Building Real-Time Applications to Process Wikimedia Streams
Learn how to build a real-time application to process Wikimedia streams using Kafka and Hazelcast.

Learn how to build a real-time application to process Wikimedia streams using Kafka and Hazelcast.

Explore the combination of Hazelcast and Redpanda for high-performance, scalable, and fault-tolerant applications reacting to real-time …

Learn how to setup sticky sessions with Apache APISIX and replication involving the Spring ecosystem and Hazelcast.

Combining the strengths of vector databases and real-time stream processing is an efficient way of processing data in real-time at scale.

Hazelcast can process real-time and batch data in one platform, making it the right platform to use because it enriches your Kafka apps.
Learn how to treat logs and traces as part of a scalable cloud storage repository that can be analysed with the techniques used for big …

Learn to update a Java client to automatically connect to a secondary, failover cluster if it cannot connect to its original, primary …

Quickly learn how to connect Hazelcast Viridian to a Confluent Cloud Kafka cluster, and more! - by Fawaz Ghali

Hazelcast Serverless manages your Cloud infrastructure, handling resource isolation, resource stealing, and isolated network access.

Hazelcast kicks off 2023 to connect with community members and industry experts on the Future of Real-Time Stream Processing.