
Master stream processing fundamentals and advanced concepts using Redpanda and Apache Flink, from stateless operations to fault tolerance, followed by hands-on application building and deployment in Java.

Develop a houseplant soil alerting system using ksqlDB, exploring practical pipeline implementation for real-time data processing and monitoring.

Develop ML-enhanced event streaming applications using Python microservices, exploring real-time data processing and machine learning integration.

Explore Kappa architecture, stream processing, and LLM integration for innovative application development. Learn to build scalable systems leveraging real-time data and AI capabilities.

Explore event-driven systems, Apache Pulsar's unique capabilities in cloud-native applications, and its advantages over Apache Kafka. Learn about integrating Pulsar with Spring framework.

Explore building a real-time drone delivery app using Cadence and Apache Kafka, then apply TensorFlow for machine learning on streaming data to predict busy shops.

Explore a system predicting pollution levels using Kafka Streams, based on historical and current weather data. Learn from WorldRemit's open-source project for practical machine learning applications.

Explore event streaming's potential to revolutionize data processing and integration across diverse systems, enhancing real-time decision-making and operational efficiency.

Explore Spring Cloud Stream's evolution, current capabilities, and future developments for building message-driven microservices with ease.

Explore KRaft, Kafka's new architecture without Zookeeper. Learn its benefits, internal workings, monitoring metrics, troubleshooting tools, and future roadmap.

Explore Kafka's replication protocol, its role in data durability and high throughput, and learn about KRaft controllers for quorum-based replication in distributed systems.

Discover how to enhance Apache Kafka's elasticity using cloud-native technology. Learn about stateless Kafka Broker architecture, Elastic Stream, and cost-saving strategies for cloud infrastructure.

Harness Generative AI Functions in Apache Kafka and Pulsar for real-time AI applications. Explore Vector Search, Computing Embeddings, and Chat Completion use cases with a live demonstration.

Explore key metrics for monitoring Kafka at scale, focusing on lag performance. Learn to interpret indicators, create dashboards, and set up proactive alerts for effective troubleshooting.

Discover insights on architecting complex distributed systems using multiple open-source big data technologies. Learn from real-world examples in IoT, fintech, and more.

Explore cosmic Kafka mysteries: cluster sizes, scalability, and performance prediction. Gain insights into Kafka's behavior and optimization techniques for developers and operators.

Design, implement, and maintain scalable lakehouse architectures using Apache Spark, Kafka, Flink, Delta Lake, AWS, and open-source tools. Enhance data potential through advanced analytics and machine learning.

Build high-performance Kafka-based event-driven architectures using Quarkus and MicroProfile Reactive Messaging. Learn through live coding, showcasing patterns and development techniques.

Explore sentiment analysis using Kafka and AI/ML with Red Hat technologies through an interactive demo of a retail customer use case.

Discover how Cruise Control optimizes Kafka clusters, maximizing hardware resources and simplifying management with AMQ Streams operator.

Explore and compare key microservices transport protocols: REST, gRPC, GraphQL, and Kafka. Gain insights into their strengths, weaknesses, and optimal use cases for efficient system design.