
Explore scalable real-time trade data processing using Hazelcast and FINOS Perspective. Learn to architect high-performance applications combining streaming data, reference data, and machine learning for front and back office use-cases.

Explore real-time fraud detection challenges and solutions using machine learning and the Hazelcast Open Source platform for rapid, scalable decision-making.

Explore Hazelcast's cloud-native evolution, from caching to advanced stream processing, and discover upcoming features in this insightful tech talk.

Explore common pitfalls in distributed systems through Hazelcast's experiences, gaining insights for building robust architectures.

Explore Hazelcast's ecosystem beyond distributed caching, delving into advanced concepts like CRDTs, HyperLogLog, CP Subsystem, and real-time stream processing.

Explore distributed coordination using java.util.concurrent APIs implemented on Raft consensus, featuring code samples and insights on overcoming challenges in distributed environments.

Explore building lightweight, robust reactive systems using MicroProfile, RxJava, React.js, Kafka, and Hazelcast. Learn efficient assembly techniques with Payara Micro for scalable and evolving applications.

Learn to cluster MicroProfile applications using CDI and JCache. Explore live coding demos, Hazelcast integration, and running clusters on Raspberry Pi's for high availability and scalability.

Explore Payara's innovative approach to Java EE microservices, leveraging Hazelcast for powerful, lightweight solutions in this concise overview.

Explore distributed programming with Hazelcast, an open-source solution for easy scaling. Learn about data structures, partitioning, and practical applications in this informative talk.

Explore architectural patterns for distributed caching in microservices: Embedded, Client-Server, Kubernetes Sidecar, and Proxy Caching. Learn pros and cons to optimize your system's performance.

Explore CXL memory's impact on server systems through performance analysis of Meta's CacheLib and Hazelcast, examining bandwidth expansion and optimization strategies for next-gen memory architectures.

Explore the latest features and future developments of Hazelcast 5.2, gaining insights into its enhanced capabilities and potential applications.

Discover best practices for real-time stream processing, addressing challenges and optimizing projects for scalability, performance, failover, reliability, and data recovery using the Hazelcast platform.

Explore advanced caching strategies beyond basic operations, addressing challenges like invalidation and scaling. Learn effective design and implementation techniques for various use cases using Hazelcast managed service.

Dive deep into building distributed systems using pure Java, exploring underlying principles and algorithms beyond framework abstractions. Gain insights into REST, HTTP methods, and cluster state management.