
Explore Akka's current capabilities and future developments in distributed systems, focusing on its role in building scalable and resilient applications.

Explore microservices architecture using Kafka, Akka, and Kafka Streams for scalable, event-driven systems. Learn implementation techniques and best practices from an industry expert.

Explore patterns for efficient telemetry streaming using Akka Streams, covering batching, throttling, error handling, and more. Learn to optimize data flow and processing in Scala applications.

Explore Kafka-based microservices using Akka Streams and Kafka Streams, covering architecture benefits, streaming alternatives, and practical examples in Scala.

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.

Explore concurrent programming in Scala using Akka, Monix, and ZIO. Compare features, ecosystems, and implementation approaches for efficient and typesafe concurrency solutions.

Explore Scala's current state, challenges, and progress since Scala 3's release. Gain insights into compatibility, migration, tooling, and future development plans for the language.

Explore high-performance process workflows using Akka Streams. Learn to define, integrate, and compose workflows at a higher level, replacing traditional actors with streamlined graph-based definitions in C#, F#, and Scala.

Explore Akka gRPC fundamentals to build efficient distributed systems. Gain essential skills for creating robust, scalable applications using Akka and gRPC.

Explore Akka Streams for asynchronous, bounded processing of infinite data streams. Learn Reactive Streams, build streaming graphs, and discover when to use different APIs.

Exploring Spark and Scala for IoT big data analytics, with demonstrations of infrastructure setup on Apache Mesos and coding techniques for Spark streaming, AKKA, and SparkSQL.

Explore Akka Streams' powerful DSL for efficient streaming computation. Learn Reactive Streams principles, component design, and complex graph creation through live coding examples.

Insights and experiences from a Java team's 2-year journey adopting Scala/Akka, covering best practices, pitfalls, and lessons learned in functional programming and interoperability with Java and Groovy.

Explore Java-based reactive frameworks like RxJava, Spring Reactor, Akka, and Vert.x to tackle asynchronicity challenges. Learn reactive programming basics and see real-world applications in microservices.

Explore architectural approaches for web applications: thread-per-request vs thread-pool-per-operation. Compare designs, analyze motivations, and understand practical implications to make informed decisions for your next project.

Explore the future of Cloud and Edge computing, focusing on serverless architecture, data management, and distributed systems for efficient, low-latency applications.

Explore Akka clusters through four Java projects, from basic setups to advanced features like cluster singletons and sharding. Gain hands-on experience with downloadable examples and visualize cluster dynamics using web dashboards.

Master functional programming principles and apply them to build scalable, efficient applications using Scala's powerful features.

Master functional programming principles in Scala, exploring polymorphic functions, data structures, and pattern matching for industry-ready applications.

Learn to create Akka streams graphs using graph DSL, explore non-linear components, and design dynamic graphs for efficient stream processing and ingestion.

Explore Akka Actor FSM to enhance actor behavior with improved code readability, especially for complex logic and challenging contexts.