Elixir Process Graphs: Building Dynamic and Supervised Networks

Modern concurrent applications require systems that can scale dynamically while remaining fault-tolerant. Elixir's powerful actor model and supervision trees provide the perfect foundation for building complex, self-healing process networks. In this written course, you will progress from Elixir concurrency basics to designing sophisticated process graphs where each node is a supervised process. You will learn to manage state across nodes, orchestrate dynamic topology, and handle failures gracefully to ensure high availability. What you'll learn: - Understand the fundamentals of Elixir processes, actors, and the OTP framework - Build dynamic process graphs by mapping network nodes to supervised GenServers - Manage state and communication paths between concurrent nodes safely - Implement DynamicSupervisor strategies to spin up and tear down nodes on demand - Simulate network failures and test system resilience using robust supervision strategies - Apply modern testing patterns in ExUnit to verify concurrent process interactions The course begins with foundational concepts of processes and supervisors, establishing key terminology before moving into graph design. You will then study step-by-step written implementations of dynamic topologies, state synchronization, and failure recovery. This course is designed for developers who are new to Elixir's concurrency model or want to deepen their understanding of OTP. No advanced Elixir experience is required, as we start with the essential basics. Start reading today to master resilient process design in Elixir.