Practice together, never alone. We cover programming languages, development tools, learning methods, and pitfall notes. We simplify complex topics, guiding you from beginner to advanced. Weekly practical content—let's grow together!
The article explains how network protocols have evolved from raw TCP sockets to standardized HTTP and finally to RPC frameworks, showing that each step is an abstraction upgrade rather than a replacement, and clarifies when to use HTTP versus RPC based on system boundaries and engineering trade‑offs.
This guide presents a production‑grade, step‑by‑step approach to boost Elasticsearch performance, covering advanced index design, mapping best practices, query and aggregation tuning, JVM and cluster settings, bulk write optimization, monitoring, and real‑world log‑system scenarios with concrete code examples and configuration snippets.
This guide walks through the fundamentals and advanced configurations for proxying WebSocket connections with Nginx, covering protocol upgrade handling, timeout tuning, Docker/Kubernetes deployment, security hardening, troubleshooting, and performance optimization for reliable production use.
This article walks through the design and implementation of a production‑ready article interaction system—including likes, collections, and reads—using Go, Gin, Redis, MySQL, Kafka, and Vue, covering architecture, data modeling, high‑concurrency handling, idempotency, rate limiting, and reconciliation.
This article walks through converting a single‑service article interaction module—handling likes, favorites, and reads—into independent microservices deployed on Kubernetes, detailing architecture goals, service separation, Redis‑based high‑concurrency handling, Kafka async persistence, deployment configurations, auto‑scaling, and real‑world performance results.
This guide walks through designing a full‑stack Go microservice architecture that integrates Nacos for service discovery and dynamic configuration, adds rate‑limiting, circuit‑breaking, and load‑balancing, and deploys the whole system on Kubernetes with graceful shutdown and real‑time governance.
This guide walks through constructing a sustainable performance‑engineering pipeline—from monitoring and metrics collection with SkyWalking, Prometheus, and Grafana, through targeted load testing and bottleneck analysis, to capacity modeling and alert solidification—for Spring Boot services.
This guide walks you through implementing a complete stability engineering system for Go microservices—covering token‑bucket rate limiting, concurrency and Redis‑based throttling, circuit breakers with slow‑request detection, graceful degradation strategies, Kubernetes‑aware deployment, monitoring, dynamic configuration, and load‑testing to set safe thresholds.
Learn how to build an industrial‑grade observability stack for Go microservices by integrating OpenTelemetry for tracing, binding TraceID to structured logs with Zap, configuring exporters, automating HTTP instrumentation, designing sampling strategies, and visualizing data through Jaeger, Loki, and Prometheus.
This guide presents a step‑by‑step SOP for safely decommissioning and provisioning Kubernetes nodes in production, covering lifecycle labeling, RBAC safeguards, draining procedures, validation checks, handling StatefulSets and local storage, automation tips, and real‑world incident examples to ensure zero downtime and data loss.
