Come Stream with Me - Build Performant Simple Parallel Applications in C++ Using RaftLib
Explore RaftLib for simple, performant parallel C++ applications using stream processing. Learn its functionality, implementation, and hands-on application building for optimized multi-threaded streaming.
Designing NRT - Near Real Time Stream Processing Systems - Using Python with Storm and Kafka
Learn to build near-real-time stream processing systems using Python, Storm, and Kafka for handling and computing large volumes of data as it arrives, with a focus on creating efficient pipelines.
Real Time Stream Processing for Machine Learning at Massive Scale
Practical insights on building scalable data streaming ML pipelines for real-time processing using Python, Kafka, SpaCy, and Seldon. Covers key concepts and best practices through a Reddit comment moderation case study.
Stateful Serverless and the Elephant in the Room
Explore Stateful Functions: a new pattern for stateful serverless applications using containerized, event-driven functions with Apache Flink for state management and inter-function messaging.
Advanced Logging with Fluent Bit
Explore advanced logging with Fluent Bit, covering architecture, data workflows, and stream processing. Learn SQL engine usage, data snapshots, aggregation windows, and basic machine learning for cloud-native environments.
Deep Dive - Fluent Bit - High Performance Log Processor
Explore Fluent Bit's high-performance log processing capabilities, architecture, and best practices for efficient data handling in distributed environments with low resource usage.
Securing Kafka with SPIFFE at TransferWise
Explore how TransferWise implemented secure, scalable Kafka communication using SPIFFE, SPIRE, and Envoy for 300+ microservices, reducing maintenance and simplifying client migration.
Analyzing Operational Data at Scale Using ML at Intuit
Learn how Intuit uses ML techniques to detect anomalies and identify production issues in their Kubernetes services, leveraging an Operational Data Lake for real-time analysis of infrastructure and application events.
Fluent Bit Updates and Stream Processing
Explore Fluent Bit's latest performance updates, multi-worker support, and SQL stream processing features for efficient data routing, filtering, and transformation in cloud-native environments.
Stream vs. Batch - Leveraging M3 and Thanos for Real-Time Aggregation
Explore real-time aggregation approaches in M3 and Thanos for efficient monitoring of high-volume data in cloud-native applications, comparing stream and batch processing methodologies.
Distributed Real-Time Stream Processing - Why and How
Explore state-of-the-art open-source distributed streaming frameworks, their trade-offs, use-cases, and selection criteria. Learn about Spark Streaming, Storm, Samza, and Flink for modern data processing challenges.
Swave - A Fresh Reactive Streams Implementation
Explore Swave, a high-performance Reactive Streams implementation for Scala. Learn its design, features, and advantages over existing solutions for asynchronous stream processing.
Learn You Akka Streams for Great Good
Learn essential and advanced Akka Streams features through live coding and demos. Covers materialized values, cyclic graphs, and practical applications in Scala for efficient stream processing.
Expressive Kafka Streams API for Scala Developers
Explore an expressive Kafka Streams API tailored for Scala developers, enhancing stream processing capabilities and improving code readability in distributed systems.
Akka Streams to the Extreme
Explore advanced Akka Streams features, including simplified demos, source queues, promises, and testing techniques. Learn about branching, merging, and practical applications like word shuffling and text processing.
The Pierian Stream
Explore functional streams, from basic pure programs to effects and concurrency. Build mental models for stream evaluation and learn to reason through complex code using practical examples and frameworks.
Building Stream Processing Applications with Ruby & Meroxa
Learn to build real-time stream processing applications using Ruby and the Turbine framework. Discover how to simplify complex tasks and deploy sophisticated solutions without extensive tooling or unfamiliar paradigms.
Async and Streaming JS - Are We Doing It Wrong?
Explore asynchronous JavaScript programming, comparing promises, generators, streams, and reactive approaches to find the most effective methods for handling async operations.
Thirteen Ways of Looking at a Turtle - Functional Programming in Practice
Explore 13 functional programming techniques through turtle graphics implementations, covering topics from partial application to interpreter patterns in this comprehensive overview.
From Reactive Extensions to Reactive Streams
Explore reactive programming evolution from Rx.NET to reactive streams, focusing on Akka.NET streams implementation and their versatile applications in networking and event sourcing.
Data Pipeline Scorecard: Evaluating Python Processing Approaches
Explore data processing approaches in Python, comparing different methods and their practical applications for building efficient data pipelines and optimizing workflow performance.