency. A mature design states these requirements explicitly instead of applying one consistency model everywhere.

Design for load and recovery

Horizontal scaling helps only when state, partitions, caches and external dependencies are considered. Performance tests should include downstream slowness, queue buildup and restart recovery—not only ideal request throughput.

Security and compliance

Authentication, authorization, secrets management, encryption, audit records and location or fraud checks belong in the architecture model. They should not appear as an appendix after the system is built.