Explore the critical role of concurrency in modern software development and the challenges developers face in achieving efficient, error-free concurrent execution.
Review traditional Java concurrency mechanisms including threads, locks, synchronized blocks, and concurrent collections; discuss complexities such as explicit synchronization and deadlocks, and introduce Clojure's approach.
Discover the power of Clojure atoms for managing synchronous state changes without locks. Learn how to safely update shared state using compare-and-swap (CAS) operations with practical examples.
Explore how Clojure's refs and Software Transactional Memory (STM) simplify coordinated state changes, enabling atomic updates and avoiding common concurrency challenges like deadlocks.
Explore the dynamic bindings and thread-local state management in Clojure using vars. Learn how to use vars for dynamic context configuration differences across threads with practical examples.
Explore how to manage state in Clojure using atoms with `swap!` and `reset!`. Learn about atomic updates, contention handling, and practical use cases for Java developers transitioning to functional programming.
Explore practical use cases for Clojure atoms such as counters, caches, and configuration settings, detailing scenarios where atom utilization is advantageous.
Explore real-world examples demonstrating the benefits of using refs and STM in Clojure, including scenarios like bank account transfers, game state management, and synchronizing complex data structures.
Learn to read the current state of an agent in Clojure using `deref` or `@`, understand stale state issues, and explore methods to retrieve up-to-date values.
Explore practical use cases for Clojure agents in real-world scenarios such as updating GUI elements, handling I/O operations, and managing background tasks.
Explore Java's concurrency mechanisms, including synchronized methods/blocks, ReentrantLock, and Semaphore while uncovering the intricacies and challenges of manual synchronization.
Explore Java's concurrent collections, including ConcurrentHashMap, CopyOnWriteArrayList, and BlockingQueue, and how they offer thread-safe operations with considerations for coordination.
Learn how to effectively manage application state in a multithreaded environment using Clojure's ref and Software Transactional Memory (STM) to safely coordinate updates across threads.
Explore how to leverage Clojure's agents for effective background processing, enhancing application responsiveness through practical examples of logging and queue processing.
Explore the potential overheads of concurrency primitives in Clojure and learn how to measure and evaluate them effectively to maintain optimal application performance.
Learn how to optimize concurrent code in Clojure by minimizing transaction scope, reducing state change frequency, and avoiding unnecessary coordination.
Discover performance comparisons between Clojure's concurrency mechanisms and Java's traditional threading models, highlighting scenarios of advantages and potential overhead in Clojure's approach.
Engage in practical exercises to master concurrency in Clojure, covering safe state management with refs, producer-consumer models using agents, and performance measurement of concurrency primitives.