
Explore KSQL, a SQL-like language for Apache Kafka, enabling powerful stream processing applications with ease. Learn its benefits and see live coding demonstrations.

Comprehensive exploration of Apache Kafka's ecosystem, covering core concepts, APIs, and advanced features. Includes live demo showcasing Kafka's capabilities as a robust streaming data platform.

Explores the evolution of microservices architecture, discussing API gateways, service mesh, state management, and serverless architectures with real-world examples for improved resilience and scalability.

Explore structured streaming with Apache Kafka, covering schema formats, registries, and application integration. Learn to effectively manage event shape changes in publish-subscribe systems.

Hands-on demonstration of building a Telegram bot using Apache Kafka, Go, and ksqlDB for real-time data processing and querying, showcasing event-driven architecture and stream processing capabilities.

Comprehensive exploration of Apache Kafka's ecosystem, covering core concepts, architecture, and advanced features like stream processing APIs, with practical demonstrations and industry insights.

Live-coding session demonstrating real-time dashboard creation using KSQL, Python, and JavaScript. Showcases rapid development of KPI visualization tools for organizations or personal projects.

Explore Apache Kafka fundamentals with experts Viktor Gamov and Tim Berglund. Learn Kafka's capabilities, get practical insights, and discover how it can revolutionize your data streaming projects.

Learn strategies for efficiently distributing data across Apache Kafka partitions, optimizing performance and scalability for beginners.

Learn to build a real-time soil moisture monitoring system for houseplants using ksqlDB, exploring stream processing concepts and practical IoT applications.

Explore dynamic configuration management in microservices using Spring Cloud and Apache Kafka, with live coding demonstrations on improving and reconfiguring applications without rebuilds or reboots.

Explore integrating Business Process Management with microservices using Spring, addressing key challenges and showcasing implementation strategies with Spring tools and Apache Kafka.

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 change data capture with Debezium for reliable microservices integration using Apache Kafka. Learn practical applications, best practices, and use cases for seamless data streaming in Spring Boot applications.

Explore advanced Spring Kafka concepts, real-world scenarios, and best practices for production-ready applications. Learn to handle exceptions, implement testing strategies, and monitor performance effectively.

Explore building data streaming apps at scale using Spring, from edge to multi-cloud. Learn to integrate Spring with Kafka, MQTT, and other technologies for real-time processing in IoT and cloud environments.

Explore event-driven applications using Apache Kafka and Python. Learn about Kafka's capabilities, integration techniques, and real-time data streaming for modern application development.

Explore event-driven microservices using Python and Apache Kafka. Learn to build loosely coupled, extensible distributed systems with an example application and practical considerations.

Learn Apache Kafka® basics through a British fish and chips shop model. Explore key concepts, multiple producers/consumers, and scalable message handling in this fun and practical introduction to data streaming.

Learn to deploy and manage Apache Kafka on Kubernetes using Strimzi, addressing challenges and exploring features through explanations and a live demo.