Learn how to build a real-time application to process Wikimedia streams using Kafka and Hazelcast.
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When Speed Matters: Real-time Stream Processing with Hazelcast and Redpanda
Let’s explore the powerful combination of Hazelcast and Redpanda to build high-performance, scalable, and fault-tolerant applications that react to real-time data.
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Boosting Similarity Search with Real-time Stream Processing
Combining the strengths and advantages of vector databases and real-time stream processing provides a unique developer experience and an efficient way of processing data in real-time at scale.
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Enriching 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 applications with “context.”
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How 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 data.
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How to Create a Failover Client using 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 cluster.
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Streaming Real-Time Data on the Hazelcast Viridian Serverless
Quickly learn how to connect Hazelcast Viridian to a Confluent Cloud Kafka cluster, and more!
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How to Get Started with the Hazelcast Viridian Serverless
Hazelcast Serverless manages your Cloud infrastructure, handling resource isolation, resource stealing, and isolated network access.
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Announcing Real-time Stream Processing Unconference
I’m happy to share Hazelcast will be kicking off 2023 by hosting #RTSPUnconf to connect with community members and industry experts on the Future of Real-Time Stream Processing.
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Real-time Stream Processing with Hazelcast and StreamNative
Learn how to stream data from Apache Pulsar into Hazelcast, where you learn how to process data in real time.
