MaGe Linux Operations
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MaGe Linux Operations

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.

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Recent Articles

Latest from MaGe Linux Operations

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MaGe Linux Operations
MaGe Linux Operations
Jan 26, 2026 · Operations

Zero‑Downtime LVM Expansion: 5 Proven Methods to Grow Disk Space

This guide explains why traditional fixed partitions are problematic, introduces LVM's flexible storage pool architecture, lists five zero‑downtime expansion techniques—including adding new disks, resizing partitions, one‑command lvextend ‑r, thin provisioning, and VDO compression—and provides step‑by‑step commands, scripts, best‑practice tips, troubleshooting, and monitoring recommendations for reliable online storage growth.

Dynamic ExpansionLVMLinux
0 likes · 29 min read
Zero‑Downtime LVM Expansion: 5 Proven Methods to Grow Disk Space
MaGe Linux Operations
MaGe Linux Operations
Jan 23, 2026 · Operations

Master HAProxy ACLs: Dynamic Routing, Traffic Splitting, and Real‑Time Updates

This comprehensive guide explains HAProxy ACL fundamentals, showcases powerful routing patterns such as multi‑domain, path‑based, header‑based, and canary releases, provides step‑by‑step configuration examples, scripts for runtime adjustments, best‑practice recommendations, troubleshooting tips, and monitoring strategies for production‑grade load balancing.

ACLDynamic RoutingHAProxy
0 likes · 40 min read
Master HAProxy ACLs: Dynamic Routing, Traffic Splitting, and Real‑Time Updates
MaGe Linux Operations
MaGe Linux Operations
Jan 20, 2026 · Operations

How to Diagnose and Fix Full Disk Issues on Linux Servers – A Proven Checklist

This guide walks you through a complete Linux disk‑space troubleshooting workflow, from quickly checking usage and inode status, to locating large files with du, ncdu or dust, handling deleted‑but‑still‑open files, cleaning logs, Docker images, temporary data, adjusting reserved space, and setting up monitoring and alerts.

Linuxdisk spacesysadmin
0 likes · 42 min read
How to Diagnose and Fix Full Disk Issues on Linux Servers – A Proven Checklist
MaGe Linux Operations
MaGe Linux Operations
Jan 18, 2026 · Artificial Intelligence

How to Deploy Scalable LLM Inference on Kubernetes with GPU Autoscaling

This guide walks through building a production‑grade Kubernetes GPU cluster for large language model inference, covering hardware sizing, GPU resource scheduling, model storage options, automated scaling with HPA, health checks, monitoring, troubleshooting, and multi‑model deployment strategies.

DockerGPUInference
0 likes · 49 min read
How to Deploy Scalable LLM Inference on Kubernetes with GPU Autoscaling
MaGe Linux Operations
MaGe Linux Operations
Jan 12, 2026 · Backend Development

Master JVM Tuning on JDK 21: Reduce GC Pauses and Boost Throughput

This comprehensive guide walks you through diagnosing Full GC pauses on a Java 2020 production outage, explains JVM memory structures, compares JDK 21 garbage collectors, and provides step‑by‑step installation, configuration, and tuning instructions for Tomcat, monitoring tools, and real‑world case studies to achieve stable, high‑throughput services.

JDK21JVMLinux
0 likes · 33 min read
Master JVM Tuning on JDK 21: Reduce GC Pauses and Boost Throughput
MaGe Linux Operations
MaGe Linux Operations
Jan 9, 2026 · Operations

Mastering Crontab: 8 Common Pitfalls and Best‑Practice Solutions

This comprehensive guide explains what crontab is, its technical features, suitable use cases, detailed setup steps, common pitfalls such as environment variables, permissions, time zones, logging, and concurrency, and provides best‑practice configurations, troubleshooting methods, monitoring tips, and a comparison with systemd timers.

crontabschedulingsysadmin
0 likes · 43 min read
Mastering Crontab: 8 Common Pitfalls and Best‑Practice Solutions
MaGe Linux Operations
MaGe Linux Operations
Jan 8, 2026 · Operations

Master LVM Online Expansion: Zero‑Downtime Disk Scaling on Linux

This comprehensive guide explains why LVM solves traditional partition limits, details its core concepts, outlines prerequisites, and provides step‑by‑step commands for adding new disks, extending volume groups, logical volumes, and filesystems—including advanced scenarios, automation scripts, best‑practice tips, troubleshooting, and performance considerations.

Disk ExpansionLVMLinux
0 likes · 35 min read
Master LVM Online Expansion: Zero‑Downtime Disk Scaling on Linux
MaGe Linux Operations
MaGe Linux Operations
Jan 7, 2026 · Operations

How to Eliminate Alert Fatigue: 10 Proven Prometheus Alerting Techniques

This comprehensive guide walks you through the architecture of Prometheus and Alertmanager, shows how to design, write, and test robust alert rules, and shares ten practical techniques—including proper for‑durations, rate() usage, recording rules, multi‑level alerts, and inhibition—to dramatically reduce alert noise and improve SRE reliability.

AlertmanagerDevOpsMonitoring
0 likes · 40 min read
How to Eliminate Alert Fatigue: 10 Proven Prometheus Alerting Techniques
MaGe Linux Operations
MaGe Linux Operations
Jan 6, 2026 · Operations

60 Essential Linux Commands Every Sysadmin Should Master

A comprehensive, fast‑track guide for Linux system administrators that covers modern tools, shell configuration, and over 60 indispensable commands for file handling, text processing, system monitoring, networking, process control, permissions, and disk management, plus best‑practice tips and troubleshooting scripts.

AutomationCLILinux
0 likes · 47 min read
60 Essential Linux Commands Every Sysadmin Should Master
MaGe Linux Operations
MaGe Linux Operations
Jan 6, 2026 · Artificial Intelligence

How SGLang Boosted LLM Inference on H800 GPUs to 420 Tokens/s

This guide details how switching from vLLM to SGLang on eight NVIDIA H800 GPUs increased Llama‑3‑70B‑Instruct throughput from 180 to 420 tokens per second, covering SGLang’s core innovations, environment setup, configuration tweaks, performance benchmarks, troubleshooting tips, and production‑grade deployment scripts.

FlashInferGPU OptimizationH800
0 likes · 19 min read
How SGLang Boosted LLM Inference on H800 GPUs to 420 Tokens/s