
Introduction to M/M/1 queue model and Poisson process, covering fundamental concepts of queuing theory. Explores key principles and applications in simple queuing systems.

Explore queuing theory, parallelism, and concurrency in Rails applications through Star Trek-themed examples, focusing on Sidekiq and Puma optimization.

Explore continuous time birth-death Markov chains, analyzing expected waiting times and queue lengths in various queueing systems.

Explore the intersection of information theory and network theory in short packet communication, focusing on reliability and latency in 5G applications like mMTC and uRLLC.

Innovative load balancing technique PReQuaL minimizes latency in distributed systems by probing server load and estimating latency, improving performance for YouTube and other Google services.

Innovative distributed caching mechanism providing provable load balancing for large-scale storage systems. Partitions hot objects and adaptively routes queries, enabling linear cache throughput increase with node count.

Explore queuing theory, parallelism, and concurrency in Rails applications through a Star Trek-themed presentation. Learn to optimize scaling, manage resources, and improve performance using Sidekiq and Puma.

Discover strategies to overcome high workload using DevOps principles. Learn about queuing theory, capacity management, and how to initiate a virtuous circle of continuous improvement in your projects.