This article presents ten common Linux shell interview questions, providing clear explanations, command-line solutions, code examples, and step‑by‑step guidance on script termination, file header removal, line length checking, non‑printable character display, directory permissions, process states, cut, cmp vs diff, echo vs ls, and inode basics.
This tutorial walks through a real‑world Python office‑automation task: extracting rows for a specific archive name from dozens of Excel worksheets and consolidating them into a new workbook, complete with step‑by‑step analysis and full code examples.
This guide explains the drawbacks of fixed positional parameters in shell scripts, demonstrates simple examples, and introduces the getopts utility to handle named options, optional arguments, and error suppression, enabling more flexible, readable, and maintainable command-line interfaces.
This article introduces AppleScript—a macOS‑built scripting language that enables automation by controlling the system and applications—covers its distinctive features, the built‑in Script Editor, fundamental syntax such as dialogs, variables, conditionals, loops, and provides practical code examples for tasks like launching Safari, handling UI elements, and automating QQ login.
This article presents ten common Linux shell interview questions, each followed by clear explanations and exact command‑line solutions—including script termination, file header removal, line length checking, non‑printable character display, directory permissions, process states, cut usage, cmp vs diff, echo vs ls, and a brief overview of inodes.
This tutorial walks you through using the python-pptx library to read, modify, and generate PowerPoint files—including installing the package, extracting slides, shapes, and text, and programmatically adding text boxes, images, tables, and custom styling—providing ready‑to‑run code snippets for each step.
This article introduces AppleScript, explains its unique ability to control macOS applications, walks through the built‑in editor, and provides clear examples of core syntax such as tell statements, variables, conditionals, loops, and UI interaction for automating tasks on macOS.
This guide shows how to locate every .git directory within a few levels, trim the paths, and run git pull on each repository using a single pipeline command that can also be saved as a convenient shell alias.
This article compares Postman with IntelliJ IDEA REST Client, explains why IDEA’s built‑in HTTP client is preferable, and provides step‑by‑step guidance on using its console, request history, environment configuration, scripting syntax, and response assertions for efficient API testing.
This article provides a curated collection of Groovy tutorials covering topics such as Java‑Groovy integration, stream‑based prime calculation, shell scripting, database operations with Gradle, Groovy Shell usage, operator overloading, JMeter scripting, regular expressions, tuples, lists, and advanced Gradle‑Groovy techniques.
This tutorial shows how to convert a Java class that filters names into concise Groovy scripts, demonstrates Groovy list literals, index access, and built‑in collection methods like each, any, every, find, and findAll, providing complete code examples.
This tutorial explains how to use Python's openpyxl library to create, open, modify, iterate over cells and ranges, and finally save Excel workbooks, providing practical code examples for automating data collection and analysis tasks.
This article creates 500,000 small files on a Linux system and benchmarks various deletion techniques—including rm, find, rsync, Python, and Perl—showing their execution times and concluding which method offers the best performance and convenience.
Discover ten handy but often overlooked Linux commands—pgrep, pstree, bc, split, nl, mkfifo, ldd, col, xmlwf, and lsof—each explained with clear descriptions and practical example usages to boost your command‑line efficiency.
The article shares a series of JMeter demos that leverage Groovy for accessing the test context, retrieving SampleResult and previous sampler data, discusses the limited usefulness of thread scheduling via Groovy, highlights a discovered throughput discrepancy, and provides practical advice and links to related technical resources.
This article introduces ten handy but often overlooked Linux commands—pgrep, pstree, bc, split, nl, mkfifo, ldd, col, xmlwf, and lsof—explaining their purpose, typical use cases, and providing concrete shell examples for each.
This curated collection presents dozens of Chinese-language articles covering Java, Groovy, and Python topics such as concurrency, performance optimization, regular expressions, JMeter scripting, and algorithmic challenges, providing links to in-depth tutorials and code examples for developers seeking to deepen their programming expertise.
This article demonstrates how to apply Groovy regular expressions within JMeter to extract fields from API responses, showing step‑by‑step configuration of a thread group, JSR223 post‑processor script, and variable handling for performance testing.
This guide demonstrates how to add a JSR223 PostProcessor with Groovy in Apache JMeter to capture slow requests, write request parameters and responses to a log file, and control pagination for automated performance testing, providing complete script examples and console output.
This article demonstrates how to execute operating‑system commands from a Groovy script inside JMeter’s JSR223 PreProcessor, showing the required test plan setup, the Groovy code, and the resulting console output for performance testing purposes.
This tutorial shows how to use Groovy scripts inside JMeter to set and retrieve both thread‑local (private) and thread‑shared (global) variables, providing step‑by‑step configuration, code snippets, and sample console output for each case.
This tutorial shows how to extract a target computer's Chrome browsing history with Python, save it as a text file, and automatically send it via email using a QQ SMTP account, detailing the required environment, scripts, and common pitfalls.
This article explains three crucial shell constructs—pipes, redirection operators, and backslash usage—showing how to combine commands, direct output to files, and pass command results as arguments, with practical examples and a script for archiving recently modified files.
This article introduces Groovy Shell, explains how to launch it, demonstrates basic commands, variable handling, closures, Windows-specific tips, arithmetic with BigInteger, and showcases its usefulness for rapid prototyping and testing in backend development.
This article explains how to write a Groovy script for a CI pipeline that lists webapp directories on a Linux server, keeps the newest four, sorts them by modification time, and deletes the older ones using sudo to overcome permission issues, complete with full source code.
This tutorial shows how to package a Java‑based HTTP testing framework into a JAR, import it into Groovy, and write a concise Groovy script that sends an HTTP GET request, processes the JSON response, and prints the result.
This article presents a Groovy‑based modular framework for automating complex, interrelated API tests, detailing how to structure test modules, manage user credentials and tokens, and execute concurrent requests using custom thread handling, with full source code examples for the main driver, UserCenter, and base classes.
This article explains common scenarios where empty variables, spaces, special characters, or failed directory changes cause accidental deletions in Linux, and provides practical shell techniques—such as quoting, parameter expansion, set -u, and logical checks—to safeguard against disastrous rm -rf commands.
This article compiles a comprehensive set of Linux operations interview questions and answers, covering topics such as the definition of ops, server management, RAID configurations, load‑balancing solutions, middleware, MySQL troubleshooting, scripting tasks, network diagnostics, and best‑practice optimizations for high‑pay sysadmin roles.
A comprehensive cheat‑sheet of Linux system administration commands and scripts covering mounting Windows shares, monitoring HTTP concurrency, packet sniffing, log analysis, file system inspection, process metrics, boot sequence, link types, partition handling, user management, and networking utilities.
The article details a real‑world MySQL performance case where a sudden 100‑fold load increase was mitigated through read/write splitting, replica‑based statistics, limited index tuning, middleware‑driven sharding, and finally a columnar storage layer (Infobright) with scripted dynamic data synchronization, achieving dramatic latency reductions and scalable architecture.
This article introduces the fundamentals of performance testing, covering its definition, testing methods, timing, perspectives, test types, key metrics, and practical scripting examples to simulate high concurrency loads for reliable software evaluation.
This guide explains how to silently monitor USB insertions on a computer, automatically copy the drive’s contents to a local folder or server using a Python script that periodically scans the /Volumes directory and triggers file transfer without the user noticing.
Learn how Linux linking operators combine commands for background execution, sequential runs, conditional logic, piping, and grouping, with clear explanations and practical examples for each of the ten operators, helping you write more efficient scripts, automate tasks, and improve system productivity.
This guide introduces Lua’s concise syntax, tiny footprint, and performance strengths, explores typical use cases such as security, web APIs, and game servers, then walks through core language features, OpenResty integration, deployment steps, and a hands‑on exercise for building a redirect service.
This comprehensive tutorial introduces AWK, covering its origins, variants, typical use cases, workflow, program structure, command‑line options, operators, regular expressions, arrays, control flow, functions, output redirection, and how to execute shell commands, all illustrated with clear examples and diagrams.
Learn how to use Bash's test command and its various syntaxes—including [, [[, and ((—to perform file existence checks, string evaluations, numeric comparisons, and logical operations—complete with practical examples and common operators for effective shell scripting.
This article explains how Linux administrators can replace slow serial shell loops with concurrent executions using background processes, simulated queues, and FIFO pipes, providing step‑by‑step scripts, performance comparisons, and practical guidelines to control process counts safely.
The article reflects on how many software development activities are repetitive and inefficient, argues that machines can handle these repetitive workflows more quickly and reliably, and demonstrates practical automation techniques—from simple scripts to CI/CD pipelines—to free developers for creative work.
This article explains what shell variables are, their naming rules and assignment syntax, the different categories of variables, and demonstrates how to define and output custom variables in Linux shells with practical command‑line examples.
This article explores ten lesser‑known Bash features—including history substitution, pushd/popd directory stacks, shopt versus set options, Here Docs and Here Strings, advanced parameter expansion, default variable values, signal traps, special shell variables, extglob patterns, and associative arrays—providing practical examples and code snippets for each.
This guide presents practical Bash scripting techniques—including safety flags, function design, variable annotations, modern command substitution, double‑bracket tests, string manipulation, process substitution, debugging tools, and when to avoid Bash—to help you write more robust and maintainable shell scripts.
This concise tutorial shows how to use Python's built‑in zipfile module to recursively collect all files from a specified folder and create a compressed ZIP archive, including example code and a brief note on where to find more automation resources.
The article outlines the seven essential competencies—flexibility, security, collaboration, scripting, decision‑making, infrastructure knowledge, and soft skills—that DevOps engineers must master to bridge development and operations, accelerate delivery, and maintain secure, reliable systems.
This article provides a comprehensive beginner-friendly guide to Windows batch (BAT) commands, covering common file operations, control structures, variable handling, and practical code examples for automating tasks on Windows virtual machines.
This guide explains Bash logical test operators, file‑checking flags, comparison symbols, bracket expressions, and shows a performance benchmark where the [[ ]] syntax outperforms test and [] in large loops.
This comprehensive AWK tutorial introduces the language’s origins, variants, typical use‑cases, workflow, program structure, syntax, command‑line options, operators, regular expressions, arrays, control flow, functions, I/O redirection, and shell integration, providing clear examples and visual diagrams for beginners.
This article compiles Meituan's Linux operations engineer interview requirements, common questions on system installation, networking, scripting, MySQL security, replication, iptables, and provides detailed command-line solutions and sample scripts to help candidates prepare effectively.
This article presents twelve practical Python techniques—including regex substitution, directory traversal, list sorting, deduplication, dictionary sorting, data type conversions, datetime handling, command‑line parsing, formatted printing, base conversion, system command execution, and file I/O—complete with ready‑to‑run code examples for each.
This guide explains Linux shell's flow‑control constructs—including conditional if/elif/else, loops (for, while, until), and selection statements (case, select) —by detailing their syntax, usage rules, and providing complete script examples that demonstrate each construct in action.
This guide outlines the ten core Linux operations skills every sysadmin should master, covering essential tools such as rsync, network services, scripting languages, text processing, databases, firewalls, monitoring, clustering, backup, and optimization, with practical examples, commands, and resource links.
This article presents a collection of fifteen practical Linux command‑line techniques—including table‑style output, looping until success, sorting processes, architecture checks, multitail monitoring, directory navigation shortcuts, interactive shell tweaks, watch usage, nohup persistence, yes/no automation, file creation with dd, sudo shortcuts, session recording, character replacement, case conversion, and advanced xargs pipelines—aimed at boosting productivity for everyday terminal users.
This article explains why mastering Python is essential for senior Linux operations engineers, detailing its role as a versatile glue language for automation, the limitations of shell scripts, and showcasing six real-world Python projects that streamline tasks such as static file serving, jump‑server access, distributed monitoring, CMDB management, task scheduling, and workflow orchestration.
This guide outlines how operations engineers can elevate their professional image by pursuing key certifications, mastering deep technical topics, favoring niche tools over mainstream ones, writing scripts with awk/sed, embracing unconventional operating systems, and strategically networking within the industry.
This article presents five practical Python scripts that demonstrate how to traverse directories and list files, draw text triangles, create a number‑guessing game, log disk usage, and analyze IP access counts from log files, each explained with clear code examples.
This guide compiles 28 practical Linux commands and shell scripts covering file system mounting, network monitoring, process inspection, password generation, log analysis, link handling, boot sequence, FTP modes, and service management, providing concise examples for everyday system administration tasks.
This guide outlines the ten core toolsets—ranging from Linux basics and network services to scripting, firewalls, monitoring, clustering, and backup—that aspiring Linux operations engineers need to master for effective system administration.
This guide explains how to use ANSI escape sequences in Linux shell scripts to change text color, background color, apply effects like bold or blinking, and provides ready‑to‑copy command examples for various color combinations.
This guide introduces shell scripting fundamentals, covering its purpose, what it can and cannot do, the interpreter workflow, and detailed examples of simple scripts, variables, arithmetic, string and file tests, control structures, functions, redirection, and an automated GitHub commit script.
This guide walks through configuring Zabbix to monitor Nginx and PHP‑FPM status, covering software installation paths, enabling status modules, creating extraction scripts, setting up Zabbix agent userparameters, restarting services, testing data retrieval, and adding server‑side templates for items, triggers, and graphs.
The article outlines a typical six‑segment workday of a Tencent operations engineer, detailing how they review past results, tackle urgent issues, take breaks, perform routine tasks, debug scripts, and handle after‑hours responsibilities, offering practical insight for aspiring sysadmins.
This guide explains common Linux shell pitfalls that can cause accidental directory deletions—such as empty variables, spaces, special characters, and failed cd commands—and provides practical safeguards like variable expansion checks, quoting, existence tests, logical operators, avoiding root operations, and using informative prompts.
This article explains why scripting languages—especially Python—offer higher productivity than C, compares Python to Bash, Perl and other languages, and provides practical steps and resources for beginners to start learning Python effectively.
This article explains how to configure a Java development environment and set up LoadRunner to generate dynamic signatures and encryption for performance testing, detailing steps such as installing JDK 1.6, creating Java Vusers, configuring classpaths, and utilizing various Java libraries within LoadRunner scripts.
This guide shows how to configure Vim so that pressing F4 automatically adds or updates a header containing author details, file name, and modification timestamp, using custom functions and a mapping, making it easy for programmers to embed metadata into their scripts.
This article explains the special shell variable $?, how it returns the exit status of the previous command, demonstrates its use with practical examples, and shows how to combine it with && and || for conditional execution in Linux scripts.
Discover essential Python utilities—sh, path.py, pythonpy, psutil, Fabric, and Ansible—that simplify Linux system automation, streamline file handling, process monitoring, remote execution, and deployment, while also covering permission basics for secure script execution.
This article explains how Redis Lua scripting can make operations faster, cut network overhead, guarantee atomic execution, and enable script reuse, and it provides practical examples including a simple hello‑world script and a URL‑shortening implementation.
A Russian developer created a suite of automation scripts that handle everything from sending overtime texts to his wife and requesting sick leave to restoring client databases and remotely brewing coffee, and the GitHub project “hacker‑scripts” has attracted over 16,000 stars, illustrating a playful yet technically impressive approach to personal DevOps automation.
This article explains the purpose of the Unix xargs command, demonstrates basic usage for concatenating log files, shows an advanced example for renaming text files to log files using the -I placeholder, and provides a step‑by‑step breakdown of how the command pipeline works.
This article explains how to embed the Lua scripting engine into native C programs, Java applications via LuaJava, Android apps using JNI, and iOS projects, covering environment setup, bridge functions, compilation commands, and runtime examples for each platform.
This article compares several Linux techniques—including rm, find with -exec or -delete, rsync, Python, and Perl—for removing 500,000 files, showing execution times and highlighting the most efficient method for massive file deletion.
The author recounts how a university encounter and later work demands led them to master Unix, using tools like awk, Perl, Python and Ruby to automate massive data tasks, teach courses, and champion Ubuntu and other Unix-like systems as essential, productivity‑driving platforms.
