Over ten years of BAT architecture experience, shared generously!
This guide explains how to unleash Nginx’s full concurrency potential by configuring worker_processes, worker_connections, system limits (ulimit and sysctl), and multi_accept, providing practical code snippets, verification commands, and a ready‑to‑use high‑traffic configuration example.
This article explains how to architect a database system that can sustain tens of millions of queries per second by combining sharding, read‑write separation, multi‑layer caching, traffic shaping, and robust high‑availability strategies to keep most requests off the database and ensure reliable data storage.
This article explains the thundering herd problem in Nginx when many workers compete for new connections and provides four practical solutions—accept_mutex, reuseport, multi_accept, and keepalive_timeout—along with configuration examples to improve high‑concurrency performance.
This guide explains the core concepts, architecture components, authentication flow, and real‑world deployment scenarios of Single Sign‑On (SSO) systems, helping architects build unified, secure login solutions for web, mobile, and micro‑service environments.
Redis achieves sub‑millisecond response times by storing all data in RAM, using a single‑threaded event loop with I/O multiplexing (epoll/select/poll), and employing highly optimized data structures such as skip lists and hash tables that provide O(1) or O(log N) operations.
This guide explains how to maximize Nginx concurrency by configuring worker_processes, worker_connections, keepalive_timeout, and high‑performance I/O options such as sendfile, tcp_nopush, and tcp_nodelay, including formulae, example calculations, recommended values, and system‑level considerations.
This article explains what high concurrency means for Kafka, outlines key performance metrics such as QPS, TPS, throughput and latency, and provides concrete configuration and architectural techniques—including broker optimization, horizontal scaling, network batching, and zero‑copy—to achieve write rates exceeding one million records per second.
This guide explains Spring Cloud Config's role in microservice architectures, covering its core features, architecture components, workflow, and step‑by‑step setup—including server creation, repository configuration, client integration, and optional dynamic refresh—while providing practical code snippets and diagrams.
The article explains how Kafka achieves high throughput by writing messages sequentially to disk, leveraging OS page cache and zero‑copy system calls, using partitioned topics for parallelism, batching and compressing records on both producer and broker sides, and employing asynchronous replication with configurable persistence strategies.
Redis delivers millisecond‑level response and millions of operations per second by storing data entirely in memory, using a single‑threaded event‑driven model, efficient I/O multiplexing with epoll, and highly optimized data structures such as strings, hashes, lists, sets and sorted sets.
