
Innovative stream processing system enabling fast reactive scaling for unpredictable workloads using serverless frameworks. Reduces latency and costs while efficiently handling bursty loads in real-time data processing.

Explore Reactor 3, the reactive engine powering Spring Framework 5's reactive features. Learn to write and test backpressure-ready, resilient reactive applications and APIs using practical examples.

Explore tools for enhancing Spring Cloud architecture, including documentation, operations, and testing solutions. Learn about visualization dashboards and strategies for managing microservices in production environments.

Explore integrating Spark and Cassandra in Spring applications for powerful data analysis and storage. Learn implementation, pitfalls, and real-world usage of these technologies for large-scale data processing.

Explore event-driven microservices using Spring Boot, Apache Kafka, and Spring for Kafka. Learn to build a modern Java web application with live coding and practical patterns.

Explore efficient logging in Spring Boot using Elastic Stack. Learn to implement, manage, and visualize logs, add tracing, and optimize data collection for production environments.

Explore Testcontainers integration with Spring Boot for seamless integration testing and local development, leveraging Docker containers to provide real services without complex setups.

Explore Apache Pulsar's unique capabilities in distributed messaging, supporting both streaming and queueing semantics. Compare with Apache Kafka and learn about integration with Spring framework.

Explore building data streaming apps at scale using Spring, from edge to multi-cloud. Learn to integrate Spring with Kafka, MQTT, and other technologies for real-time processing in IoT and cloud environments.

Explore best practices for efficient data access on local and shared file systems, backed by real-world examples. Learn to improve performance, reliability, scalability, and portability in data-intensive applications.

Explore asynchronous I/O with io_uring and C++20 coroutines for enhanced program responsiveness. Learn to write efficient, parallel-like code without threading complexities.

Learn to build a robust monitoring infrastructure using Elastic Stack. Explore Beats, Logstash, Elasticsearch, and Kibana for efficient log and metric analysis in IoT and microservices environments.

Explore advanced stream processing on edge devices for real-time data analysis, enabling features like anomaly detection and distributed machine learning using open-source software.

Explore the intricacies of managing large-scale log and metric data using ELK stack. Learn from real-world experiences to build resilient, high-availability systems for processing billions of logs daily.

Explore Arkisto, an open-source framework for digital preservation using sustainable standards. Learn about its data-centric approach, key components, and applications in research data management.

Explore the future of streaming technology and its impact on Node.js development with insights from industry expert Matteo Collina.

Explore the future of big data and its revolutionary impact on businesses with insights from industry leaders in satellite imaging, analytics, and technology journalism.

Explore the transformative convergence of big data, smart agents, and AR in human-machine interaction, shaping the next decade of technological advancement and its profound impact on our species.

Explore market research in the big data era with Kantar CEO Eric Salama and WIRED's Greg Williams, discussing data usage, measurement, and evolving brand strategies.

Explore big data's impact on advertising with industry leaders, discussing customer acquisition, brand building, and the future of data-driven marketing strategies.

Explore the concept of global computation and its implications for technology, society, and our understanding of the world.