
Explore Akka Streams through live coding, covering basics and advanced uses in reactive stream processing. Learn practical implementation techniques for real-world scenarios.

Explore fast data streaming with Akka Streams, designing robust transformation pipelines with flow control. Learn to create immutable processing logic and compose reusable stream transformations that leverage multicore hardware.

Build real-time streaming data pipelines using Apache Kafka, Kafka Connect, and KSQL. Learn to filter events, enrich data streams, and perform streaming aggregates for anomaly detection.

Explore XComponent Koordinator, a solution for integrating batch and stream processing microservices while maintaining security and auditability in enterprise environments.

Explore low-code systems, their potential and limitations in business contexts. Learn from real-world experiences and discover innovative approaches to streamline development processes.

Learn to build event-driven microservices using Apache Kafka. Explore asynchronous communication, distributed logs, and stream processing for loosely-coupled, scalable architectures.

Explore Apache Kafka's capabilities as an event-driven streaming platform, including Kafka Connect, Streams API, and Confluent Platform components. Includes live demos and real-world applications.

Explore database storage evaluation techniques to choose the best storage for your data needs, understanding trade-offs as you scale and plan for growth in Big Data environments.

Explore Akka's Typed Actor APIs and network Akka Streams, focusing on building resilient Reactive Systems. Learn about failure scenarios, healing mechanisms, and managing complexities in cloud-native environments.

Explore building a scalable streaming data platform using Clojure, Kafka, and Cassandra. Learn key concepts and live-code a system that handles high-volume, real-time data processing efficiently.

Leveraging Apache Kafka for real-time investment alerts at ING Bank, enabling customers to make quick decisions based on stock price fluctuations and market changes.

Explore event-driven architectures and data in motion, covering Kafka, event streams, and principles for effective implementation. Learn to leverage real-time data for business success.

Build real-time streaming data pipelines using Apache Kafka and KSQL. Learn architectural benefits, data integration, filtering, enrichment, and anomaly detection through practical demonstrations.

Explore real-time investment alerts using Apache Kafka and Spring Kafka at ING Bank. Learn how to handle massive stock price streams, match customer alerts, and deliver timely notifications while meeting regulatory requirements.

Explore stream processing for cloud resource billing with Exoscale's approach. Learn about considered options, implementation rationale, and real-world application in this insightful talk.

Explore stateful & reactive stream processing without databases. Learn to architect continuous, reactive applications using modern tech stacks like Kafka Streams, Spring Boot, and more.

Explore Apache Flink's powerful stream processing capabilities, from basic concepts to advanced features. Learn how industry leaders leverage Flink for resilient, scalable data pipelines and stateful applications.

Innovative stream processing system enabling fast reactive scaling for unpredictable workloads using serverless frameworks. Reduces latency and costs while efficiently handling bursty loads in real-time data processing.

Explore event-driven microservices using Spring Boot, Apache Kafka, and Spring for Kafka. Learn to build a modern Java web application with live coding and practical patterns.

Explore Apache Pulsar's unique capabilities in distributed messaging, supporting both streaming and queueing semantics. Compare with Apache Kafka and learn about integration with Spring framework.

Explore advanced stream processing on edge devices for real-time data analysis, enabling features like anomaly detection and distributed machine learning using open-source software.