New Application Capabilities Unlocked by Infinite Storage for Streaming Data
Explore cloud-first storage for streaming data, unlocking new capabilities by combining real-time and historical data, improving cost efficiency, and enabling innovative use cases.
Full Stack Reactive with Spring WebFlux and React
Explore techniques for building fully reactive applications using Spring WebFlux and React. Learn to stream data to the UI for constant updates in this live coding session with Q&A.
Full Stack Reactive Development with Spring WebFlux and React
Explore full-stack reactive programming using Spring WebFlux and React, with live coding demonstrations and expert insights on streaming data, UI updates, and building resilient systems.
Dynamic Data and Infinite Possibilities - Exploring Streaming Data in Generative AI
Explore streaming data's role in generative AI, covering applications, model training, and challenges. Learn about real-time data's impact on AI systems' adaptability and contextual relevance.
Network Configurations for High-Performance Streaming Connectivity in Kubernetes
Optimize Kubernetes networking for high-performance streaming. Explore network setups, Container Network Interface, and proxy solutions to enhance data connectivity and reduce latency in K8s environments.
Sampling Big Ideas in Sublinear Algorithms
Explore random sampling techniques for enhancing data analysis scalability, focusing on weighted and coordinated sampling schemes for streamed or distributed data.
Enhancing Flexibility and Productivity with Access Patterns and Storage-Agnostic Abstractions
Explore a platform bridging data management gaps, offering storage-agnostic abstractions and ACID guarantees across streaming, batch, and random-access storages for flexible, consistent data handling.
Apache Kafka Event Streaming Platform for .NET Developers
Explore Apache Kafka's event streaming platform for .NET developers, covering architecture, pub/sub messaging, and real-time stream processing applications at scale.
Big Data Analytics in Near-Real-Time with Apache Kafka Streams
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.
Kafka as a Platform - The Ecosystem from the Ground Up
Comprehensive exploration of Apache Kafka ecosystem, covering core concepts, APIs, stream processing, and integration tools. Includes demos and practical insights for building robust data streaming platforms.
Getting Started with Combine
Explore Apple's Combine framework for declarative processing of values over time. Learn reactive programming basics, key components, and practical applications in iOS development.
Enabling Microservices at Apple
Explore Apple's approach to microservices, focusing on networking frameworks and libraries to optimize performance, scalability, and maintainability in server-side development.
Streaming Data for the Cloud Native Generation
Explore event-driven architectures, stream processing, and data management in cloud-native systems. Learn how to capture, stream, and process events, and manage stateful operations in microservices and FaaS environments.
Reacting to the Future of Application Architecture
Explore nature-inspired reactive architecture for efficient, resilient software solutions. Learn from honeybees to create responsive applications using frameworks and real-world examples.
Get Reactive
Explore RxJava and RxAndroid for building maintainable Android apps. Learn about Observables, error handling, testing, and practical implementations using MVP architecture.
Building Serverless Interactive Applications
Unlock serverless architecture's full potential with best practices, optimizations, and real-world scenarios. Learn to build secure, high-scale applications and integrate IoT, streaming data, and AI services efficiently.
Reactive Web Services
Explore reactive programming's impact on resource consumption, backpressure, data serialization, and event loops through live coding. Compare execution differences with classic imperative approaches.
GS Collections & Java 8 - Functional, Fluent, Friendly & Fun
Explore GS Collections and Java 8's functional programming features for improved productivity, memory efficiency, and performance in this technical presentation.
Kafka as a Platform - The Ecosystem from the Ground Up
Comprehensive exploration of Apache Kafka's ecosystem, covering core concepts, APIs, and advanced features. Includes live demo showcasing Kafka's capabilities as a robust streaming data platform.
Kafka as a Platform - The Ecosystem from the Ground Up
Comprehensive exploration of Apache Kafka's ecosystem, covering core concepts, architecture, and advanced features like stream processing APIs, with practical demonstrations and industry insights.
Reactor 3 - The Reactive Foundation for Java 8 and Spring 5
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.