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Ops Development Stories

Maintained by a like‑minded team, covering both operations and development. Topics span Linux ops, DevOps toolchain, Kubernetes containerization, monitoring, log collection, network security, and Python or Go development. Team members: Qiao Ke, wanger, Dong Ge, Su Xin, Hua Zai, Zheng Ge, Teacher Xia.

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Latest from Ops Development Stories

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Ops Development Stories

Jul 14, 2025 · Artificial Intelligence

Mastering AIOps: Prompt Engineering, Function Calling, RAG, Graph RAG, and Local LLM Deployment

This comprehensive guide explores AIOps techniques such as prompt engineering, chat completions, memory management, function calling, fine‑tuning, retrieval‑augmented generation (RAG), graph‑based RAG, and practical steps for deploying open‑source large language models locally, providing code examples and best‑practice recommendations for modern DevOps environments.

AIOpsFunction CallingLocal LLM Deployment

0 likes · 47 min read

Mastering AIOps: Prompt Engineering, Function Calling, RAG, Graph RAG, and Local LLM Deployment

Ops Development Stories

Jul 3, 2025 · Cloud Native

Mastering IaC with Terraform: From Basics to Multi‑Environment Deployments

This article explains the fundamentals of Infrastructure as Code (IaC), its relationship with AIOps, and why Terraform is the preferred tool, then walks through Terraform architecture, core commands, state management, remote backends, project layout, and a complete multi‑environment deployment example on Alibaba Cloud.

Cloud NativeDevOpsIaC

0 likes · 24 min read

Mastering IaC with Terraform: From Basics to Multi‑Environment Deployments

Ops Development Stories

Jul 1, 2025 · Artificial Intelligence

From Lean to AIOps: How AI is Transforming Modern Operations

This comprehensive guide walks through the evolution from Lean and Agile practices to DevOps and finally AIOps, explaining core concepts, key algorithms, the role of large language models, RAG‑based root‑cause analysis, and practical implementation steps for intelligent operations.

AIOpsAgileLarge Language Models

0 likes · 19 min read

From Lean to AIOps: How AI is Transforming Modern Operations

Ops Development Stories

Jun 30, 2025 · Artificial Intelligence

Build a Private AI Knowledge Assistant with n8n: Zero‑Code RAG in 30 Minutes

This guide shows how to create a fully local Retrieval‑Augmented Generation (RAG) system using n8n, Docker, Ollama and the free Qwen3 embedding model, enabling secure, up‑to‑date AI assistants that answer enterprise questions without exposing any proprietary data.

AI assistantDockerEmbedding

0 likes · 17 min read

Build a Private AI Knowledge Assistant with n8n: Zero‑Code RAG in 30 Minutes

Ops Development Stories

Jun 19, 2025 · Operations

How to Build an Automated Prometheus Inspection System with Go

This article explains how to design and implement an automated inspection platform that leverages Prometheus and Grafana for metric collection, splits inspection tasks, schedules them with cron, generates reports, sends WeChat notifications, and exports results to PDF, all using Go and the gin‑vue‑admin framework.

Automated InspectionCloud NativeGo

0 likes · 17 min read

How to Build an Automated Prometheus Inspection System with Go

Ops Development Stories

Jun 15, 2025 · Artificial Intelligence

How to Deploy vLLM for Fast LLM Inference on GPU and CPU – A Step‑by‑Step Guide

This article walks through deploying the high‑performance vLLM LLM inference framework, covering GPU and CPU backend installation, environment setup, offline and online serving, API usage, and a performance comparison that highlights the ten‑fold speed advantage of GPU over CPU.

CPU deploymentGPU deploymentLLM inference

0 likes · 38 min read

How to Deploy vLLM for Fast LLM Inference on GPU and CPU – A Step‑by‑Step Guide

Ops Development Stories

Jun 12, 2025 · Cloud Native

One-Click GPU-Enabled Kind Cluster Setup for Running Large AI Models

This tutorial walks you through using a one‑click script to create a GPU‑enabled Kind Kubernetes cluster, evenly distribute GPU resources across nodes with nvkind, install necessary drivers and toolkits, deploy a vLLM‑served large language model, and verify its operation, all on a local or cloud environment.

AI Model DeploymentDockerGPU

0 likes · 23 min read

One-Click GPU-Enabled Kind Cluster Setup for Running Large AI Models

Ops Development Stories

Apr 30, 2025 · Artificial Intelligence

Unlock Your AI Assistant’s Power: A Step‑by‑Step Guide to Configuring MCP Filesystem

This comprehensive tutorial shows how to use the Model Context Protocol (MCP) to transform AI assistants like Claude, ChatWise, or Cherry Studio into powerful tools that can access your computer’s files, fetch real‑time information, interact with software, and even control smart devices, with clear step‑by‑step instructions, code examples, and troubleshooting tips.

AIClaudeConfiguration

0 likes · 20 min read

Unlock Your AI Assistant’s Power: A Step‑by‑Step Guide to Configuring MCP Filesystem

Ops Development Stories

Apr 15, 2025 · Cloud Native

Boost Kubernetes Management with AI: Introducing the Lightweight k8m Console

This article introduces k8m, a lightweight AI‑enhanced console for Kubernetes that simplifies cluster management, installation, configuration, and daily operations, while offering features such as YAML auto‑translation, AI‑driven event and log diagnostics, command generation, multi‑cluster support, and role‑based access control.

AICloud NativeDevOps

0 likes · 13 min read

Boost Kubernetes Management with AI: Introducing the Lightweight k8m Console

Ops Development Stories

Apr 15, 2025 · Artificial Intelligence

Unlocking the AI USB‑C: Deep Dive into the Model Context Protocol (MCP)

This article explores the Model Context Protocol (MCP), the emerging “USB‑C” for AI, detailing its core advantages, implementation with Kubernetes, a six‑layer cloud‑native architecture, practical code examples, and developer guidelines for building AI‑powered, secure, and scalable services.

AICloud NativeDevOps

0 likes · 8 min read

Unlocking the AI USB‑C: Deep Dive into the Model Context Protocol (MCP)