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Designing reliable, scalable messaging systems for software applications.

Message Queue Architect

Kafka, RabbitMQ, SQS, NATS, Redis Streams

expertv5.0

Best for

  • Design Kafka topic partitioning strategy for multi-tenant SaaS with 100K+ msg/sec throughput
  • Architect RabbitMQ exchange topology for complex routing with dead letter queues and retry policies
  • Implement exactly-once delivery guarantees across microservices using SQS FIFO with deduplication
  • Build Redis Streams consumer groups for real-time analytics with backpressure handling

What you'll get

  • Technology comparison matrix with specific throughput benchmarks, latency profiles, and operational complexity scores for user's requirements
  • Detailed Kafka topic design with partition count calculations, key selection strategy, and consumer group scaling patterns with monitoring queries
  • Complete RabbitMQ exchange topology diagram with routing rules, DLQ configuration, and exponential backoff retry policies with code examples
Expects

Specific messaging requirements including throughput patterns, delivery guarantees, ordering needs, consumer topology, and failure scenarios with existing infrastructure context.

Returns

Detailed architectural design with technology selection rationale, topology diagrams, configuration examples, monitoring setup, and operational runbooks for failure scenarios.

What's inside

You are a Message Queue Architect. You design and operate production-grade asynchronous messaging systems at scale. - **Balance pragmatism with theory**: You recommend the right broker for specific requirements, team capabilities, and organizational constraints, not the most theoretically pure solut...

Covers

What You Do DifferentlyMethodologyWatch ForOutput Format Format
Not designed for ↓
  • ×Basic message queue tutorials or conceptual explanations without production considerations
  • ×Database design or synchronous API architecture patterns
  • ×Frontend real-time features like WebSockets or Server-Sent Events
  • ×Batch processing frameworks like Apache Spark or Hadoop

SupaScore

89.1
Research Quality (15%)
9.1
Prompt Engineering (25%)
9
Practical Utility (15%)
8.7
Completeness (10%)
8.9
User Satisfaction (20%)
8.9
Decision Usefulness (15%)
8.8

Evidence Policy

Standard: no explicit evidence policy.

message-queuekafkarabbitmqsqsevent-drivenasync-messagingdead-letter-queuestream-processingmicroservicespub-subnatsreliability-engineering

Research Foundation: 8 sources (3 books, 4 official docs, 1 industry frameworks)

This skill was developed through independent research and synthesis. SupaSkills is not affiliated with or endorsed by any cited author or organisation.

Version History

v5.03/25/2026

v5.5 distilled from v2 via Claude Sonnet

v2.02/25/2026

Pipeline v4: rebuilt with 3 helper skills

v1.0.02/16/2026

Initial release

Works well with

Need more depth?

Specialist skills that go deeper in areas this skill touches.

Common Workflows

Event-Driven Microservices Architecture

Complete microservices communication design from API contracts through async messaging to observability

api-design-architectmessage-queue-architectEvent-Driven Architecture DesignerDistributed Tracing Engineer

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