Focused on sharing DevOps, Kubernetes, Linux, Docker, Istio, microservices, Spring Cloud, Python, Go, databases, Nginx, Tomcat, cloud computing, and related technologies.
AIOps leverages AI, big‑data analytics, and automation to address the growing complexity of campus IT operations, offering intelligent anomaly detection, automated root‑cause analysis, resource optimization, smart incident response, and AI‑enhanced security, as demonstrated in the Service One platform.
Learn why smaller Docker images boost build speed and deployment efficiency, then master Docker’s multi‑stage build technique—including basic concepts, a Go example, layer reduction, cache optimization, minimal base images, non‑root users, and build arguments—to produce lightweight, secure, and maintainable containers.
This guide explains how to deploy large‑scale AI models such as Ollama and DeepSeek‑R1 on a Kubernetes 1.30 cluster, covering hardware requirements, PVC and deployment manifests, service exposure, image pulling, verification steps, API access, and monitoring with Prometheus and Grafana.
This guide walks you through preparing a Tencent Cloud account, creating a Cloud Studio workspace, installing Ollama, downloading and running the DeepSeek‑R1 large language model, interacting via terminal or API, and managing resources and model versions.
This guide walks you through installing Ollama on Linux, configuring its service, pulling the Deepseek‑R1 model, and exposing a friendly Open‑WebUI Docker interface for interactive AI chat and private knowledge‑base uploads.
This step‑by‑step guide shows how to set up a full LNMP stack, compile and configure Zabbix server, proxy, and agents on CentOS 7, covering repository setup, service initialization, database preparation, UI initialization, and host registration for a robust distributed monitoring solution.
This guide walks you through Ansible fundamentals, installation, core concepts, sample playbooks, advanced modules like templates and handlers, dynamic inventory, and Ansible Tower, enabling you to automate configuration management and deploy complex environments such as LAMP stacks with confidence.
This guide walks through a complete Kubernetes DevOps case study, detailing how to containerize micro‑services, create Docker images, write deployment and service manifests, set up a CI/CD pipeline with Jenkins or GitLab CI, integrate monitoring with Prometheus‑Grafana, manage logs via ELK/EFK, optionally add a service mesh, and perform fault‑injection testing for continuous optimization.
This guide compiles a comprehensive set of Linux command‑line utilities—including shell quoting rules, environment handling, text processing, process management, system monitoring, networking, and /proc filesystem exploration—to help sysadmins diagnose, locate, and resolve a wide range of system issues efficiently.
K3k is a lightweight, experimental tool from Rancher that streamlines the installation and management of K3s clusters via a simple CLI and Helm‑deployed controller, enabling developers to quickly spin up, test, and tear down Kubernetes environments locally or in CI/CD pipelines.
