More talks in the program:
17:30 - 18:20
Developers have a tendency to focus on low-level implementations to handle concurrency, locks, lock-free algorithms, compare-and-set etc. But you shouldn’t jump into any implementation without first deciding which high-level concurrency control pattern is right for the problem. To help you make the right decision, I cover the four common concurrency control patterns that let you safely update shared mutable state: pessimistic locking, optimistic transactions, queue to a single thread, and partitioning the data.