Build a stateful Kafka Streams application with event-time windows, local RocksDB stores, changelog recovery, exactly-once Kafka processing, and an idempotent PostgreSQL materialized view.
Use Redisson locks safely in Spring Boot by choosing the right transaction boundary, understanding watchdog and lease behavior, enforcing idempotency, and adding fencing tokens for stale lock holders.
Plan an expand-migrate-contract rollout for PostgreSQL and Kafka with compatible Spring Boot deployments, chunked backfills, transactional outbox or CDC, validation gates, and safe cleanup.
Instrument a Spring Boot service with Prometheus metrics, native structured logging, OpenTelemetry tracing over OTLP, safe cardinality rules, and a practical Grafana observability workflow.
Persist external-call intent with business data, claim work safely across replicas, classify retries, handle ambiguous HTTP outcomes, and use Kafka only through a durable outbox or CDC boundary.