Distributed computing is hard, but it doesn't need to be. In this course, you'll learn what Akka.NET clustering is and how you can utilize it to build concurrent, distributed systems that can handle failure and easily scale up or down to meet demand.
Create more performant, reactive, and scalable Akka.NET systems by increasing and optimizing message throughput.
This course will introduce you to Apache Kafka and provide a thorough tour of its architecture so you can start building your next enterprise system with it.
Patterns and tools for building scalable distributed systems
In this course, we see how to assemble many powerful AWS components into a resilient, highly available web application with no single point of failure.
Want to implement message-based architectures, such as microservices, using open source products? With a 2-hour investment, you'll be ready to build your own message-oriented distributed system!
Akka.NET makes building concurrent, scalable, reactive, self-healing, and distributed systems easier. This course will show you how to create persistent actors that recover their state when they restart due to exceptions or process/server crashes.
This course introduces TensorFlow, an open source data flow library for numerical computations using data flow graphs.
This course provides an overview of the architecture and technology used to build distributed sytems on the Microsoft platform
Distributed systems and multi-core platforms are far too prevalent now to dismiss everyday concurrency. This course outlines several concurrency patterns that the Java Concurrency API simplifies, making it much easier to scale your Java application.
