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Cloud Architecture

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.

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Latest from Cloud Architecture

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Cloud Architecture

Jul 13, 2026 · Backend Development

Production-Grade Payment System Guide: Java Implementation for Alipay & WeChat All-Channel Integration

This article explains why a payment system is more than a simple SDK integration, presents a four‑layer architecture (access, state, event, governance), details state machines, idempotent callbacks, outbox pattern, reconciliation, high‑concurrency handling, observability, security, and provides Java code examples for integrating Alipay and WeChat across all channels.

AlipayHigh ConcurrencyIdempotency

0 likes · 29 min read

Production-Grade Payment System Guide: Java Implementation for Alipay & WeChat All-Channel Integration

Cloud Architecture

Jul 13, 2026 · Cloud Native

Ultimate Guide to Choosing the Right kube-proxy Mode for Production Kubernetes

This comprehensive guide explains how kube-proxy drives Service traffic in Kubernetes, compares userspace, iptables, IPVS, nftables and eBPF modes, and provides a four‑dimensional decision framework, migration steps, monitoring practices, and real‑world examples to help operators select the optimal mode for their clusters.

IPVSiptableskube-proxy

0 likes · 25 min read

Ultimate Guide to Choosing the Right kube-proxy Mode for Production Kubernetes

Cloud Architecture

Jul 12, 2026 · Databases

Database Performance Optimization: 100× Speed Gains Without Changing SQL

Even without rewriting any SQL, database performance can improve up to a hundredfold by first diagnosing bottlenecks, reducing unnecessary traffic, layering read paths, optimizing indexes, tuning connection pools, and progressively evolving from a single‑node setup to read‑write separation, sharding, and distributed read models.

Connection PoolMySQLPerformance Optimization

0 likes · 38 min read

Database Performance Optimization: 100× Speed Gains Without Changing SQL

Cloud Architecture

Jul 9, 2026 · Backend Development

How Spring Boot, Kafka, Redis, and MongoDB Power Real‑Time GPS Tracking for Millions of Vehicles

This article walks through a production‑grade architecture that uses Spring Boot, Kafka, Redis, and MongoDB to ingest, buffer, order, and store high‑frequency vehicle GPS data from hundreds of thousands of devices while guaranteeing low latency, scalability, fault‑tolerance, and accurate replay capabilities.

High ConcurrencyMicroservicesMongoDB

0 likes · 38 min read

How Spring Boot, Kafka, Redis, and MongoDB Power Real‑Time GPS Tracking for Millions of Vehicles

Cloud Architecture

Jul 8, 2026 · Backend Development

High‑Concurrency Order System Architecture: How Redis, MySQL, and Elasticsearch Collaborate Without Overstepping

This article presents a production‑grade, high‑concurrency order system design that separates responsibilities among Redis for traffic control, MySQL as the single source of truth, Kafka for event propagation, and Elasticsearch for search, while detailing state‑machine modeling, outbox patterns, seckill flow, and comprehensive observability and deployment practices.

High ConcurrencyMySQLRedis

0 likes · 31 min read

High‑Concurrency Order System Architecture: How Redis, MySQL, and Elasticsearch Collaborate Without Overstepping

Cloud Architecture

Jul 7, 2026 · Databases

MySQL User & Permission Management: From Grant Statements to Production-Grade Security Architecture

This comprehensive guide explains why MySQL permission mistakes happen, walks through the authentication and authorization process, shows how to design multi‑layered user models, role hierarchies, declarative GitOps workflows, Kubernetes integration, and production‑ready automation for secure, auditable, and scalable database access.

GitOpsMySQLPermission

0 likes · 42 min read

MySQL User & Permission Management: From Grant Statements to Production-Grade Security Architecture

Cloud Architecture

Jul 7, 2026 · Backend Development

From HTTP Polling to MQTT Push: Evolving High‑Concurrency IoT Device Access Architecture

Switching from HTTP polling to MQTT for massive IoT deployments requires rethinking connection models, topic design, state management, and engineering practices, as the article details the architectural evolution, four‑plane production design, code patterns, and operational safeguards needed for reliable high‑concurrency device access.

ArchitectureDevice AccessEvent Streaming

0 likes · 46 min read

From HTTP Polling to MQTT Push: Evolving High‑Concurrency IoT Device Access Architecture

Cloud Architecture

Jul 6, 2026 · Backend Development

Spring Boot Template Engine Mix: Designing a Multi‑Engine Coexistence Architecture for Production

The article explains why running multiple template engines in a Spring Boot application becomes an operational challenge, outlines a four‑layer architecture and routing strategies, provides concrete code for a custom ViewResolver, configuration, observability, deployment, testing and migration steps, and shows how to govern the process safely in production.

Spring Bootfreemarkerkubernetes

0 likes · 39 min read

Spring Boot Template Engine Mix: Designing a Multi‑Engine Coexistence Architecture for Production

Cloud Architecture

Jul 6, 2026 · Backend Development

Designing a High‑Concurrency Coupon Expiration System with Task Tables and Batch Processing

The article explains why coupon expiration cannot be handled by a simple scheduled scan and presents a production‑grade architecture that uses a task‑table, four‑plane design, fine‑grained splitting, lease‑based worker coordination, idempotent updates, and observability to reliably expire billions of coupons under peak load.

Batch ProcessingConcurrencyMySQL

0 likes · 37 min read

Designing a High‑Concurrency Coupon Expiration System with Task Tables and Batch Processing

Cloud Architecture

Jul 5, 2026 · Databases

Production‑grade Elasticsearch: From Lucene Internals to Billion‑scale Search Architecture

This article explains why running Elasticsearch in production is far more complex than a simple API tutorial, covering Lucene fundamentals, mapping design, shard planning, write‑path architecture, query optimization, hot‑warm‑cold tiering, ILM policies, capacity planning, monitoring, incident handling, and a step‑by‑step evolution roadmap for building a reliable, scalable search system.

Cluster ManagementIndex ModelingLucene

0 likes · 54 min read