
Explore techniques for leveraging distributed commit logs in transaction processing, including handling duplicates, sharding, exceptions, and debugging in real-time systems.

Explore building scalable streaming microservices using Apache Kafka and Apache Mesos. Learn about Kafka brokers, Kafka Streams API, and Mesos deployment options through live demos and real-world examples.

Explore Apache Kafka's hidden protocol for managing work assignments, including leader election and task distribution. Learn its internals, applications, and how to extend it for custom implementations.

Explore Kafka's exactly-once semantics, including idempotence and transactions. Learn about distributed transaction mechanics, two-phase commit protocols, and future improvements for stream processing.

Explore stream processing challenges and solutions at internet scale, covering event ingestion, real-time data processing, and performance optimization techniques for large-scale applications.

Explore Apache Kafka's event streaming platform for .NET developers, covering architecture, pub/sub messaging, and real-time stream processing applications at scale.

Explore near-real-time data analytics using Apache Kafka streams. Learn to process, aggregate, and distribute large volumes of data efficiently, moving beyond traditional ETL methods for instant insights.

Cryptographic system for enforcing user-defined privacy policies in real-time data analytics, ensuring compliance and protection against breaches while maintaining scalability and low latency.

Explore Kafka's TLS configuration for secure, high-performance log streaming. Learn best practices, authentication methods, and troubleshooting techniques for a robust messaging system.

Explore how to simplify microservices using Kafka and Reactive Streams, focusing on latency reduction, back-pressure, high availability, and message payload evolution.

Explore fault tree analysis techniques to enhance Apache Kafka cluster resilience, drawing insights from Lyft's experience in bulletproofing their deployments.

Explore advanced Kafka Streams techniques using the Processor API. Learn to combine DSL and Processors for flexible, powerful stream processing with real-world examples and optimization strategies.

Integrating BPM with microservices using Spring ecosystem and Apache Kafka. Explores scalability, deployment, and communication challenges while showcasing practical solutions for business process management in modern architectures.

Explore complex event processing for fraud detection in gambling systems, covering technological evolution and specific use cases in this niche domain.

Explore real-time data processing for environmental monitoring at Europe's largest port, combining diverse sources to create actionable insights and support sustainability goals.

Explore real-time data streaming with Apache Kafka and KSQL. Build a pipeline, filter events, enrich data, and detect anomalies using SQL-like syntax. Hands-on demo of Kafka Connect and KSQL in action.

Learn to build highly scalable systems using reactive programming, Project Reactor, message brokers, and Spring Cloud Stream. Gain practical knowledge through live coding demonstrations.

Explore SQL streaming for IoT data using KSQL in Apache Kafka's ecosystem. Learn to ingest, process, store, and visualize smart home energy data in near real-time with a simplified architecture.

Explore using multiple databases in an event-driven microservice architecture, leveraging Kafka and Debezium to replicate data across ElasticSearch, MongoDB, and Neo4j for optimal performance.

Explore event-driven microservices architecture using Apache Kafka, covering design patterns, advantages, and implementation strategies for efficient, low-latency systems.

Explore reactive programming for system-wide scalability using Project Reactor, message brokers, and Spring Cloud Stream. Learn practical techniques for building performant and scalable reactive microservices.