Founded in 2009, MaGe Education is a top Chinese high‑end IT training brand. Its graduates earn 12K+ RMB salaries, and the school has trained tens of thousands of students. It offers high‑pay courses in Linux cloud operations, Python full‑stack, automation, data analysis, AI, and Go high‑concurrency architecture. Thanks to quality courses and a solid reputation, it has talent partnerships with numerous internet firms.
This comprehensive guide walks you through rsync’s core delta algorithm, essential options, and real‑world backup scenarios, then dives into advanced techniques like link‑dest incremental snapshots, SSH vs daemon modes, cron scheduling, inotify real‑time sync, bandwidth control, verification, monitoring, and security best practices.
A comprehensive, step‑by‑step guide for SREs and DevOps engineers to diagnose and resolve common Kubernetes pod issues—including CrashLoopBackOff, OOMKilled, ImagePullBackOff, Pending, Evicted, and Terminating—by leveraging pod lifecycle knowledge, kubectl commands, logs, events, node inspection, scripts, real‑world case studies, and monitoring best practices.
This guide reveals the ten most common operations mishaps—from accidental rm‑rf deletions to firewall rule errors—explains real‑world case studies, provides step‑by‑step remediation commands, and offers preventive best‑practice checklists, scripts, and monitoring setups to keep your production environment safe.
This comprehensive guide explains NFS fundamentals, version differences, mounting procedures, common failure categories, core concepts like RPC and file handles, environment requirements, step‑by‑step installation and configuration, performance tuning parameters, real‑world case studies, monitoring, backup, and best‑practice recommendations for reliable NFS deployments.
This guide walks through deploying a production‑grade vLLM inference service on Kubernetes, covering GPU resource scheduling, Service and Ingress configuration, session affinity, health checks, performance tuning, scaling, monitoring, fault‑tolerance, and best‑practice recommendations for high‑availability AI workloads.
This comprehensive guide walks you through Linux host hardening by explaining the security baseline, detailing default configurations, highlighting common pitfalls, and providing concrete, verifiable adjustments for account policies, SSH, firewalls, kernel parameters, file permissions, and audit logging, complete with scripts, examples, and real‑world case studies.
This guide walks through a systematic, step‑by‑step process for identifying, analyzing, and resolving memory‑related incidents in a high‑traffic thumbnail generation service running in Kubernetes, covering everything from initial symptom checks with free and vmstat to deep dives using smem, pmap, smaps, perf, and post‑mortem verification.
This guide explains the five common sources of GPU memory consumption in large‑model inference services, provides a step‑by‑step diagnosis workflow—from static usage and KV‑Cache analysis to concurrency and K8s scheduling—offers concrete command‑line checks, scripts, configuration examples, and actionable remediation and monitoring recommendations.
This guide explains why MySQL replication lag spikes, how to distinguish IO‑thread pull problems from SQL‑thread apply bottlenecks, provides step‑by‑step commands, configuration examples, real‑world case studies, best‑practice recommendations, and monitoring setups to reliably troubleshoot and prevent replication delays.
This guide walks you through DNS fundamentals, compares BIND, CoreDNS, PowerDNS and Unbound, provides step‑by‑step installation and configuration scripts for BIND 9 and CoreDNS on Linux and Kubernetes, explains caching, DNSSEC, security hardening, high‑availability designs, monitoring, backup and recovery, and shares best‑practice tips for production environments.
