Cheatsheet RabbitMQ

Fondasi RabbitMQ sebagai message broker, AMQP broker, routing engine, work queue system, pub/sub broker, task distribution system, dan integration component untuk enterprise Java/JAX-RS systems.

Mental model AMQP 0-9-1: producer, publisher, consumer, exchange, queue, binding, routing key, message, headers, properties, connection, channel, vhost, delivery tag, ack, nack, reject, redelivery, dan consumer tag.

Mental model arsitektur RabbitMQ sebagai broker runtime: node, cluster, vhost, topology, connection, channel, metadata store, plugin, policy, resource alarm, flow control, dan failure model untuk enterprise Java/JAX-RS systems.

Lifecycle message RabbitMQ dari Java/JAX-RS request, service layer, transaction boundary, publisher, exchange routing, queue enqueue, consumer delivery, processing, ack/nack/reject, retry, DLQ, TTL, expiry, dan tracing end-to-end.

Exchange types dan routing design RabbitMQ: default, direct, topic, fanout, headers, alternate exchange, plugin-based exchange, durability, auto-delete, internal exchange, exchange-to-exchange binding, routing key design, dan production review checklist untuk enterprise Java/JAX-RS systems.

Queue types RabbitMQ: classic queue, quorum queue, stream queue/RabbitMQ Stream, priority queue, lazy behavior, exclusive queue, auto-delete queue, temporary queue, durable/non-durable queue, single active consumer, queue leader, replication, migration, dan production review checklist.

Topology design RabbitMQ: binding, routing key, topic routing, command queue, event queue, work queue, reply queue, DLX, retry exchange, parking lot queue, per-service/per-consumer/per-tenant/per-priority topology, naming convention, ownership, documentation, dan production review checklist untuk enterprise Java/JAX-RS systems.

Fundamental publisher RabbitMQ untuk Java/JAX-RS systems: publisher lifecycle, ConnectionFactory, connection, channel, thread safety, channel reuse, message properties, content type, delivery mode, correlation ID, reply-to, expiration, priority, mandatory flag, immediate flag legacy awareness, return listener, publisher confirm awareness, publishing failure, dan publisher metrics.

Publisher reliability RabbitMQ untuk enterprise Java/JAX-RS systems: publisher confirms, mandatory publishing, alternate exchange, unroutable message detection, retry publish, duplicate publish, connection/channel failure, broker failover, confirm timeout, durability, persistence, producer idempotency, dan outbox-based publishing.

Fundamental consumer RabbitMQ untuk enterprise Java/JAX-RS systems: consumer lifecycle, basic consume, push consumer, pull/get anti-pattern awareness, delivery tag, consumer tag, manual ack, auto ack, nack, reject, requeue, prefetch, consumer cancellation, channel closure, connection recovery, concurrency, shutdown, dan metrics.

Consumer correctness RabbitMQ untuk enterprise Java/JAX-RS systems: at-least-once delivery, duplicate message, redelivery, idempotent consumer, idempotency key, inbox table, processed message table, business idempotency, technical idempotency, ack timing, crash windows, poison message, dan consumer PR review checklist.

Deep dive acknowledgement RabbitMQ untuk enterprise Java/JAX-RS systems: manual ack, auto ack, multiple ack, nack, reject, requeue true/false, dead-lettering, redelivery flag, delivery tag scope, same-channel rule, ack lost scenario, consumer crash, broker crash, redelivery storm, ordering impact, dan ack/nack review checklist.

Deep dive RabbitMQ prefetch, QoS, consumer throughput, fairness, slow consumer, fast producer, unacked messages, queue depth, consumer utilization, thread pool sizing, parallel processing, ordering vs concurrency, CPU-bound/IO-bound consumers, Kubernetes scaling, dan production tuning checklist untuk enterprise Java/JAX-RS systems.

Delivery semantics RabbitMQ untuk enterprise Java/JAX-RS systems: at-most-once, at-least-once, effectively-once, exactly-once illusion, publisher confirm, consumer acknowledgement, message persistence, queue durability, broker replication, idempotency, inbox/outbox, duplicate handling, lost message scenario, replay limitation, dan delivery semantics decision checklist.

Ordering guarantees RabbitMQ untuk enterprise Java/JAX-RS systems: queue FIFO, single consumer, multiple consumer ordering risk, prefetch, redelivery, requeue, priority queue, retry queue, quorum queue, stream ordering, per-aggregate ordering, message group pattern, single active consumer, dan ordering review checklist.

Retry dan dead-letter strategy RabbitMQ untuk enterprise Java/JAX-RS systems: transient failure, permanent failure, poison message, retry count, retry delay, exponential backoff, TTL-based retry, delayed exchange retry, DLX, DLQ, parking lot queue, retry headers, x-death header, manual replay, automated replay, infinite retry prevention, dan production review checklist.

TTL, expiration, queue expiry, dead-letter exchange, dead-letter routing key, x-death header, expired message, rejected message, queue length limit, overflow behavior, max length, drop-head, reject-publish, TTL retry topology, TTL failure modes, dan production review checklist untuk enterprise Java/JAX-RS RabbitMQ systems.

Request-reply dan RPC pattern dengan RabbitMQ untuk enterprise Java/JAX-RS systems: reply queue, direct reply-to, correlation ID, timeout, duplicate reply, lost reply, consumer cancellation, synchronous API over async broker, backpressure risk, anti-pattern awareness, dan production review checklist.

Work queue dan task distribution pattern dengan RabbitMQ untuk enterprise Java/JAX-RS systems: competing consumers, fair dispatch, long-running task, acknowledgement discipline, prefetch, worker concurrency, retry, timeout, cancellation, idempotent job, progress tracking, prioritization, starvation, Kubernetes scaling, dan production review checklist.

Pub/sub event distribution pattern dengan RabbitMQ untuk enterprise Java/JAX-RS systems: fanout event, topic event, per-subscriber queue, event ownership, routing key, schema governance, subscriber isolation, slow subscriber, durable subscription, temporary subscription, replay limitation, compatibility, retry/DLQ, observability, dan production review checklist.

Message contract dan schema governance untuk RabbitMQ-based enterprise Java/JAX-RS systems: payload schema, JSON, Avro/Protobuf/JSON Schema jika digunakan, content type, schema version, event/command version, compatibility, deprecation, AsyncAPI, contract testing, dan production review checklist.

Message metadata dan traceability untuk RabbitMQ-based enterprise Java/JAX-RS systems: message ID, correlation ID, causation ID, trace ID, traceparent, tenant ID, actor ID, source service, message type/version, timestamps, retry count, routing metadata, auditability, distributed tracing, dan production debugging checklist.

Transactional outbox untuk RabbitMQ-based enterprise Java/JAX-RS systems: outbox table, same DB transaction, polling publisher, publisher confirm integration, mark published, publish retry, duplicate publish, SKIP LOCKED, cleanup, retention, observability, PostgreSQL/MyBatis integration, dan production review checklist.

Inbox pattern untuk RabbitMQ-based enterprise Java/JAX-RS systems: inbox table, processed message ID, deduplication key, consumer idempotency, processing status, retry state, payload storage, poison message tracking, replay handling, cleanup, retention, PostgreSQL transaction, MyBatis/JDBC integration, observability, dan production review checklist.

Saga, workflow, dan orchestration dengan RabbitMQ untuk enterprise Java/JAX-RS systems: choreography, orchestration, command/event/reply message, compensation, timeout, expiry, human intervention, saga state table, correlation ID, lost reply, duplicate command, stuck saga, observability, dan design review checklist.

RabbitMQ dalam konteks CPQ dan order management: quote command, quote event, order command, order event, pricing job, approval task, fulfillment task, fallout task, notification task, integration message, state transition message, order decomposition, downstream system message, business invariant, duplicate command risk, dan internal verification checklist.

RabbitMQ Stream mental model: stream vs queue, retention, offset, stream publisher, stream consumer, consumer store, replay, super stream, partitioned stream, filtering awareness, stream protocol, performance, Kafka comparison, and production review checklist.

RabbitMQ classic queue behavior: FIFO delivery model, queue index, message store awareness, persistent vs transient messages, lazy behavior, queue length, priority queue, single active consumer, classic queue performance, classic queue HA legacy awareness, failure modes, migration considerations, and production review checklist.

RabbitMQ quorum queue mental model: Raft, leader/follower replication, write quorum, leader election, delivery limit, poison message handling, at-least-once dead-lettering, storage, memory, performance, failover, migration, and production review checklist.