
Explore modern microservices with Spring Cloud.next, covering functions-as-a-service, reactive programming, Kotlin, Apache Kafka messaging, and Spring Cloud Gateway for efficient cloud-native development.

Explore real-time data processing with Apache Kafka, Kafka Streams, and server push technologies for dynamic UI updates and live analytics in Java and Node applications.

Explore Uber's fault-tolerant system using Apache Kafka for reliable redeliveries and dead letter queues in distributed systems, ensuring graceful handling of failures at massive scale.

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.

Learn to build event-driven services using Apache Kafka and Kafka Streams. Explore patterns for creating scalable, stateful services with distributed logs and transactional guarantees.

Modernize legacy systems using Event Sourcing: Capture data with Debezium, process with Kafka Streams, and store in diverse databases for flexible, context-specific data access and improved scalability.

Explore how blockchain concepts and Hadoop can revolutionize banking, enabling massive transaction processing and data storage using technologies like Apache Kafka, HDFS, Spark, and Accumulo.

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.

Explore unbundling databases in microservices using distributed commit logs. Learn how event-based integration with Apache Kafka can create adaptable, real-time systems that meet evolving enterprise needs.

Explore KSQL, a SQL-like language for Kafka stream processing. Learn to create powerful applications with ease through live coding demonstrations on real-time data.

Explore a startup's microservices journey, lessons learned, and challenges faced during the transition from monolith architecture. Gain insights on product vision, service interactions, and organizational impacts.

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 Apache Kafka fundamentals, event streaming, and event-driven architecture with experts. Learn practical applications, compare streaming vs batching, and gain insights for building with Kafka.

Explore contract testing for modern distributed architectures using gRPC, Kafka, and GraphQL. Learn how to address challenges in multi-language, multi-protocol systems for faster, more reliable software delivery.

Explore disaster recovery strategies for Apache Kafka on Kubernetes, including active-active replication and multi-regional clusters. Learn to architect reliable deployments and leverage automation tools for mission-critical applications.

Demystifying Kafka topic partitioning: impacts on consistency, concurrency, and durability. Learn optimal sizing strategies and consequences of poor decisions for efficient system performance.

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 Apache Kafka's ecosystem: from basic messaging to advanced streaming platform. Learn about topics, partitioning, APIs, stream processing, and enterprise-grade features for scalable data infrastructure.

Explore Apache Kafka integration with Spring ecosystem for scalable, event-driven architectures. Learn Spring Kafka, Reactor Kafka, Spring Cloud Stream, and Spring Cloud Function through live coding examples.

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.