Fawaz Ghali
5,492 viewsBuilding Real-Time Applications to Process Wikimedia Streams
Learn how to build a real-time application to process Wikimedia streams using Kafka and Hazelcast.
Category
Hazelcast
Fawaz Ghali
5,492 views
7,121 viewsReal-time Stream Processing with Hazelcast and Redpanda
Explore the combination of Hazelcast and Redpanda for high-performance, scalable, and fault-tolerant applications reacting to real-time …
Nicolas Frankel
2,261 viewsSticky sessions with Apache APISIX - the demo
Learn how to setup sticky sessions with Apache APISIX and replication involving the Spring ecosystem and Hazelcast.
Fawaz Ghali
3,695 viewsBoosting Similarity Search with Real-time Stream Processing
Combining the strengths of vector databases and real-time stream processing is an efficient way of processing data in real-time at scale.
Fawaz Ghali
4,040 viewsEnriching Kafka Applications with Contextual Data
Hazelcast can process real-time and batch data in one platform, making it the right platform to use because it enriches your Kafka apps.
Fawaz Ghali
4,772 viewsHow to Build and Deploy a Real-time Cloud-based Logging System
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 …
Fawaz Ghali
3,495 viewsFailover Client with the Hazelcast Viridian Serverless
Learn to update a Java client to automatically connect to a secondary, failover cluster if it cannot connect to its original, primary …
Fawaz Ghali
4,347 viewsHow to Get Started with the Hazelcast Viridian Serverless
Quickly learn how to connect Hazelcast Viridian to a Confluent Cloud Kafka cluster, and more!
Fawaz Ghali
3,006 viewsHow to Get Started with the Hazelcast Viridian Serverless
Hazelcast Serverless manages your Cloud infrastructure, handling resource isolation, resource stealing, and isolated network access.
Fawaz Ghali
3,435 viewsAnnouncing Real-time Stream Processing Unconference
Hazelcast kicks off 2023 to connect with community members and industry experts on the Future of Real-Time Stream Processing.