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Cache and Queue Scaling

Guidelines for horizontally scaling cache and queue systems used in high-load Java Spring Boot systems.

Cache (Redis)​

Scaling Options:​

  • Clustering: Partition keys across Redis nodes.
  • Read Replicas: For heavy read scenarios.
  • Eviction Policy: Set maxmemory-policy wisely.

Spring Boot Integration:​

spring:
  cache:
    type: redis
  redis:
    host: redis-cluster

Use Spring Cache abstraction with RedisTemplate or Lettuce client.

Message Queues (Kafka / RabbitMQ)​

Kafka Scaling:​

DimensionStrategy
ProducerIncrease batch size, acks
BrokerAdd brokers, balance load
ConsumerIncrease partitions

Spring Boot integrates via spring-kafka.

RabbitMQ Scaling:​

  • Use quorum queues for HA.
  • Separate workloads via routing keys.
  • Horizontal scale via federation / sharding plugin.

Tips​

  • Redis: INFO stats, eviction rate, latency.
  • Kafka: lag per partition, consumer group metrics.
  • Alert on queue length and retry spikes.
  • Document Version: 1.0
  • Date: 2025-06-24
  • Author: ArturChernets