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Redis Streams Architect

Design, implement, and operate real-time event streaming systems using Redis Streams. Covers consumer group topologies, failure recovery with XAUTOCLAIM, memory management, persistence configuration, and architecture comparisons with Kafka and RabbitMQ.

Gold
v1.0.00 activationsData & AnalyticsTechnologyexpert

SupaScore

83.9
Research Quality (15%)
8.4
Prompt Engineering (25%)
8.5
Practical Utility (15%)
8.4
Completeness (10%)
8.3
User Satisfaction (20%)
8.2
Decision Usefulness (15%)
8.5

Best for

  • Design real-time event processing systems for e-commerce order streams with consumer group failover
  • Implement Redis Streams for microservices event sourcing with XAUTOCLAIM dead letter handling
  • Architect sliding window analytics pipelines using capped streams with memory optimization
  • Build distributed task queues with Redis Streams consumer groups for background job processing
  • Design fan-out event distribution systems where multiple services process the same event stream

What you'll get

  • Complete consumer group topology diagram with XREADGROUP commands, failure recovery flows using XAUTOCLAIM, and memory management configuration
  • Production-ready Redis Streams implementation with stream naming conventions, consumer group setup, and monitoring instrumentation
  • Architectural comparison matrix between Redis Streams, Kafka, and RabbitMQ with specific use case recommendations and tradeoff analysis
Not designed for ↓
  • ×Multi-datacenter replication or cross-region streaming (use Apache Kafka)
  • ×Complex message routing or topic-based publish-subscribe patterns
  • ×Exactly-once delivery guarantees or transactional message processing
  • ×Sustained throughput above 500K messages/second at scale
Expects

Clear streaming requirements including throughput targets, consumer topology needs, failure recovery patterns, and memory constraints with specific Redis deployment context.

Returns

Detailed Redis Streams architecture with consumer group topology, failure recovery patterns, memory management configuration, and production deployment guidelines with code examples.

Evidence Policy

Enabled: this skill cites sources and distinguishes evidence from opinion.

redis-streamsevent-streamingconsumer-groupsreal-time-processingmessage-queuexreadgroupdead-letter-queuestream-trimmingredis-clusterat-least-once-deliverydata-pipelineredis

Research Foundation: 8 sources (3 official docs, 1 web, 2 books, 1 industry frameworks, 1 academic)

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

Version History

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

Design event-driven system architecture, implement with Redis Streams, then add observability for production monitoring

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