
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.

Explore the six key components of a Data Streaming Platform, from Apache Kafka to Tableflow, and learn how they work together to provide a complete solution for unified end-to-end data streaming across your organization.

Rethink data circulation using DataStreams and Change Data Capture. Learn to shift data preparation to creation point, building fresh datasets as streams for operational use or Apache Iceberg tables for analytics.

Explore real-time threat detection using machine learning, Apache Kafka, and ksqlDB. Learn about ZIEM, a network mapping and intrusion detection platform that generates instant network diagrams for quick anomaly detection.

Explore Striim's unified data streaming platform for rapid deployment of event stream pipelines, enabling real-time analytics and AI with built-in CDC and exactly-once processing.

Master data-in-motion techniques to accelerate trusted AI implementation, enhancing real-time data streaming across organizations for improved customer experiences and backend operations.

Explore Apache Kafka's next-generation rebalance protocol, enhancing stability and scalability for consumer groups in data streaming architectures.

Discover how serverless Flink revolutionizes real-time data processing, offering improved scalability, reduced costs, and increased flexibility. Learn to build low-latency applications focusing on business logic rather than infrastructure management.

Explore custom queries with Kafka Streams Interactive Queries v2. Learn to build IQ services, create tailored queries, and test applications for efficient state store access and business-aligned data processing.

Unlock real-time event streams to detect trends, issues, and threats. Learn how IBM Event Automation empowers teams to process events, define scenarios, and automate decisions.

Leverage Confluent Cloud on Azure to build real-time data flows, capture changes instantly, and simplify data pipeline development. Boost productivity and innovate faster with streaming data pipelines and self-service access.

Explore Shopify's Kafka infrastructure and learn how DNS traffic management and client wrappers enhance resilience, ensuring message production during incidents and maintenance.

Explore a unified architecture for stream processing, combining fast data storage to enhance simplicity, performance, and cost-efficiency in real-time data platforms.

Explore event-driven architecture for managing long-term customer data, addressing data quality issues, and evolving critical data structures in Social Security Administration systems.

Analiza el tráfico HTTP y los logs de NGINX utilizando GoAccess para obtener información valiosa sobre el rendimiento y la seguridad de tu servidor web.

Aprende a integrar bases de datos vectoriales, LangChain y ChatGPT para crear aplicaciones de IA avanzadas y eficientes.