✅ Grasp the fundamentals of concurrency and parallelism: Understand their definitions, differences, and when to apply each to improve application responsiveness and throughput.
✅ Recognize the necessity of concurrent programming in Ruby: Identify common scenarios in modern applications that demand concurrency, and understand the limitations of single-threaded execution.
✅ Demystify the Ruby Global Interpreter Lock (GIL): Learn its purpose, impact on Ruby threads, and how it affects true multi-core parallelism, along with strategies to work around its limitations.
✅ Explore the evolution of Ruby's concurrency mechanisms: Trace the historical development from early approaches and threads to the introduction of Fibers and Ractors.
✅ Master Ruby Threads for concurrent execution: Learn to create, manage, and synchronize threads, including handling shared data, preventing race conditions, deadlocks, and livelocks.
✅ Utilize synchronization primitives effectively: Understand and apply Mutex and ConditionVariable objects to protect shared resources and coordinate thread execution.
✅ Leverage other synchronization tools for robust communication: Discover how to use Queue for thread-safe data passing and understand the role of semaphores and atomic operations.
✅ Implement advanced thread management techniques: Learn about thread pools for efficient resource utilization, manage thread lifecycles, and handle exceptions in concurrent contexts.
✅ Employ Ruby Fibers for cooperative concurrency: Understand their role as lightweight, user-scheduled execution contexts, and how to integrate them with non-blocking I/O operations for asynchronous programming.
✅ Harness Ruby Ractors for true parallel computation: Learn how Ractors provide isolated execution contexts, bypass GIL limitations for CPU-bound tasks, and communicate via message passing.
✅ Navigate object sharing and message passing with Ractors: Understand the principles of Ractor isolation, how objects are shared or duplicated, and design effective data structures for communication.
✅ Implement robust error handling and supervision in Ractors: Learn how to manage exceptions within Ractors and design systems for monitoring and reacting to Ractor failures.
✅ Compare and contrast Threads, Fibers, and Ractors: Gain the ability to choose the most suitable concurrency mechanism based on workload characteristics, performance needs, and design philosophies.
✅ Combine different concurrency mechanisms for complex systems: Understand how to integrate Threads, Fibers, and Ractors to build heterogeneous and highly efficient concurrent applications.
✅ Develop skills for debugging and testing concurrent Ruby code: Learn strategies to identify and resolve non-deterministic bugs, and apply techniques for reliable testing of concurrent applications.
✅ Optimize the performance of concurrent Ruby code: Identify bottlenecks, use profiling tools, and apply best practices for optimizing synchronization and Ractor-specific considerations.
✅ Explore key concurrency libraries and gems in the Ruby ecosystem: Gain familiarity with popular tools like concurrent-ruby and async, and understand their integration with native concurrency mechanisms.
✅ Apply concurrency concepts within web frameworks: Understand how different concurrency models are utilized in Ruby web servers and how to handle concurrent requests in applications like Rails.
✅ Anticipate future directions in Ruby concurrency: Stay informed about ongoing developments in Ractors, potential changes to the GIL, and concurrency features across different Ruby implementations.
