
Explore fault-tolerance and scalability in reactive applications, covering failure detectors, dissemination strategies, and consensus algorithms in Akka Cluster, with Pink Floyd references.

Explore IoT using Scala and Akka to control Lego trains with Raspberry Pi's. Learn how remote actors can replace REST endpoints in applications, demonstrated through an automated Lego train system.

Explore reactive machine learning techniques for building scalable, responsive AI systems using JVM languages and beyond, with real-world examples and cartoon animal guides.

Explore Akka Streams through live coding, covering basics and advanced uses in reactive stream processing. Learn practical implementation techniques for real-world scenarios.

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.

Explore DDD/CQRS implementation using Scala and Akka. Learn domain modeling with functional programming, event propagation, failure recovery, and asynchronous programming. Includes demo application.

Learn to create high-performance, event-sourced microservices using Play! Framework and Akka. Explore project structuring, event sourcing, clustering, and CQRS optimization for tailored read-sides.

Explore Akka's Typed Actor APIs and network Akka Streams, focusing on building resilient Reactive Systems. Learn about failure scenarios, healing mechanisms, and managing complexities in cloud-native environments.

Explore Event Sourcing & CQRS implementation using Akka and Java for microservices. Learn about distributed clusters, Akka Persistence, and actor-based solutions for decomposing monolithic systems.

Explore asynchronous programming, back pressure, and reactive streams for building responsive, scalable services using Akka HTTP and Akka Streams.

Explore Akka for scalable software: actors, concurrency, and fault tolerance. Learn core concepts, Java 7 features, and practical implementation for robust, distributed systems.

Explore stream-based programming with Akka Streams, focusing on non-blocking back pressure, Flow API, and optimization techniques for asynchronous data processing and functional programming.

Discover how to build scalable, performant prediction pipelines for microservices in the cloud. Learn data collection, model building, serving, and candidate checking techniques.

Explore reactive machine learning systems using functional programming principles. Learn to build responsive, resilient, and elastic applications with Scala, Akka, and Spark, focusing on architectural patterns and implementation.

Insights from implementing the Actor Model in production, covering challenges, design decisions, and lessons learned. Explores clustering, persistence, and practical applications of this concurrent programming paradigm.

Explore challenges and solutions for building realtime multiplayer mobile games using Akka and the actor model, focusing on performance and network resilience.

Exploring next-gen stateful serverless architecture: CloudState project addresses limitations of FaaS, enabling scalable, long-lived services and distributed state management for general-purpose applications.

Explore building resilient distributed systems using Akka and Docker, focusing on Reactive microservices architecture, HTTP/JSON marshalling, persistence, and deployment strategies.

Explore Scala's versatility in diverse projects, from music analysis to robotics and home automation, showcasing its power in data processing, web development, and hardware integration.

Learn to build and integrate a recommender system using Apache Spark and Akka HTTP. Discover the components of recommender systems and implement one with machine learning techniques in a practical, hands-on session.

Explore building IoT applications with Scala and Akka, using Lego trains as a practical example. Learn about remote actors, performance comparisons, and challenges in IoT development.