
Explore reactive microservice orchestration using Camunda for scalable, customizable insurance platforms. Learn about non-blocking service integration, Kafka streams, and real-time monitoring in complex architectures.

Explore Kafka client request lifecycle, from initial call to disk and back. Learn configurations, metrics, and inner workings for improved debugging and performance analysis.

Learn to build high-performance event-driven microservices using Apache Kafka and Quarkus. Explore common patterns, live coding, and integration with Quarkus' reactive core for smooth development.

Explore event-driven autoscaling for serverless Java on Kubernetes using KEDA and Knative. Learn to redesign autoscaling architecture based on event metrics from Apache Kafka for improved efficiency and scalability.

Explore Apache Pulsar and Apache Kafka architectures, compare Java client implementations, and learn how to combine these streaming technologies for optimal data processing solutions.

Explore a modernization strategy using the outbox pattern and event-driven technologies. Learn how change data capture enables legacy app extension within cloud-based microservice architectures, using Kafka, Quarkus, and OpenShift.

Explore a case study on implementing Kafka-based microservices data pipelines at scale in Evernorth Health Services, showcasing real-world applications and challenges.

Explore Apache Kafka's transaction evolution, from KIP-98 to KIP-890, covering idempotency, protocol improvements, and solutions for hanging transactions.

Explore declarative streaming data pipelines on Kubernetes using Flink and SQL. Learn to simplify development, integrate systems, and optimize configurations for efficient stream processing.

Explore partition multihoming (PMH) to mitigate Kafka broker gray failures, enhancing reliability for key-based partitioning. Learn implementation details, workflow, and future roadmap for virtual partitioning in Apache Kafka.

Explore the multi-year journey to enhance Confluent Cloud's performance, learning about workload design, cloud-native complexities, challenges faced, and key principles for improving data streaming systems.

Explore active-active geo-replication in Venice, addressing challenges of last-writer-wins scenarios and enhancing data infrastructure for real-time, multi-source streaming across organizations.

Develop real-time ML applications using Generative AI and Kafka Streams, leveraging data in motion for intelligent, streaming-based solutions.

Explore Robinhood's Consumer Proxy for efficient Kafka management. Learn how to decouple consumer logic, resource utilization, and failure handling from application code, enabling easier scaling and centralized infrastructure management.

Explore Apache Kafka's potential as a game engine through a text-based adventure, learning about event systems, Kafka Streams, and diverse applications of event stores.

Dive into Apache Kafka basics and create your first Kafka application using C# and KafkaFlow. Learn key concepts and start your Kafka journey in under an hour.

Explore strategies for deploying critical health systems using Kubernetes and Kafka, ensuring seamless updates without compromising patient safety or data integrity.

Hands-on demonstration of building a Telegram bot using Apache Kafka and ksqlDB, showcasing real-time data processing, querying, and integration capabilities without additional datastores.

Discover how to build sustainable smart factories using open-source technologies, from unified data models to integrated development pipelines, emphasizing sustainability, scalability, and security principles.

Discover how 11st built a Kafka-based data hub platform to integrate and synchronize distributed data across microservices, enabling efficient data discovery and utilization in commerce services.

Explore how Rivian leverages real-time analytics and IoT technologies to power their electric vehicles through an advanced stack combining Kafka, Flink, and Druid with custom solutions.