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Raymond Ops

Linux ops automation, cloud-native, Kubernetes, SRE, DevOps, Python, Golang and related tech discussions.

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Latest from Raymond Ops

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Raymond Ops

Jun 27, 2026 · Artificial Intelligence

vLLM Quantized Inference: Loading AWQ/GPTQ Models and Optimizing GPU Memory

This article provides a step‑by‑step guide on using vLLM to load AWQ and GPTQ quantized large language models, covering environment setup, calibration data preparation, model quantization, deployment scripts, performance benchmarking, accuracy checks, best‑practice recommendations, and troubleshooting tips for GPU memory optimization.

AWQGPTQGPU memory optimization

0 likes · 45 min read

vLLM Quantized Inference: Loading AWQ/GPTQ Models and Optimizing GPU Memory

Raymond Ops

Jun 27, 2026 · Operations

Hands‑On DNS Ops: Deploy BIND and CoreDNS with Full Troubleshooting Guide

This comprehensive guide walks you through DNS fundamentals, compares BIND, CoreDNS, PowerDNS and Unbound, provides step‑by‑step deployment scripts for BIND 9.20 and CoreDNS 1.12, explains DNSSEC configuration, caching optimizations, security hardening, high‑availability designs, monitoring, backup and recovery procedures, and advanced troubleshooting techniques.

BINDCoreDNSDNS

0 likes · 43 min read

Hands‑On DNS Ops: Deploy BIND and CoreDNS with Full Troubleshooting Guide

Raymond Ops

Jun 26, 2026 · Databases

Master MySQL Performance: Full Process for Slow Query Analysis and Index Tuning

This guide walks through MySQL performance troubleshooting—from enabling and analyzing slow‑query logs with pt‑query‑digest, interpreting EXPLAIN plans, designing covering and composite indexes, tuning InnoDB buffer pool and connection settings, to best‑practice recommendations and real‑world case validation.

EXPLAINMySQLbuffer pool

0 likes · 27 min read

Master MySQL Performance: Full Process for Slow Query Analysis and Index Tuning

Raymond Ops

Jun 25, 2026 · Operations

Linux Kernel Sysctl Tuning: Common Pitfalls and Values You Shouldn’t Change Blindly

This guide explains how to safely tune Linux kernel sysctl parameters by first identifying the problem layer, backing up current settings, applying targeted changes, and verifying effects, while highlighting common mis‑configurations, real‑world case studies, best‑practice recommendations, and monitoring strategies.

LinuxMemory Managementbackup and rollback

0 likes · 18 min read

Linux Kernel Sysctl Tuning: Common Pitfalls and Values You Shouldn’t Change Blindly

Raymond Ops

Jun 24, 2026 · Operations

How to Diagnose Linux Server CPU Spikes: A Practical Step‑by‑Step Guide

This article presents a systematic, evidence‑driven process for locating and resolving high CPU usage on Linux servers, covering environment preparation, layered troubleshooting from whole‑machine to thread level, concrete command examples, real‑world case studies, best‑practice recommendations, and monitoring configurations.

CPULinuxTroubleshooting

0 likes · 33 min read

How to Diagnose Linux Server CPU Spikes: A Practical Step‑by‑Step Guide

Raymond Ops

Jun 23, 2026 · Information Security

Linux Intrusion Detection and Incident Response: A Practical Guide to Security Event Investigation

This guide walks through building a layered intrusion detection system on Linux, comparing HIDS tools such as AIDE, rkhunter, and auditd, detailing installation, configuration, baseline management, automated response scripts, forensic data collection, monitoring, and best‑practice hardening for effective security event investigation and remediation.

AIDELinuxSecurity

0 likes · 48 min read

Linux Intrusion Detection and Incident Response: A Practical Guide to Security Event Investigation

Raymond Ops

Jun 22, 2026 · Artificial Intelligence

Elastic Deployment and GPU Scheduling for Large‑Model Inference with vLLM on Kubernetes

This article presents a detailed, step‑by‑step analysis of deploying the high‑performance vLLM inference engine on Kubernetes, covering GPU memory management, tensor parallelism, quantization choices, continuous batching, and automated scaling with HPA/KEDA to achieve low latency and high throughput for large language models.

DockerGPU SchedulingKubernetes

0 likes · 49 min read

Elastic Deployment and GPU Scheduling for Large‑Model Inference with vLLM on Kubernetes

Raymond Ops

Jun 22, 2026 · Operations

How to Deploy MinIO: Build a Private S3‑Compatible Object Storage Solution

This guide walks through the complete deployment of MinIO, an S3‑compatible object storage system, covering single‑node and erasure‑coded multi‑node clusters, hardware planning, TLS setup, bucket policies, lifecycle management, security hardening, monitoring with Prometheus, backup strategies, and detailed troubleshooting procedures, all backed by concrete commands and configuration examples.

MinIOObject StorageTLS

0 likes · 36 min read

How to Deploy MinIO: Build a Private S3‑Compatible Object Storage Solution

Raymond Ops

Jun 21, 2026 · Cloud Native

Stop Pods From “Running Wild”: A Practical Guide to Kubernetes Scheduling Strategies

This guide explains why default Kubernetes scheduling often falls short in production, introduces nodeSelector, nodeAffinity, podAffinity/anti‑affinity, taints/tolerations, topologySpreadConstraints and PriorityClass, and provides step‑by‑step configuration examples, real‑world use cases, best‑practice recommendations, troubleshooting tips, and monitoring alerts to ensure reliable pod placement.

KubernetesNodeAffinityPod Scheduling

0 likes · 36 min read

Stop Pods From “Running Wild”: A Practical Guide to Kubernetes Scheduling Strategies

Raymond Ops

Jun 20, 2026 · Operations

Eliminate Monitoring Blind Spots: Hands‑On Enterprise‑Grade Prometheus + Grafana Deployment

This comprehensive guide walks you through the end‑to‑end setup of a production‑grade Prometheus and Grafana monitoring stack, covering architecture choices, installation steps, configuration details, high‑availability designs, performance tuning, security hardening, troubleshooting, backup strategies, and best‑practice recommendations.

AlertingGrafanaHigh Availability

0 likes · 49 min read

Eliminate Monitoring Blind Spots: Hands‑On Enterprise‑Grade Prometheus + Grafana Deployment