Focuses on cloud‑native and distributed architecture engineering, sharing practical solutions and lessons learned. Covers microservice governance, Kubernetes, observability, and stability engineering to help your systems run stable, fast, and cost‑effectively.
This article details a real‑world migration of an e‑commerce order system from a Kubernetes‑based microservice stack to a Serverless architecture using API Gateway, Lambda, SQS, EventBridge, DynamoDB and Step Functions, achieving roughly 70% cost reduction and 90% lower operational overhead.
This article presents a step‑by‑step design of HermesMQ, an industrial‑grade message queue built from scratch to support ten‑million‑order traffic, covering storage as sequential logs, network architecture with Netty and Reactor, high‑availability replication, partition ordering, transaction messaging, back‑pressure, observability, and practical deployment guidelines.
This article explains why and how to build a Kafka‑grade message‑queue kernel from scratch, detailing functional and non‑functional goals, core design principles, storage layout, replication, consumer‑group coordination, performance optimizations, deployment on Kubernetes, and a step‑by‑step roadmap to production‑grade reliability.
The article analyses why exporting billions of Elasticsearch documents requires a full‑stack platform rather than a one‑off script, detailing the pitfalls of naive pagination, the benefits of PIT + search_after + slicing, and a complete architecture with Kafka, Redis, MySQL, Kubernetes and observability for reliable, scalable offline data export.
The article explains how backend teams can achieve safe, traceable, and continuously controllable production releases for large microservice systems by building a Git‑centric engineering pipeline that covers commit conventions, branch strategies, automated versioning, immutable artifacts, GitOps configuration, and progressive canary rollouts on Kubernetes.
This article walks through the redesign of a high‑traffic, multi‑dimensional DAU counting system that grew from 8 GB of Redis Set memory to a 24 MB HyperLogLog‑based solution supporting 200 million daily active users, 40 k QPS, and flexible time‑window queries while keeping latency under 20 ms.
This article analyses why traditional CI/CD pipelines become a bottleneck when services grow to hundreds, outlines a production‑grade, four‑plane architecture for Kubernetes that delivers declarative, auditable, concurrent, rollback‑able, gray‑scale, and extensible high‑frequency deployments, and provides concrete examples, code snippets, and a step‑by‑step rollout plan.
This article walks through the step‑by‑step design of a production‑ready AIOps platform that tackles massive alert storms in a large e‑commerce environment by unifying signal ingestion, deduplication, RBAC, outbox‑driven event publishing, and sub‑second WebSocket push, all backed by Spring Boot 3.x, MySQL, Redis and RocketMQ.
The article walks through the entire Kubernetes storage lifecycle, explaining how Volumes, PersistentVolumeClaims, PersistentVolumes, StorageClasses and CSI interact, and shows real‑world production scenarios, common pitfalls, and practical guidance for designing reliable, scalable storage solutions for stateful workloads.
This article presents a comprehensive, step‑by‑step analysis of building a flash‑sale (seckill) system that can survive instant traffic spikes, detailing seven essential design ideas such as static page delivery, token gating, Redis atomic decrement, asynchronous queuing, multi‑layer rate limiting, service isolation, idempotent processing, and end‑to‑end monitoring and recovery.
