Focused on sharing DevOps, Kubernetes, Linux, Docker, Istio, microservices, Spring Cloud, Python, Go, databases, Nginx, Tomcat, cloud computing, and related technologies.
This guide walks through upgrading a binary‑deployed Kubernetes cluster from v1.30.0 to v1.32.3, covering preparation, master and node upgrade procedures, deprecated API handling, validation, rollback, and best‑practice recommendations for production environments.
This article walks through Nginx's role as a high‑performance reverse proxy and load balancer, explains core concepts, provides step‑by‑step configuration examples—including upstream pools, server blocks, and location directives—and details performance optimizations such as gzip, connection reuse, worker settings, static‑file caching, and proxy caching.
This guide walks through two practical examples—creating a Docker image for Nginx with a custom HTML page and packaging a Go Gin‑based web service into a container—covering directory setup, Dockerfile creation, image building, container execution, and verification steps.
This guide explains how to upgrade a Kubernetes cluster from v1.30.0 to v1.30.1 without service interruption by backing up etcd, checking health, planning the rollout, upgrading master nodes and Calico, and using rolling updates and Istio canary releases for seamless application migration.
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.
