
Explore reactive systems using Eclipse Vert.x and Kubernetes, covering microservices, service discovery, deployment, and resilience. Learn through live coding and practical demonstrations.

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 advanced techniques for troubleshooting and debugging Kubernetes applications in production, including centralized logging, tracing, and live debugging tools for microservices at scale.

Learn to create a dynamically reconfigurable, event-driven microservices platform using Apache Ignite and Docker, ensuring high availability and zero downtime for banking-grade 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.

Explore advanced deployment techniques using smart routers and feature toggles for effective A/B testing, monitoring, and hypothesis-driven development to enhance software releases.

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 serverless computing: its impact on architectures, usability for MBaaS, FaaS, and microservices. Discover how this paradigm truly delivers on the cloud's pay-as-you-go promise.

Discover strategies for building resilient microservices, focusing on graceful failure handling and robust system design. Learn from real-world experiences and explore useful patterns for improved reliability.

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 advanced deployment techniques like smart routers and feature toggles for effective A/B testing, monitoring, and hypothesis-driven development to enhance software releases.

Discover how Kotlin and Java EE combine to create efficient microservices. Learn to write, build, test, deploy, and scale services quickly using Docker, focusing on business logic and productivity.

Exploring the trade-offs of microservices architecture: complexity, orchestration challenges, and developer skills needed. Evaluating if benefits outweigh costs in real-world scenarios.

Explore the battle between gRPC and REST for microservices communication. Learn pros, cons, best practices, and performance benchmarks to make informed decisions for your projects.

Explore MicroProfile JWT for secure microservices communication. Learn design principles and see a live demo of token-based authentication between services using Open Liberty.

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 reactive programming in Spring for building resilient, responsive microservices. Learn integration, data pipelines, API design, and testing techniques for cloud-native Java applications.

Boost productivity using Kotlin with Java EE API and Docker for efficient microservices development. Focus on business logic with minimal boilerplate code and fast deployment.

Learn to build data-driven websites using JHipster, Angular, and GitLab. Explore CI/CD, microservices, and Docker for efficient web development and event management.

Explore data distribution strategies for microservices, including CQRS and Event Sourcing, to optimize data handling based on various scenarios and requirements.