
Discover Oxia, a horizontally scalable alternative to Apache Zookeeper. Learn about its architecture, benefits, and potential as a Zookeeper replacement across the Apache ecosystem.

Explore properties, scenarios, and examples of Fact, Delta, and Composite event types. Learn usage recommendations and avoid pitfalls in event design for effective event streaming.

Explore trade-offs between normalized and denormalized event data models in relational and document databases. Learn strategies for efficient data handling in event streaming systems.

Explore best practices for event design and streams: schemas, metadata, naming conventions, and unique IDs. Gain insights to optimize your event-driven architecture.

Explore key updates in Apache Kafka 3.5, including KRaft migration preview, improved error handling, versioned state stores, and enhanced client-side features for better performance and flexibility.

Explore key capabilities of streaming platforms and compare self-managed Apache Kafka with Confluent Cloud's fully-managed services for efficient data streaming operations.

Explore Kafka resilience, mitigate data loss, and implement disaster recovery strategies using Confluent Cloud for robust data streaming systems.

Implement GitOps for efficient CI/CD in data streaming platforms, enhancing operations and traceability with Apache Kafka and Confluent Cloud.

Manage cloud volatility, configure Kafka clients for resilience, and explore error handling in Kafka Streams. Learn idempotent operations and exactly-once processing for robust data streaming applications.

Learn to recognize and overcome "Kafkatosis" in Kafka environments. Discover strategies to optimize stream management, improve application onboarding, and enhance operational efficiency in diverse cloud and on-prem setups.

Optimize Kafka performance by leveraging Azul Prime JVM. Reduce latency by 40%, improve SLAs, and lower infrastructure costs through efficient JVM utilization.

Learn to create data pipelines from edge to cloud using open-source Strimzi on Kubernetes, enabling real-time data streaming across your organization.

Leverage large language models and real-time data to build intelligent applications with improved accuracy using Retrieval Augmented Generation. Explore AI-driven experiences and vector search capabilities.

Explore challenges and clever solutions for expanding Kafka infrastructure. Learn to optimize resources, streamline pipelines, and refocus on core business objectives as your system grows.

Explore Oxia, a scalable metadata framework for distributed messaging systems. Learn how it simplifies event streaming architectures and handles millions of topics without ZooKeeper's complexities.

Explore the tradeoffs between Event-Driven and Request-Driven Architectures. Learn about reactivity, coupling, consistency, historical state, flexibility, and data access in both approaches.

Explore event-driven architectures, including event immutability, windowing techniques, and practical applications in Apache Kafka and Flink ecosystems. Gain insights from industry experts in an engaging Q&A format.

Explore event-driven microservices in banking and fraud detection. Learn about isolation, resilience, performance improvement, security, and polyglot architecture for modernizing systems.

Explore Retrieval Augmented Generation (RAG) with data streaming to enhance LLM outputs. Learn how Apache Kafka and Flink enable real-time, contextualized data for reliable GenAI applications.

Explore headless data architecture: decouple computation from storage, enable modular ecosystems, and streamline data processing for real-time and analytical use cases.

Leverage native monitoring capabilities of Python Kafka producers and Confluent Cloud's Metrics API. Explore linger.ms effects on latency and batch sizes. Troubleshoot using Python logging and enterprise monitoring infrastructure.