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Define a measurable convergence contract for event-driven Spring Boot services, protect projections from duplicate and stale events, provide read-your-writes behavior, reconcile durable state, and repair drift safely.
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Choose Redis data structures deliberately in Spring Boot, implement atomic sliding-window rate limits, recover Redis Stream consumers, share web sessions, build leaderboards and approximate counters, and operate Redis without turning it into an accidental source of truth.- Published on
Build a production-oriented gRPC service with Spring Boot 4.1, evolve Protocol Buffer contracts safely, enforce deadlines, map failures to status codes, test with an in-process transport, and decide where Java virtual threads actually help.- Published on
Decide when PostgreSQL sharding is justified, choose a stable shard key, route Spring Boot transactions safely, preserve uniqueness and idempotency, plan cross-shard queries, and migrate data without losing writes.- Published on
Design a recoverable Spring Kafka consumer by classifying failures, bounding retries, preserving record context, making database effects idempotent, testing rebalances and poison records, and rehearsing DLT replay.