Over ten years of BAT architecture experience, shared generously!
This article clarifies the distinct concepts of concurrency, parallelism, and asynchrony, detailing their definitions, implementation mechanisms, resource needs, timing semantics, and ideal use‑cases to help developers choose the right model for high‑performance systems.
This article explains Kafka's high‑availability architecture, covering multi‑replica replication, leader‑follower election and failover, the role of In‑Sync Replicas, and producer acknowledgment settings with min.insync.replicas for reliable, zero‑data‑loss streaming.
Learn how to package each microservice into containers and host them on a Kubernetes cluster, covering architecture diagrams, Ingress traffic routing, service discovery, ConfigMap and Secret management, persistent storage, deployment manifests, autoscaling, and CI/CD automation, while avoiding promotional fluff.
This article explains four core load‑balancing algorithms—Round Robin, Weighted Round Robin, Random, and Least Connections—detailing their principles, advantages, drawbacks, and typical scenarios where each method best fits modern backend systems.
Increasing a database connection pool size often worsens performance under massive traffic because the bottleneck lies in hardware limits and management overhead, so developers must adopt async processing, read‑write splitting, caching, sharding, and proper pool tuning to sustain high concurrency.
This guide outlines four primary microservice deployment strategies—Kubernetes orchestration, service‑mesh architecture, containerization, and serverless functions—detailing their principles, core advantages, and ideal use cases for large‑scale distributed systems, and highlights self‑healing, auto‑scaling, zero‑ops, and observability features that help handle massive traffic spikes.
This article explains how e‑commerce flash‑sale systems handle extreme concurrency by defining TPS requirements for different scales, applying a layered filtering architecture, and using techniques like CDN caching, rate limiting, Redis pre‑deduction, and minimal database writes to ensure stability.
This article explains the principle of Nginx static‑dynamic separation, shows how to configure location blocks and caching for static assets, and demonstrates how proxying dynamic requests to backend servers can reduce response time from 200 ms to 50 ms, increasing QPS several‑fold.
This article explains Kafka’s core mechanisms for preventing data loss, covering replica architecture, leader‑follower roles, ACK policies with ISR, log persistence and flush strategies, as well as producer idempotence and transactional support that together ensure reliable, exactly‑once delivery.
This guide provides a comprehensive cheat‑sheet of Nginx command‑line operations—including how to start, stop, reload, check configuration, view logs, inspect processes, query version information and perform common debugging tasks—helping administrators manage Nginx efficiently in production and development environments.
