Automation Scripts

Overview Three ops engineers, 200 servers. Every morning: SSH into each one, check disk, memory, CPU, connection count, certificate expiry… the entire morning is gone. When a sudden outage hits, there is no time to inspect — the problem has already exploded in user complaints. This is not an isolated case. Many small-to-mid teams still do ops inspection the “manual + script” way — a few Shell scripts scattered across machines, unmaintained, nobody knows when they last ran, and nobody reads the output....

Overview Monitoring systems themselves need to be monitored. Prometheus collects metrics from your entire infrastructure, but if Prometheus’s own configuration has issues, a target goes down, an SSL certificate is about to expire, or an alerting rule has a syntax error — who discovers these problems? The answer: an automated inspection script set. This article builds a complete inspection toolkit around the Prometheus ecosystem, covering “probing → certificate checking → config auditing → rule validation → alert simulation → report generation....

Why Go Is Ideal for Ops Tools Ops CLI tools demand high deployment convenience and execution efficiency — areas where Go has natural advantages: Advantage Description Compared to Python Single binary Compiles to a standalone executable with no runtime dependencies Requires Python environment + dependencies Cross-platform GOOS/GOARCH cross-compilation — write once, run anywhere Requires virtualenv management Startup speed Millisecond-level cold start Interpreter overhead Concurrency model Lightweight goroutines Requires threading/asyncio Memory footprint Low memory usage as a static binary Interpreter overhead Mature ecosystem Standard library covers networking/files/crypto Relies on third-party libraries Kubernetes, Docker, Terraform, Prometheus — the core cloud-native tools are all written in Go....

paramiko: SSH Batch Management Fundamentals paramiko is a Python implementation of the SSHv2 protocol and the foundational building block for ops automation. When you need fine-grained control over SSH connections or need to handle non-standard scenarios, paramiko offers maximum flexibility. Basic Connection and Command Execution import paramiko import time def ssh_exec(host, port, username, password, command): """Basic SSH command execution""" client = paramiko.SSHClient() # Auto-add host keys (use known_hosts in production) client....

Overview In automated operations, Ansible Playbooks frequently handle sensitive information such as database passwords, API keys, and SSH private keys. If this data is stored in plaintext in code repositories, a single repository leak exposes all credentials. Ansible Vault, Ansible’s built-in encryption tool, protects sensitive data using the AES-256 symmetric encryption algorithm, ensuring that only authorized users can access it. This article will systematically cover Ansible Vault usage, password management strategies, and CI/CD pipeline integration—from basic concepts to production practices....

Overview Pipeline as Code is the watershed moment when Jenkins evolved from “drag-and-drop configuration” to “code-driven.” Defining pipelines in a Jenkinsfile under Git version control means every pipeline change has a diff to review, a history to trace, and a branch to roll back. This article systematically covers Pipeline as Code practices, from Jenkinsfile syntax to production-grade pipeline design. Reference: Jenkins Pipeline Official Documentation I. Jenkinsfile Syntax 1.1 Declarative vs. Scripted Jenkins Pipeline has two syntax styles:...

GitOps Core Principles GitOps is a modern continuous delivery methodology introduced by Weaveworks in 2017. It uses Git as the Single Source of Truth for infrastructure and application configuration, achieving continuous deployment through declarative practices. According to the ArgoCD documentation, GitOps follows four core principles: 1. Declarative System Infrastructure and application configurations are stored in Git as declarative descriptions (YAML/Helm/Kustomize): # Example Git repository structure infra-repo/ ├── apps/ │ ├── frontend/ │ │ ├── deployment....

Overview Logs are the most authentic record left by a running system. When something goes wrong in production, logs are the first crime scene; when you need insight into system behavior, logs are the richest data source. But log analysis isn’t just about grep-ing a few keywords — facing tens of GB of logs daily, you need efficient parsing, flexible aggregation, intelligent anomaly detection, and clear visualization. This article builds a complete log analysis toolkit from scratch using Python....

Overview The earlier code quality issues are caught, the cheaper they are to fix. Catching issues at commit time is faster than at CI time, and catching them at CI time is faster than fixing them after they cause production incidents. Git Hooks provide the ability to automatically run checks at critical points — commit and push — including code formatting, linting, commit message validation, and test execution. This article covers everything from Git Hooks fundamentals to toolchain practices, building a code quality automation system from local to CI....

Overview Ansible has a low barrier to entry — a YAML file and a few lines of yum install can get things running. But when you face hundreds of servers, multiple environments, complex dependencies, and strict change audit requirements, the gap between “it runs” and “it’s production-ready” is an entire engineering discipline. This article distills the core practices of production-grade Playbooks into an actionable guide, covering the full chain from structure organization to performance optimization....