post://production-ml-inference-at-scale
Production ML Inference at Scale: Design Patterns and Pitfalls
How to design low-latency, high-throughput ML inference services with observability, fallback, and rollback strategies.
~/blog/category/system-design
post://designing-multi-tenant-saas-backend
Designing a Multi-Tenant SaaS Backend
Isolation models, auth boundaries, noisy-neighbor protections, and tenant-aware observability.
post://event-driven-architecture-kafka-contracts
Event-Driven Architecture: Kafka Topics, Contracts, and Replays
How to model event contracts, partition strategy, and replay-safe consumers in production.
post://api-rate-limiting-token-vs-leaky-bucket
API Rate Limiting Strategies: Token Bucket vs Leaky Bucket
Compare rate limit algorithms and implementation trade-offs for distributed backends.
post://distributed-caching-redis-consistency
Distributed Caching with Redis: Consistency and Expiration Design
Read-through/write-through patterns, stampede control, and cache invalidation in real systems.
post://observability-for-microservices
Observability for Microservices: Logs, Metrics, and Traces
Designing actionable telemetry and alerting that reduces MTTR in distributed systems.
post://system-design-interview-framework
System Design Interview Framework: From Requirements to Trade-offs
A reusable framework to solve large-scale architecture questions with clarity and confidence.
