Real-Time Elixir: BEAM Scheduling and Memory Optimization

Building real-time applications requires a deep understanding of how your code executes under the hood. While Elixir makes concurrency easy, achieving ultra-low latency at scale requires mastering the Erlang Virtual Machine (BEAM). This text-based course guides you through the inner workings of the BEAM scheduler and memory management system. You will transition from writing basic Elixir code to architecting highly optimized, fault-tolerant systems that handle massive concurrent traffic with predictable performance. Learn how the BEAM scheduler allocates CPU time across lightweight processes to prevent starvation. Manage process memory and garbage collection cycles to avoid latency spikes in high-throughput systems. Configure supervision trees and process architectures to isolate failures and optimize resource utilization. Apply modern telemetry and monitoring techniques to identify and resolve performance bottlenecks. Analyze the impact of binary allocation and off-heap storage on system-wide memory consumption. You will start with the core architecture of the BEAM virtual machine, establishing foundational concepts before diving into advanced scheduling strategies, memory profiling, and real-world optimization patterns. This course is designed for developers who are familiar with basic Elixir syntax and want to understand the runtime environment to build production-ready systems. No prior systems programming or virtual machine experience is required. Start reading today to unlock the full performance potential of your Elixir applications.