Java Caching Essentials

Unlocking Lower Latencies, Reducing Costs, and Enabling Agentic Architectures

Unlock faster, more scalable Java applications with this expert guide to Java caching. In this RefCard, Hazelcast Architect Granville Barnett introduces the fundamentals of caching and offers a deep dive into the JCache API (JSR 107)—Java’s standard caching specification.

Explore real-world examples of how to:

• Reduce latency and operational costs with intelligent caching strategies
• Use JCache for provider-independent, specification-compliant caching
• Optimize deployments with embedded, client-server, or hybrid caching architectures (see diagram below)
• Implement cache expiry, event listeners, entry processors, and JMX management
• Avoid vendor lock-in while building resilient, agentic architectures

Caching Deployment Strategies

Embedded

Client-Server

Embedded/Client-Server

These architectures can be combined to meet your latency, scalability, and resilience goals—whether you’re caching session data, accelerating distributed systems, or enhancing AI inference pipelines, this guide shows you how to do it right, fast, and at scale.

Download the RefCard to accelerate your Java app performance with best practices that go beyond basic caching.