System Design
Deep dives on distributed systems, event-driven design, observability, and the hard lessons from 10+ years building production backend systems in fintech, banking, and gaming.
Featured
Patterns, Pitfalls, and Production Lessons
A deep-dive into building resilient event-driven architectures with Kafka — covering topic design, consumer group strategies, exactly-once semantics, and hard-won lessons from fintech production systems.
Partitioning, Performance Tuning, and Fault Tolerance at Scale
How to design and tune Spring Batch jobs that process millions of records reliably — covering partitioned steps, chunk sizing, restart semantics, and the monitoring setup that keeps batch jobs observable in production.
Logs, Metrics, Traces — Building the Three Pillars
How to instrument Spring Boot microservices for production observability: structured logging with Splunk, metrics with Micrometer and Dynatrace, and distributed tracing — learned from supporting fintech and gaming platforms in production.
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Practical guide to Redis in production microservices: when to cache, how to invalidate, handling cache stampedes, and the patterns that kept gaming sessions fast and payment idempotency checks reliable.
Layered API security architecture for production microservices — from OAuth scopes at the edge to mTLS for service-to-service communication, with practical patterns from Mastercard-scale fintech systems.