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.
Change Data Capture for Non-Relational Databases
Explore Debezium for real-time data streaming with MongoDB. Learn deployment topologies, outbox pattern implementation, and building scalable architectures for efficient data synchronization.
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.
Using Debezium to Transfer Realtime Data Changes from SQL Server to Event Hub
Automate SQL Server change data capture into Event Hub using Debezium. Learn to streamline data transfer for serverless architectures.
Before It's Too Late: Finding Real-Time Holes in Data
Discover techniques for identifying and addressing real-time data gaps, enhancing data integrity and decision-making in dynamic environments.
Applications of Sub-linear Algorithms in Other Fields
Explore how sub-linear algorithms impact diverse fields, enhancing efficiency and scalability in data analysis and problem-solving across disciplines.
An Eventful Tour from Enterprise Integration to Serverless Computing
Explore the evolution of messaging and event-driven architecture, from enterprise integration to serverless computing, with practical insights for building on Red Hat OpenShift.
Dive into Streams with Brooklin
Explore LinkedIn's Brooklin: a scalable, extensible data streaming service supporting multiple sources and destinations for near real-time data movement and change data capture.
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.
Data in Motion - Streaming Static Data Efficiently in Akka Persistence
Explore efficient streaming of static data using Akka Persistence, focusing on architecture, implementation, and performance tuning for distributed systems and enterprise applications.
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.
Fast Cars, Big Data - How Streaming Can Help Formula 1
Explore real-time data streaming and analysis in Formula 1 racing using Apache Kafka, Spark, and Drill. Learn how to capture, process, and visualize high-volume automotive data for performance insights.
The End of Polling - Why and How to Transform a REST API into a Data Streaming API
Explore real-time data streaming technologies like WebSockets and Server-Sent Events. Learn to transform static APIs into dynamic streams, optimize data transfer, and apply streaming to innovative use cases like drone control.
Back to BASICS - Back-pressured Asynchronous Scalable Immutable Composable Streams
Explore fast data streaming with Akka Streams, designing robust transformation pipelines with flow control. Learn to create immutable processing logic and compose reusable stream transformations that leverage multicore hardware.
Get Reactive
Explore RxJava and RxAndroid for building maintainable Android apps. Learn about Observables, error handling, testing, and practical implementations using MVP architecture.