
Explore microservices implementation using Scala and Akka. Learn about granularity, boundaries, communication, and reactive principles in distributed systems. Gain insights into advanced Akka usage and domain modeling.

Explore iHeartRadio's Akka cluster-based microservices architecture, including implementation details, lessons learned, and open-source contributions to facilitate development.

Scaling Apache Spark: best practices for large datasets, performance optimization, and efficient data processing techniques. Covers counters, key/value operations, caching, and functional transformations with Datasets.

Explore event sourcing and CQRS for microservices architecture, focusing on data safety, flexibility, and scalability. Learn implementation techniques using Scala and AWS services.

Explore architectural constraints for near-linear system scalability, examining real-world design approaches, tools, and techniques to achieve extreme load handling and avoid common pitfalls.

Explore microservices implementation using Scala and Akka, covering design principles, communication strategies, and reactive software tenets. Learn advanced techniques for crafting scalable, resilient distributed systems.

Explore Lightbend Lagom, an opinionated framework for building reactive microservices. Learn its development environment, project structure, and key features through code examples and live demos.

Explore monitoring challenges and solutions for reactive applications, including tracing techniques and best practices for cloud-based architectures.

Explore common pitfalls and best practices in reactive application development, focusing on actor systems, network partitions, graceful shutdown, and distributed transactions.

Explore techniques for handling consistency, state, and identity in distributed microservices. Learn about idempotency, eventual consistency, CAP theorem, and distributed domain design for robust system architecture.

Learn to apply the Eff monad in REST microservices, decomposing components like authentication and database access. Discover how to define precise interfaces and handle concerns such as logging and asynchronous execution.

Explore real-time data platforms using Kafka, Spark Streaming, and Akka. Learn about unified data transfer protocols, topic management, and scalable ingestion for modern microservices architecture.

Explore Vert.x 3's new Scala stack for building reactive JVM applications. Learn bootstrapping, testing, deploying microservices, and enhancing Vert.x with Scala features.

Explore building and maintaining long-lived microservice systems using Scala and Akka. Learn architectural choices, best practices, and tools for distributed systems in various industries.

Learn to implement gRPC applications in Scala using ScalaPB. Explore high-performance RPC framework features, HTTP/2 support, and protocol buffers for efficient microservice communication.

Explore Lagom's capabilities for building reactive microservices in Scala, featuring its development model, persistence, and message broker APIs.

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 an expressive Kafka Streams API tailored for Scala developers, enhancing stream processing capabilities and improving code readability in distributed systems.

Explore Twitter's journey to optimize runtime performance using GraalVM, addressing compilation issues, memory leaks, and cost-efficiency in large-scale server deployments.

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

Explore event-driven programming, micro-services, and fast data concepts for building scalable systems with feedback control and promise theory.