queue theory | BestHub

DevOps

Mar 28, 2016 · R&D Management

Random Events in Software Development: Insights from Coin‑Toss Experiments

The article explains how random events such as urgent bug fixes, integration failures, and sudden requirement changes disrupt software development, using a coin‑toss analogy to illustrate statistical principles like binomial distribution and the central limit theorem, and recommends limiting work‑in‑process to manage queue‑induced delays.

LeanSoftware DevelopmentWIP

0 likes · 8 min read

Random Events in Software Development: Insights from Coin‑Toss Experiments

Qunar Tech Salon

Jan 19, 2015 · Operations

Optimization Strategies for High‑Concurrency Ticketing Systems

The article analyzes the challenges of high‑traffic ticketing platforms, compares business models, identifies concurrency bottlenecks, and presents comprehensive front‑end and back‑end optimization techniques—including load balancing, caching, data partitioning, and queue‑based flow control—to achieve horizontal scalability and reliable performance.

cachinghigh concurrencyhorizontal scaling

0 likes · 7 min read

Optimization Strategies for High‑Concurrency Ticketing Systems