
Learn to create embedded, reactive visualizations for augmented reality using RagRug, an open-source toolkit integrating Unity, Node-RED, and JavaScript for seamless situated analytics development.

Explore techniques for building fully reactive applications using Spring WebFlux and React. Learn to stream data to the UI for constant updates in this live coding session with Q&A.

Explore full-stack reactive programming using Spring WebFlux and React, with live coding demonstrations and expert insights on streaming data, UI updates, and building resilient systems.

Optimize Apache Kafka performance using Oracle GraalVM Enterprise for enhanced speed and efficiency in Java-based messaging systems.

Explore WebAssembly integration in high-performance data streaming, focusing on challenges, solutions, and developer experience in Redpanda's Seastar framework environment.

Learn best practices, challenges, and lessons for deploying Apache Kafka on DC/OS. Explore Kafka's role in real-time data pipelines and its integration with microservices in DC/OS environments.

Explore Nubank's journey in modernizing their Kafka platform to handle 1 trillion monthly messages, including migration strategies, cell-based architecture, and cluster specialization for optimized workload management.

Explore Strimzi's solutions for partial multi-tenancy in Kafka, including topic creation, least privilege enforcement, and noisy neighbor mitigation. Learn how LittleHorse Cloud leverages Strimzi CRDs for efficient management.

Discover how Apache Pulsar serves as a scalable messaging platform, offering unified data streaming, multi-tenancy, and seamless integration with container environments - all while providing an alternative to traditional message brokers.

Explore scalable data processing using Knative and Benthos, focusing on batch processing challenges and solutions for enterprise use cases. Learn about transaction-based resiliency and data transformation techniques.

Learn to scale OpenTelemetry collectors using Kafka for improved observability in large-scale systems. Explore architecture, implementation, and monitoring techniques for efficient data processing and analysis.

Explore event-driven Change Data Capture patterns and their implementation using Apache Pulsar for efficient, real-time data synchronization in cloud-native environments.

Explore Apache Pulsar's features for event-driven apps: scalability, elasticity, durability, geo-replication, multi-tenancy, and ecosystem compatibility. Learn about its architecture and benefits for data streaming.

Explore streaming algorithms, linear sketching, and their equivalences. Learn about turnstile streaming, limitations, and separations in bounded-degree triangle counting and insertion-only algorithms.

Explore Data Mesh principles, microservices architecture, and GoldenGate's role in creating trusted data events for improved business outcomes and distributed data management.

Overview of Apache Pulsar's architecture, features, and benefits as a scalable messaging system with unified storage, processing, and serverless capabilities for building end-to-end streaming applications.

Explore real-time anomaly detection in Kubernetes using streaming ML and DAG-based processing. Learn how Intuit reduces outage response time with AIOps and integrates observability into Argo CD.

Explore NATS, an open-source messaging system for simplified, globally scalable communication. Learn about its features, patterns, and applications in building adaptive, multi-cloud systems.

Explore modern data architectures enabling agile, scalable solutions for IoT streaming, real-time analysis, and machine learning with large, multi-structured datasets in cloud environments.

Explore how graph databases enhance IoT data analysis, enabling real-time insights and better decision-making in industries like oil and gas and transportation.

Explore streaming data's role in generative AI, covering applications, model training, and challenges. Learn about real-time data's impact on AI systems' adaptability and contextual relevance.