This guide provides step‑by‑step instructions for installing Zabbix 3.4 on RHEL 7, including repository setup, server, proxy and web‑frontend installation, MySQL database preparation, PHP configuration, service startup, and firewall adjustments.
This guide explains how to set up a Linux virtual machine on macOS with VMware Fusion, install Zabbix 3.4 along with its dependencies (MySQL, Redis), and configure the various Zabbix components, monitoring methods, and active/passive modes for comprehensive system monitoring.
This article details how Tongcheng Network migrated massive ticketing and flight‑booking workloads to TiDB, combining sharding and a distributed SQL database to handle terabytes of data, real‑time monitoring, and high QPS traffic while simplifying operations and reducing costs.
Starting from version 0.3.0, PouchContainer integrates the open‑source LXCFS FUSE filesystem to isolate /proc views inside containers, allowing existing monitoring and deployment tools to read container‑specific metrics without modification, and the article details the use cases, command‑line integration, and stability improvements.
This article explains the most common Zabbix alert methods—including email, phone call, SMS, WeChat, and other channels—detailing their implementation ideas, required parameters, action configurations, and providing Python code snippets to retrieve performance graphs and send notifications.
This article introduces the ELK stack—Elasticsearch, Logstash, and Kibana—explaining its core components, architecture, comparison with databases and grep, typical use cases across security, networking, and application monitoring, deployment considerations, challenges, SaaS prospects, and recommended learning resources.
Testing asynchronous systems requires specialized strategies—monitoring callbacks with synchronization primitives and reliable polling with timeouts, delays, and frequencies—to handle nondeterministic execution, avoid flaky assertions, and improve testability by decoupling business logic from periodic scheduling, as demonstrated by real‑world polling implementations for Elasticsearch and MySQL/Redis jobs.
This article examines how Suning’s monitoring product’s user experience was elevated through four key interventions—page reconstruction of call‑chain views, backend performance workflow optimization, intelligent alerting with real‑time and offline analytics, and a data‑visualization decision platform—illustrating the shift from basic usability to emotionally engaging, self‑actualizing interactions.
The article introduces a commercial testing platform used by an advertising team, detailing its architecture, core components, monitoring and scheduling mechanisms, current advantages and shortcomings, and outlines planned enhancements to improve data construction, result recording, and anti‑fraud coverage.
An in‑depth look at Bilibili’s multi‑layer monitoring overhaul, detailing the shift from a monolithic Zabbix setup to micro‑service‑based ELK, Dapper, Misaka, Traceon and Lancer systems, and how layered observability improves fault detection across business, application, and infrastructure levels.
This article describes how Alibaba's NineGame access system moved from traditional system‑centric high‑availability designs to a business‑oriented, three‑dimensional architecture that enables 3‑minute problem detection, 5‑minute service restoration, and an average of one outage every two months.
This article introduces a curated set of practical Linux operations tools—including Nethogs, IOZone, IOTop, IPtraf, IFTop, Fail2ban, Tmux, NMON, MultiTail, NMap, and Httperf—detailing their purpose, installation steps, key command‑line options, and usage examples to help system administrators monitor bandwidth, disk I/O, processes, logs, and security on Linux servers.
This article explains why proper logging is crucial for Java backend maintenance, defines useful log levels, outlines team rules and best‑practice implementations—including traceId usage, log file organization, and real‑time monitoring—to enable fast issue diagnosis and improve overall engineering quality.
This guide explains what Beats is, its components, typical deployment topology, and provides step‑by‑step instructions for installing, configuring, and visualizing Packetbeat data within an ELK stack, including dashboard setup in Kibana.
This article explores the fundamentals of command execution, examines the challenges of scaling command delivery across hundreds of thousands of servers, and details Baidu’s Cluster Control System architecture that enables efficient, flexible, and extensible distributed command management for operations teams.
This article shares a Linux operations engineer’s interview experience, presenting seven common interview questions—self‑introduction, gray‑release implementation, MongoDB deployment, Jenkins‑based release and rollback, Tomcat work modes, monitoring solutions, and data backup—along with concise, practical answers and preparation tips.
This article explains why proper logging is crucial for rapid issue diagnosis, defines useful log levels, outlines team-wide logging rules, describes log format standardization, introduces traceId for request tracing, and presents monitoring and alerting strategies to improve overall system reliability.
This article outlines eight critical aspects—error rates, web traffic, performance scores, server load, database queries, dependency health, internal communication, and regression testing—that developers should continuously monitor to ensure smooth and reliable software deployments.
This article explores the everyday challenges of operations teams handling system, access, runtime, error, and business logs, outlines the pain points of log collection and standardization, and provides a comprehensive guide to implementing the ELK (Elastic) stack—including Elasticsearch, Logstash, and Kibana—for effective monitoring and analysis.
This article explains how Meituan's food delivery platform built an automated operations system—covering complex workflows, traffic spikes, rapid growth, pain‑point analysis, core goals, system architecture, and automation techniques such as anomaly detection, service‑protection triggers, and full‑link testing—to improve reliability and reduce manual effort.
CallGraph is JD.com's internally developed distributed tracing and service governance platform that addresses the challenges of monitoring complex microservice architectures by providing low‑intrusion, low‑latency tracing, real‑time analytics, configurable sampling, and integration with JMQ, Storm, Spark, HBase, and JimDB for both operational insight and performance optimization.
This article compiles over 60 top open‑source DevOps tools—from version control systems and build automation to CI/CD platforms, container runtimes, configuration managers, monitoring solutions, and log collectors—providing concise descriptions to help engineers streamline automation, deployment, and operations workflows.
This article details the architecture and practical techniques behind WeChat's large‑scale monitoring system, covering lightweight data collection, classification of real‑time, non‑real‑time and user‑specific metrics, anomaly detection algorithms, automated configuration, and high‑performance storage solutions for billions of events per minute.
This article outlines the key categories of operations tools—including process management, release automation, configuration handling, resource isolation, and comprehensive monitoring and alerting solutions—providing a practical guide for building reliable, automated infrastructure workflows.
This article compiles a curated list of 28 useful Unix/Linux command‑line utilities—including performance monitors, multiplexers, editors, network tools, backup solutions, and fun programs—providing brief descriptions, official website links, and usage examples to help system administrators discover and adopt valuable tools for daily operations.
Xinhua integrates Huawei Cloud infrastructure with Esri's ArcGIS portal via the eSDK platform to enable flexible, load‑balanced GIS services, real‑time monitoring, and efficient remote collaboration, improving geographic data handling for news reporting and public opinion analysis.
This article details how Ping An Securities built a technology‑first event‑handling team, created new reporting channels, developed a data‑construction platform, and implemented proactive monitoring to efficiently support over ten million internet securities users.
This article explains why quantifiable data is essential for evaluating the impact of operational changes, outlines common data‑collection stacks, defines core business and user‑centric metrics, and demonstrates practical monitoring techniques such as PCU analysis, simulated user flows, and intelligent scaling to turn ops work into measurable business value.
The 8th Meitu Internet Technology Salon in Shenzhen showcased four expert talks covering Meipai’s high‑concurrency prop‑trading system, a comprehensive monitoring platform, the evolution of Meitu’s IM architecture, and live‑streaming optimization, revealing how the company supports over 1.5 billion users with robust backend engineering.
Meituan’s Meipai service, serving over 150 million monthly users with a hybrid private‑public cloud architecture, spent three years building a comprehensive, three‑dimensional monitoring platform that unifies client‑to‑server metrics, alerts and reporting to ensure resilient, scalable operations and rapid business growth.
This article shares a comprehensive overview of game operation security at Tencent, covering personal background, real‑world incident cases, the inherent challenges of large‑scale game services, past monitoring efforts, and a new data‑driven alerting framework that dramatically reduces false alarms while protecting game economies.
This article explains JD Finance's operational challenges in a rapidly expanding micro‑service environment and presents a comprehensive approach that combines offline and online load testing, precise capacity calculations, and intelligent root‑cause alert analysis using both rule‑based and machine‑learning techniques.
While many believe software development ends after age 40, the article highlights veteran programmers who treat coding as a lifelong passion and showcases Dennis’s Grafana‑based monitoring solutions for Huawei storage, illustrating how open‑source dashboards, SNMP data collection, and comparisons with Kibana empower modern ops.
This article provides a detailed, curated list of the most popular Docker‑related tools across categories such as orchestration, CI/CD, monitoring, security, storage, networking and management, including brief descriptions, official links and cost information to help developers, DevOps engineers and platform architects choose the right solutions for every stage of the container lifecycle.
Tencent's SNG social platform team tackles billion‑scale traffic by integrating AI‑driven anomaly detection, multi‑dimensional monitoring, and decision‑tree based root‑cause analysis, turning complex backend architectures and massive alert volumes into streamlined, actionable insights for faster issue resolution.
Metrics act as health checks for applications, enabling developers to monitor performance, track changes, and assess stability; this article explains Pandora.js’s metric naming conventions, types like Gauge, Counter, Histogram, and Meter, and provides practical Node.js code examples for implementing these measurements.
On December 30, 2017, a sudden wave of users uploading and downloading their 18‑year‑old photos caused QQ Space's album service to experience a four‑times spike in download traffic and a twelve‑times surge in post activity, prompting the operations and development teams to employ capacity monitoring, elastic scaling, flexible architecture, and targeted optimizations to maintain service stability and user experience.
This guide explains how to safely migrate a Zabbix monitoring server to a new machine by backing up the MySQL database with mysqldump, importing it on the new host, updating configuration files, restarting services, and ensuring time synchronization to maintain uninterrupted monitoring.
This article provides a Chinese‑English reference of frequently used Zabbix monitoring items, covering host groups, system metrics, file checks, network traffic, CPU/memory usage, and service checks, helping users configure and customize their Zabbix monitoring views.
This guide explains how to create and deploy a Bash script that retrieves a WeChat corporate token and sends Zabbix alarm messages to all users through the WeChat API, enabling automated monitoring alerts via the corporate WeChat platform.
This article compiles the job description, required skills, and a full set of interview questions with detailed answers for Linux operations and cloud engineering positions, helping candidates prepare effectively for technical assessments at major internet firms.
In just over a month, 37 Interactive Entertainment transformed its fragmented monitoring wall into a unified, twelve‑screen dashboard by consolidating game and service data into Elasticsearch, creating a single API, and employing modular JavaScript, custom ECharts visualizations and a 3D map, delivering real‑time insights with a cohesive sci‑fi inspired UI.
This article explains the purpose of performance (stress) testing, compares four testing approaches, details the chosen proportional‑deployment strategy, and provides comprehensive preparation steps, script guidelines, metric analysis, and practical tips for ensuring system stability during large‑scale traffic spikes.
This article details a company's migration from commercial load balancers to an open‑source Nginx‑based Layer‑4 solution, covering project background, technical selection, architecture design, network and Nginx configurations, operational scripts, health‑check automation, performance testing, and data analysis using Elasticsearch and Grafana.
The 2017 Double 11 stability monitoring project introduced a four‑layer monitoring architecture—including customer & sentiment, business, system water‑level, and infrastructure monitoring—along with data archiving and system‑level reliability measures to detect, respond to, and mitigate issues far faster than traditional manual processes.
This article describes how WiFi 万能钥匙 designed and implemented the Roma monitoring platform to handle billions of daily requests, covering background challenges, architectural principles, component design, data collection, transmission, storage, alerting, and future directions for large‑scale observability.
In 2017 Vipshop’s senior big‑data architect shares how the company grew its Hadoop‑based platform from zero to a thousand‑node cluster, detailing cluster health monitoring, multi‑HDFS deployment via Hive, Yarn container allocation improvements, and a hook‑driven Capping resource‑control system to boost stability and efficiency.
This article explains how Alibaba’s StarOps platform integrates DevOps automation, CMDB, release management, monitoring, host operations, bastion security and fault handling to enable large‑scale, unmanned, data‑driven operations across hybrid cloud environments.
This article recounts the technical evolution of 58 Express from its early startup days through rapid growth to an intelligent dispatch era, detailing challenges, database sharding, service decomposition, big‑data analytics, AI‑driven order routing, monitoring, and lessons learned for building a high‑performance backend system.
This article introduces the challenges of multi-dimensional monitoring, explains the limitations of traditional alerting, and presents the MDRCA algorithm—combining K‑means clustering, Explanatory Power, and Surprise metrics—to pinpoint root causes efficiently, while sharing practical AI integration experiences for large‑scale monitoring platforms.
This article explains how 360’s Hulk private cloud platform deploys Elasticsearch with a dedicated master architecture, load‑balancing, per‑business isolated clusters, SearchGuard security, dynamic tokenization, self‑service user features, and advanced monitoring to achieve high‑performance, scalable search services.
This article explains how to combine Node.js's experimental Async Hooks and Performance Timing APIs to create a simple tracing and performance monitoring tool, eliminating manual timing and offering a foundation that can be extended into a custom solution, while also noting an open‑source Pandora.js utility.
This article explains how Alibaba’s Sunfire monitoring platform processes terabytes of logs per minute, uses a pull‑based architecture with Brain‑Reduce‑Map roles, tackles scalability and reliability challenges, and outlines future directions such as MQL standardization and intelligent baselines.
A DBA on call discovers a sudden traffic spike caused by a few massive hot keys on a storage server, quickly isolates the issue, migrates data, applies throttling and caching, and outlines automation ideas to prevent future overloads, illustrating practical database operations and incident response.
This article explains why traditional macro performance metrics are insufficient, introduces ten essential micro‑metrics covering memory, thread, and network aspects, and shows how to capture them using GC logs, thread dumps, and tools like netstat or open‑source APM solutions.
The article describes the requirements, architecture, data‑sync strategy, monitoring, and operational workflow of a search open platform that enables fast, zero‑code creation of searchable interfaces, supporting real‑time indexing, customizable ranking, and extensible backend services.
This article shares practical Go microservice building experiences, covering gRPC-based communication, TLS security, request tracing, and comprehensive monitoring with Prometheus, including metric selection, alerting, and log management using Logrus and Graylog, to help reduce coupling and improve system observability.
The article describes how a startup tackled rapid MVP development and frequent changes by establishing a component‑based frontend platform, a Node.js middleware layer for Java services, and performance and error monitoring to streamline operations and improve development efficiency.
This article outlines a large‑scale monitoring solution for distributed microservice environments, comparing traditional ELK logging with a custom GPE stack (Grafana, Prometheus, Exporter, Consul), detailing architecture, components, workflows, and practical considerations for reliable observability.
This guide presents essential Bash scripting best practices and a collection of practical monitoring scripts—including random string generation, user creation, package checks, service status, host reachability, CPU/memory/disk usage, and website availability—complete with debugging tips and naming conventions for reliable automation.
The article recounts Ele.me's rapid growth and the resulting operational challenges, describing how the company progressed from ad‑hoc 1.0 practices to a standardized, automated 2.0 infrastructure built on ZStack private cloud, fine‑grained operations, and data‑driven management to improve quality, efficiency, and cost.
This tutorial walks through using the Zabbix API with the pyzabbix Python library to retrieve monitoring data, then visualizes it with ECharts, showing step‑by‑step how to create personalized monitoring pages for better operational insight.
The article summarizes a DevOps talk, outlining eight guiding principles—configuration over hard‑coding, redundancy over single points, restartability, whole‑stack delivery, statelessness, standardization, automation, and unattended operation—while sharing concrete tools, architectures, and real‑world experiences from a cloud provider.
Meituan‑Dianping’s payment team progressed from manual fault alerts to a fully automated channel management system that detects failures, disables affected banks, conducts controlled ramp‑up tests, and restores service, dramatically cutting response times, manpower costs, and secondary‑failure risks while boosting overall availability.
Over seven years, Pinterest’s monitoring team built and refined a three‑pronged observability platform—time‑series metrics, log search, and distributed tracing—scaling from a single‑machine system to handling millions of data points per second across tens of thousands of AWS VMs, while addressing reliability, cost, and usability challenges.
Discover a comprehensive collection of over 80 Linux monitoring and debugging utilities—including command‑line, system, network, and log tools—detailing their purpose, key features, and typical use cases to help you efficiently manage and troubleshoot server performance.
This article chronicles Pinterest's seven‑year evolution from a single‑machine time‑series monitor to a multi‑component system that integrates metrics, log search, and distributed tracing, sharing architectural choices, scaling challenges, and lessons learned for building reliable, high‑performance operations platforms.
This article shares a seasoned Linux sysadmin’s ten‑point roadmap—from mastering rsync, network services, and scripting to mastering sed/awk, MySQL, firewalls, monitoring tools, clustering, and backup—plus essential security and operational mindsets for thriving in modern infrastructure.
This article details Bilibili's Billions log platform—from its fragmented origins and design goals to the elastic‑stack‑based architecture, shard management, log sampling, custom Go splitters, and monitoring enhancements—highlighting the challenges faced and the roadmap for future improvements.
This article details Gome Group’s transition to cloud computing and operations automation, describing its corporate background, new operational strategies, the establishment of Gome Cloud, IAAS product architecture, monitoring solutions, automation standards, and deployment practices such as gray releases and Docker integration.
This article walks you through the complete process of setting up Zabbix on a Linux server—including preparing the environment, installing LAMP, configuring the Zabbix server and agent, creating databases, defining templates, items, triggers, graphs, and custom script alerts—to achieve real‑time network traffic monitoring and automated notifications.
This article details Ele.me's rapid expansion challenges and shares a three‑stage technical operations journey—fine‑grained division, stability maintenance, and efficiency gains—highlighting real incidents, monitoring upgrades, capacity testing, and practical insights for reliable large‑scale delivery platforms.
At Gome Group, a traditional retailer with over 30,000 employees, the IT team built a unified cloud platform and automated operations, consolidating resources across dozens of subsidiaries to cut costs, boost efficiency, and enable rapid service delivery through IAAS, standardized processes, and custom monitoring tools.
This article outlines Taobao's learning objectives, traces the evolution of its backend architecture from V1.0 to V3.0, highlights the technical challenges faced at each stage, and explains the architectural decisions—such as modularization, service‑oriented frameworks, distributed storage, and large‑scale monitoring—that enabled massive scalability, reliability, and performance improvements.
The article details 58's private cloud platform built on container technology, explaining the motivations, overall architecture, and core module designs such as container management, network model, image repository, logging, and monitoring, illustrating how Docker and Kubernetes enable efficient resource utilization, rapid scaling, and streamlined deployment.
This guide introduces thirteen essential Linux operation utilities—including Nethogs, IOZone, IOTop, IPtraf, IFTop, HTop, NMON, MultiTail, Fail2ban, Tmux, Agedu, NMap and Httperf—providing brief descriptions, download links and step‑by‑step commands to install and use each tool for monitoring, performance testing, security and session management.
This article explains Kafka end‑to‑end auditing, compares three products (Chaperone, Confluent Control Center, Kafka Monitor), describes timestamp and index embedding techniques, and outlines their architectures, metrics, and implementation details for detecting data loss, duplication, and latency.
The article explores how adopting a "don't trust" mindset—through rigorous input validation, defensive coding, thorough testing, gradual rollouts, and comprehensive monitoring—helps build resilient, high‑performance systems and avoid common pitfalls in development and operations.
This article describes how Tongcheng Travel’s monitoring system evolved from a monolithic design to a distributed and big‑data‑based architecture, introducing real‑time processing with Storm, machine‑learning‑enhanced alerts, and a multivariate linear regression model that dramatically improves traffic anomaly detection accuracy.
Overwatch is an open‑source distributed monitoring platform built by Dada‑Jingdong Home that collects, aggregates, and visualizes RPC traffic across thousands of micro‑services in real time, enabling engineers to quickly pinpoint the root cause of system failures using directed‑graph visualizations and CQRS‑based data queries.
This article examines how Meipai, a popular live‑streaming and short‑video platform with over 150 million monthly active users, engineered a comprehensive, three‑dimensional monitoring architecture that spans client to server, integrates unified dashboards, and leverages both private and public cloud resources to ensure reliable, scalable operations.
The sixth Meitu Internet Technology Salon in Beijing showcased Meipai’s evolution, with senior engineers detailing the platform’s recommendation system, real‑time background segmentation, monitoring framework, live‑streaming and bullet‑screen architecture, offering practical insights and best‑practice lessons for building and optimizing large‑scale video services.
This step‑by‑step guide shows how to install Grafana 4 on a Linux server, configure it to start on boot, add required fonts, install the Grafana‑Zabbix and clock‑panel plugins, and create a dashboard that visualizes Zabbix metrics such as memory usage.
In programming and operations, every element—from services and dependencies to requests, machines, data centers, power, networks, and humans—can fail unexpectedly, so you must assume distrust and implement defensive measures such as monitoring, redundancy, rate limiting, fallback strategies, backups, and automated deployment.
This article details Qunar's journey of automating application operations, covering the evolution of their host‑management system, unified monitoring/alert platform, and data‑interchange mechanisms that enabled the company to grow from a few hundred to over ten thousand servers with a stable six‑person ops team.
This article shares practical DevOps tactics—including disaster‑recovery drills, SET architecture, automated self‑healing, and disciplined change management—to help operations teams reduce errors, improve reliability, and free time for strategic work.
This guide explains how to choose between push and pull monitoring models, introduces Prometheus architecture and metric syntax, shows Node.js client integration with code examples, and covers Alertmanager features and Grafana visualization for effective application monitoring.
This article describes an integrated solution that combines code quality monitoring during development with automated crash issue tracking after deployment, using a custom platform, Jenkins, Gradle plugins, static analysis tools, and rule-based filtering to continuously improve project reliability and performance.
This article outlines the essential backend infrastructure components and best‑practice patterns—such as API gateways, service frameworks, caching, databases, search engines, message queues, authentication, configuration, service governance, scheduling, logging, and monitoring—required to build stable, scalable, and maintainable internet applications.
This article details the challenges of traditional monitoring systems, the design and implementation of a custom high‑availability monitoring platform using a Golang‑based service tree, Raft‑backed storage, InfluxDB for time‑series data, and a modular architecture that supports Windows agents, third‑party reporting, and AI‑driven future enhancements.
Sysadmins need reliable command-line utilities to keep services running 24/7, and this guide compiles the most commonly used networking, security, storage, logging, backup, performance, efficiency, package-management, and hardware inspection tools on Linux, explaining each command’s purpose and typical use cases.
This article outlines the fundamentals, objectives, methods, core processes, tool selection, metrics, alerting, and interview tips for constructing a robust monitoring ecosystem, emphasizing Zabbix while comparing various open‑source solutions.
This article introduces the fundamental concepts, methods, types, goals, and product attributes of enterprise monitoring and alerting, explains the perspective differences between users and builders, and outlines a comprehensive monitoring system architecture for large‑scale operations.
This article shares practical experiences of using Prometheus for monitoring complex services, covering metric types, PromQL query techniques, naming conventions, service discovery with file‑based configs, high‑availability sharding, alerting via Alertmanager, and visualisation with Grafana, providing actionable guidance for reliable observability.
This article explains how Tencent Game operations moved from manual, threshold‑based monitoring to an AI‑powered, data‑driven workflow that automates scaling, improves online‑curve monitoring, enables full‑dimensional analysis, and reduces time, labor, and cost while enhancing player experience.
This article details Qunar's hardware automation operations platform, covering the hardware scope, pain points of manual processes, a five‑stage lifecycle, automated testing, data collection, fault handling, and the underlying Mesos‑Marathon‑Docker infrastructure that together improve efficiency, reliability, and cost control.
This article details the challenges, architectural evolution, key components, implementation experiences, and future directions of Ctrip's operations workflow platform, illustrating how a multi‑stage, layered design and standardized services have transformed manual IT operations into an automated, observable, and scalable system.
This article details Qunar's end‑to‑end hardware automation system, covering background challenges, lifecycle management, automated testing, data collection, fault detection, and visualized monitoring, and explains how the integrated platform reduces manual effort, improves reliability, and cuts operational costs.
This article explains how to design and implement a comprehensive operations monitoring platform by integrating Ganglia for data collection and Centreon for alerting, detailing a six‑layer architecture, data flow, seamless integration, and practical Q&A for real‑world deployment.
This article compiles 22 practical recommendations from an operations manager covering domain management, CDN usage, image servers, data center selection, monitoring, security, redundancy, high‑availability architecture, disaster‑recovery planning, and team coordination to help ensure stable and secure online services.
