
Aprende a usar Akka.NET con guías sobre aplicaciones en clúster, despliegue remoto de actores, optimización de rendimiento, integración con ASP.NET Core y más.

Explore Akka's unified runtime for scalable, fault-tolerant systems using Actors and STM. Learn to solve complex scalability issues and implement a high-performance compute grid.

Explore reactive streams for handling data flows, focusing on back-pressure and distributed processing. Learn principles, examples, and implementations using Akka and Java 8.

Explore building actor-like systems using Project Loom's virtual threads as an alternative to Akka. Learn to implement core actor features and manage local state in Scala applications.

Explore Scala's concurrency landscape: Akka, Monix, cats-effect, ZIO, and Loom-based libraries. Compare approaches for safety, developer experience, readability, and type-level guarantees.

Explore reactive applications and systems using JDK9's Flow interface, learning how to build scalable, high-performance apps and interconnected systems with Akka and RxJava.

Learn Akka Actors in Java 8: concurrent programming made easier. Covers core concepts, examples, hierarchy, failure handling, lifecycle, dispatchers, and best practices for efficient actor-based development.

Learn to process streaming data asynchronously and efficiently using Akka Streams, exploring Reactive Streams, back-pressure, and pipelining for robust and scalable applications.

Explore reactive architecture for modernizing tax systems, focusing on event-driven patterns, Akka technologies, and strategies to enhance responsiveness and user experience.

Explore real-world applications of Akka in sports betting systems, focusing on responsiveness, resilience, and elasticity to balance profit and risk in a dynamic market environment.

Explore Quine, an open-source streaming graph solution for efficient event stream interpretation, offering real-time query answers and scalability to millions of events per second.

Exploring the future of Cloud-to-Edge computing, this talk presents innovative solutions for simplifying development, enhancing data management, and optimizing application deployment across the entire infrastructure spectrum.

Discover Akka 24.05's enhancements in security, performance, and efficiency for cloud-native computing. Learn about the latest features and improvements in this cutting-edge technology.

Explore designing and implementing distributed systems with Scala, Akka, and Spark. Learn about cluster-sharded domains, REST APIs, and DevOps considerations for wearable and mobile applications.

Explore tools and architectures for processing real-time data streams, enabling organizations to make faster, better decisions through event-based systems and reactive platforms.

Explore streaming data pipelines on Apache Mesos, covering tools like Kafka, Spark, and Flink. Learn about Mesos features, implementation details, and lessons from real-world applications.

Explore SDACK architecture for security event inspection, covering Dockerization, monitoring, security policies, and scaling solutions for big data challenges in APT attack analysis.

Explore building a resilient distributed task scheduler using Akka, Kafka, and Cassandra, addressing challenges like dynamic load adjustment, task ordering, and datacenter outages.

Explore large-scale graph analysis using Scala and Akka. Learn architecture, implementation, and optimization techniques for processing big data with graph structures and stream outputs.

Explore asynchronous programming with Akka, learning key principles for designing concurrent distributed applications and shifting your mindset for reactive systems.

Overview of major components in ML connected fitness system using Akka and Spark. Includes infrastructure, continuous deployment, monitoring, and live demos. Offers lessons learned and tips to avoid pitfalls in complex Akka & Spark systems.