This article reviews common open‑source monitoring combinations, compares their strengths and weaknesses, and shares practical guidance on selecting collectors, storage back‑ends, and visualization tools such as Telegraf, InfluxDB, Prometheus, Grafana, and alertmanager for large‑scale data platform operations.
This article dissects the 2019 Spring Festival (春运) campaign by 58.com, revealing how a win‑win design mindset, data‑driven insights, and integrated business collaboration transformed user experience, increased traffic, and delivered measurable results across multiple channels and game‑based interactions.
This article presents a comprehensive set of MySQL high‑performance optimization guidelines, covering naming conventions, table design, data types, index strategies, SQL coding standards, replication, backup, and operational best practices to improve efficiency, reliability, and scalability of database systems.
An in‑depth guide walks through the essential layers of modern website architecture—including front‑end optimization, application frameworks, service distribution, storage solutions, backend processing, monitoring, security, and data‑center design—offering practical strategies for building high‑performance, scalable web systems.
This guide outlines six practical strategies—rollback testing, cautious destructive actions, clear command prompts, verified backups, careful handovers, and proactive monitoring—to help operations teams minimize outages and maintain high system availability.
This article explains how modern internet systems use server clusters and load balancers, compares the three most popular software solutions—LVS, Nginx, and HAProxy—covers their architectures, NAT and DR modes, advantages, disadvantages, and provides guidance on selecting the right tool for different scale scenarios.
This article explains how to transform a traditional monolithic deployment into a fully automated micro‑services environment by containerizing services, using Consul for dynamic service discovery and configuration, and configuring HAProxy with DNS resolvers to achieve seamless load balancing and zero‑downtime updates.
This guide explains Jenkins project management, covering naming conventions, creating new projects, configuring build history, parameterized builds, triggers, Jenkinsfile setup, as well as building, viewing logs, and debugging pipelines with illustrative screenshots.
This article outlines the three main load‑balancing methods—DNS, hardware, and software—detailing their advantages and drawbacks, then explains common algorithms such as round‑robin, weighted round‑robin, least‑connections, performance‑based, and hash, and provides guidance on combining them for optimal architecture.
This article explains the meaning of the Linux uptime/top output, defines system load average as the average number of runnable and uninterruptible processes, distinguishes it from CPU utilization, and provides guidance on interpreting load values for single‑core and multi‑core systems.
This article explains the shortcomings of the legacy signal design in a scheduling platform, outlines four major dependency problems, and presents a newly engineered signal system with modular functions, instance ID generation, competitive priority rules, and state management to reliably support complex cross‑period and parallel job dependencies.
The article examines real‑world DevOps transformation cases, illustrating how shifting operations staff into development teams can create both integration challenges and opportunities, and proposes a framework for distinguishing repeatable versus unique work to guide effective consolidation, standardization, and automation in software delivery.
This article explores the full spectrum of modern operations, covering environment deployment, troubleshooting, backup, high availability, monitoring, security, automation, virtualization, and cloud services, while highlighting essential tools and best practices for both Linux and Windows environments.
This article explains why most alerts are poorly designed, defines actionable alerts, outlines monitoring objectives, discusses metric selection, and presents simple yet powerful algorithms for anomaly detection to improve system reliability and operational efficiency.
Reflecting on a decade of AWS, this article shares ten hard‑earned lessons—from building evolvable systems and anticipating failures to prioritizing security, automation, and open platforms—that guide the design, operation, and scaling of cloud services for today’s enterprises.
This article explains the evolution of Linux device management, introduces udev’s architecture and key features, details rule file syntax and operators, and provides practical examples—including disabling VXLAN offload, setting I/O scheduler, and enabling SR‑IOV—complete with command‑line snippets.
This article explains how large enterprises such as BAT and banks implement strict auditing and supervision of operational privileges, using personal accounts, command logging, OSSEC monitoring, firewall limits, and cross‑team oversight to enforce the principle of least privilege.
This article presents a detailed, practice‑driven guide for enterprise WiFi, covering network planning, full‑coverage design, channel optimization, security, KPI‑based monitoring, probe‑based measurement, troubleshooting techniques, and real‑world case studies from Ctrip, highlighting how systematic operations can ensure high‑quality wireless service.
This guide details the prerequisites, multiple deployment methods (WAR, macOS, Windows, Linux), and post‑installation configuration steps for Jenkins, including unlocking the instance, installing plugins, creating an admin user, setting an update site, and configuring a slave node.
This article presents a collection of practical Linux command‑line shortcuts and techniques—including cursor navigation, history execution, disk and memory inspection, process management, multi‑command chaining, and file handling—that can significantly improve efficiency for developers and system administrators.
This article describes a monitoring system that leverages machine learning to perform threshold‑free, real‑time anomaly detection on macro business indicators such as network traffic and access volume, detailing its architecture, sample labeling, model training, and multi‑level alarm strategies.
The article describes how the 58 monitoring platform reduces alarm storms through alarm convergence, intelligent merging using Gini‑based decision trees, and automated self‑healing, thereby improving alert quality, cutting noise by about 70%, and helping engineers resolve incidents faster.
A collection of vivid DBA anecdotes reveals common pitfalls—from missed alerts and accidental production restarts to unsafe terminal habits—and distills practical safeguards that any database operator can adopt to avoid costly mishaps.
Ops engineers who embrace the cloud—leveraging serverless, Kubernetes, AI, edge and elastic resources—gain cost‑efficient scalability, avoid on‑premise limitations, and open career paths such as cloud reliability engineer, solution architect, integration specialist or technical operations manager, ensuring relevance in the dominant, irreversible cloud‑first future.
The article examines the difficulties of quantifying software development efficiency, critiques common metric approaches, and proposes a principled framework that emphasizes global, outcome‑oriented indicators across delivery efficiency, quality, and capability to guide systematic R&D performance improvement.
This article explains how software teams can select, combine, and interpret nine essential metrics—including lead time, cycle time, team velocity, defect rates, MTBF, MTTR, and security incident counts—to drive continuous improvement, align with business goals, and ultimately achieve successful outcomes.
The article outlines Alibaba’s Hema delivery platform’s end‑to‑end stability strategy, detailing a 7‑layer funnel review process, three core norms (development, architecture, stability), and 23 practical tactics—including core‑noncore isolation, proactive monitoring, fault prevention, rapid recovery, and service‑level controls—to ensure reliable 30‑minute deliveries despite complex logistics and external disruptions.
This article explains the concepts of forward and reverse proxy servers, why organizations use them, and provides step‑by‑step configuration examples for both Nginx and Apache to help engineers enforce network policies and secure service access.
This article examines how data center operators and the supply chain are advancing toward 400 Gbps Ethernet, detailing the technical innovations, market forces, and future challenges that shape high‑speed networking, optical modules, and ASIC development for ultra‑large scale data centers.
This article presents nine practical logging best‑practice recommendations—from understanding human and machine audiences and standardizing log formats to leveraging metrics, proper alerting, severity levels, contextual information, and advanced framework features—helping operations teams improve system performance and troubleshooting efficiency.
The article examines how rapid cloud adoption, AI‑ops, and DevOps blur traditional IT operations roles, arguing that ops must shift from a low‑value cost center to a profit‑generating, efficiency‑driving function through mindset change, institutional innovation, expanded responsibilities, modern tools, and continuous skill upgrades.
This article explains server clustering and load‑balancing concepts, detailing the architecture and operation of LVS, Nginx, and HAProxy, and compares their advantages, disadvantages, and typical deployment scenarios; it also discusses NAT and DR modes, load‑balancer placement, and best‑practice recommendations for different traffic volumes.
The article chronicles the design, evolution, and lessons learned of JD Digital Technology’s self‑built host monitoring platform “DiTing”, detailing its initial requirements, V1 architecture, subsequent V2 and V3 redesigns, encountered challenges, and future directions toward intelligent operations.
The article introduces Octopus, the core automation service of 58 Group, detailing its overall architecture, the Octopus Agent lifecycle, communication mechanisms, management center capabilities, and key functional modules such as server information collection, command execution, deployment, permission control, and file transfer.
The article dissects the Aegis combat system’s dual‑screen UI, explaining why a simple 2D top‑down map paired with a side view outperforms flashy 3D graphics, how multi‑target blocks replace tables for faster decision‑making, and how human‑factor testing, eye‑tracking and standardized symbols dramatically improve combat efficiency.
The article chronicles the design, implementation, and iterative evolution of JD Digital Technology’s in‑house host monitoring platform Diting, detailing its V1, V2, and V3 architectures, the challenges encountered at each stage, and future directions toward intelligent, automated operations.
A seasoned operations professional argues that despite sensational claims, the ops function remains essential—driven by its core responsibilities of quality, cost, efficiency, and security, evolving with cloud computing, DevOps, and emerging IoT demands.
This article explains the principles and components of high‑availability (HA) clusters, covering active/standby nodes, resource stickiness and constraints, heartbeat and quorum mechanisms, split‑brain avoidance, failure detection methods, and the minimal setup required for a reliable web‑service HA deployment.
This article examines how DevOps has been reduced to a collection of automation tools, critiques the resulting "same‑bed‑different‑dreams" separation of development and operations, and outlines the cultural principles—shared responsibility, trust, autonomy, built‑in quality, feedback, and automation—necessary for a genuine DevOps transformation.
The article argues that operations will not disappear, explaining its essential functions—quality, cost, efficiency, and security—how cloud computing reshapes the role, the evolution toward DevOps, and why both cloud outages and industry trends actually underscore ops’ enduring importance.
A personal account of switching jobs and the first day on an operations team, detailing a critical menu‑click error, the rapid response, and the deeper reflections on risk awareness, teamwork, and professional growth in high‑stakes production environments.
This article details NetEase's journey in designing and implementing a large‑scale database automation platform, covering its requirements, tool‑based operations, architecture, AIOps integration, and the practical lessons learned for managing thousands of database clusters efficiently.
This guide presents practical Bash scripting techniques—including precautions, random string generation, color output functions, bulk user creation, package checks, service status verification, host liveness testing, resource monitoring, disk usage audits, and website availability checks—to help you automate Linux system administration tasks effectively.
This article reflects on the misconceptions of IT operations roles, examines why many view ops as a low‑value job, and offers a practical roadmap—automation, DevOps, cloud services, and Python—to help ops engineers future‑proof their careers amid evolving industry trends.
This article traces the historical development of DevOps from the early days of self‑developed and self‑maintained computer programs, through the rise of professional developers and operations engineers, to the modern agile era where development and operations must collaborate to meet rapid market changes.
This article traces the evolution of DevOps from Patrick Debois' 2007 frustrations as a Belgian IT consultant through key conferences, blogs, and publications that shaped the DevOps movement, highlighting its roots in Agile practices and the convergence of development and operations.
This guide walks you through Linux command‑line shortcuts, the five key system‑operation metrics, and powerful tools like smem, ps, and sort to efficiently monitor CPU, memory, processes, disks, and network while also handling zombie processes.
This article analyzes the essential capabilities required for building a DevOps infrastructure in traditional enterprises across foundation, development, testing, operations, and project management, mapping each capability to representative tools and offering guidance on flexible, evolving architecture design.
The article outlines Ant Financial's technical risk prevention platform, describing the challenges of financial‑grade distributed architectures, the multi‑layer risk assurance system, the TRaaS platform's risk baseline, handling, and change‑control mechanisms, and how these practices empower partners to achieve high‑availability and secure financial services.
This article presents thirty practical recommendations for deploying, configuring, and maintaining Pika—a high‑capacity, RocksDB‑backed Redis‑compatible storage system—covering version selection, thread settings, hardware choices, key design, memory management, replication, backup, compaction, security, and monitoring to achieve reliable and high‑performance operation.
This talk reveals why middleware operations in financial institutions feel especially painful, examines the specific cost, autonomy, and reliability challenges, and outlines a step‑by‑step evolution toward tool‑driven platforms, hybrid‑cloud deployment, and AIOps that reduce manual toil and improve system resilience.
The article recounts the Forbidden City’s first night‑time Lantern Festival event, the overwhelming demand that caused the museum’s ticketing website to crash, and includes an interview with a senior operations engineer who explains the causes of such overloads and outlines rapid mitigation and scaling strategies.
This article details Ctrip's journey of building and operating a massive container cloud platform, covering its architectural evolution, operational challenges, tooling, capacity management, and future directions, offering practical insights for large‑scale cloud‑native environments.
The article presents a detailed critique of Docker, arguing that despite its marketed benefits of portability, security, and resource management, its design introduces significant complexity, hidden costs, and operational risks that many organizations overlook when adopting it for production workloads.
This article explains how network engineers can use lightweight monitoring solutions, log analysis, traffic and error tracking, and custom automation scripts to gain visibility, reduce troubleshooting time, and safely automate routine network tasks in enterprise environments.
During the 2019 Chinese New Year Gala, Baidu mobilized a massive technical operation—scaling cloud resources, isolating traffic, and deploying AI‑driven security—to flawlessly process over 9 billion red‑packet interactions despite unprecedented traffic spikes and login surges.
The article critically examines Docker’s promised benefits—portability, security, and orchestration—highlighting its design shortcomings, hidden complexities, lock‑in risks, and the often‑overlooked alternatives that can deliver the same goals with far less overhead.
This article explains how to approach monitoring for a newly introduced system by focusing on white‑box metric collection, distinguishing basic and business metrics, outlining common collection methods, and detailing Google SRE's four golden indicators—error, latency, traffic, and saturation—to guide effective observability.
This article explains the differences between white‑box and black‑box monitoring, outlines common data‑collection techniques for both basic and business metrics, and details Google SRE’s four golden indicators—error, latency, traffic, and saturation—to help engineers design effective monitoring solutions.
The author shares a journey from a college Linux basics class to becoming an operations manager, detailing early hands‑on tasks, challenges in chaotic server environments, the creation of monitoring systems, and three key career lessons about learning, deepening technical understanding, and evaluating workplace fit.
This article details Youku's rapid, large‑scale IPv6 rollout—from initial pilot to half‑million users—covering the motivations, phased migration plan, technical challenges, implementation steps across client and server, gray‑release strategies, monitoring, and future outlook.
As internet traffic surges, organizations must juggle legacy and new architectures while balancing stability and cost, prompting a shift toward goal‑oriented operations platforms that let systems automatically determine optimal actions based on real‑time conditions and knowledge bases.
This talk outlines Alibaba’s massive global host infrastructure, the evolving security governance from manual controls to data‑driven, automated systems, the challenges of compliance and operational efficiency, and future directions such as zero‑trust and invisible security.
This article details UCloud's five‑month, multi‑department hot migration of its Seoul data center, covering planning, ZooKeeper scaling, udatabase and MySQL migration strategies, deployment platforms, and the final cut‑over steps that ensured zero user impact.
This article explores the essential concepts for selecting and building an operations monitoring platform, reviewing popular tools such as Cacti, Nagios, Zabbix, Ganglia, Centreon, Prometheus, and Grafana, and outlines a six‑layer architecture and practical strategies for scaling, alerting, and high‑availability in diverse environments.
This article outlines ten practical guidelines for DBAs and system administrators—including rollback‑ready changes, cautious use of destructive commands, prompt customization, reliable backups, production respect, thorough handovers, alerting, monitoring, careful failover, meticulous checks, and the virtue of simplicity—to minimize costly system outages.
This article presents Ctrip's extensive AIOps exploration, detailing operational challenges caused by massive monitoring data, the evolution of DevOps practices, the design of intelligent anomaly detection and diagnosis systems, practical use cases, and a forward‑looking perspective on the future of AI‑driven operations.
This article systematically explains how to enhance e‑commerce platform availability by implementing both black‑box monitoring to detect functional failures and white‑box monitoring to pinpoint root causes, detailing core order‑process metrics, common issues, mitigation strategies, and illustrative Grafana dashboards.
This guide outlines critical operational practices for Linux server management, emphasizing thorough testing, cautious command execution, regular backups, strict access controls, comprehensive monitoring, performance tuning, and a disciplined mindset to avoid costly incidents and ensure system stability.
This guide walks you through installing and configuring mailx, creating Zabbix email alert scripts, and integrating WeChat notifications by setting up the necessary scripts, parameters, and media actions within the Zabbix web interface.
The 58 Intelligent Monitoring System provides a flexible, 24/7, multi‑dimensional monitoring solution that covers network, server, system, application and business layers, incorporates AI‑driven prediction, anomaly detection, alarm merging, root‑cause analysis and self‑healing, and offers both PC and WeChat interfaces for operators.
This article explains how Baidu Cloud's Noah intelligent operations product builds a unified operations knowledge base by categorizing metadata, status, and event data and applying three ETL approaches—Pull, Push, and Lazy—to handle offline, near‑line, and real‑time data integration.
This guide walks through a step‑by‑step investigation of a sudden 98% CPU spike on a data‑platform server, showing how to pinpoint the offending process, trace the problematic Java thread, analyze the root cause in a time‑utility method, and apply an optimized solution that reduces CPU load by thirtyfold.
This article explains the concept of service degradation, why it is needed to maximize limited resources during traffic spikes, outlines common degradation strategies, and provides practical steps and code examples for ranking, sequencing, and implementing degradation in both front‑end and back‑end systems.
The article introduces the Kanban method as a lean approach to managing professional services, outlines ten essential principles such as focusing on flow, incremental change, risk management, and scalability, and concludes with a recruitment announcement seeking DevOps engineers in Beijing.
Youku’s pioneering IPv6 migration, launched in early 2018 and completed by Double 11, progressed through external, dual‑stack internal, and IPv6‑only phases, tackled test‑environment, MTU, and library issues, employed sophisticated gray‑release and monitoring, and ultimately unlocked unlimited address space, enhanced security, and faster, scalable video delivery.
This talk outlines why organizations pursue cloud adoption, defines cloud‑native goals, reviews emerging trends such as bare‑metal and hyper‑convergence, and shares practical private‑cloud operation experiences, including ITIL processes, project management, and tooling, offering a comprehensive view of national‑level private‑cloud practice.
Ant Financial’s internal red‑blue technical attack‑defense program, driven by a dedicated blue team and SRE‑based red team, continuously probes system weaknesses, refines fault‑injection tools like Awatch, and evolves high‑availability and self‑healing mechanisms to strengthen risk control and operational reliability.
The article details JD's intelligent supply chain enhancements—including machine‑learning demand forecasting, a new "explosive product warehouse" model, non‑stock fulfillment visualization, blockchain‑based product traceability, and comprehensive system‑stability measures such as data‑consistency checkpoints, throughput buffering, and 24/7 incident response—to boost efficiency and reliability during large‑scale promotions.
This article recounts several real incidents where disgruntled engineers or admins deleted critical databases as retaliation, highlighting the severe consequences and stressing that proper backups and cautious use of destructive commands are essential for any organization.
The article uses a restaurant scenario to explain the differences between centralized, cluster, and distributed system deployments, illustrating how performance, security, scalability, and availability map to user requirements and why scaling from a single server to clusters and distributed architectures is essential as demand grows.
This article explains how to monitor the Puppet configuration management system, covering its request‑response‑execution‑report workflow, key monitoring metrics, black‑box and white‑box monitoring approaches, common issues, and practical solutions for ensuring large‑scale cluster consistency.
The article explains why visualizing microservice architectures is essential for high availability, describes common and advanced visualization methods, discusses how to make visualization effective, handle architectural changes, identify key components, and leverage visual data for operations and reliability improvements.
In this talk, Alibaba senior tech expert Wang Zhaogang explains how intelligent monitoring, powered by machine‑learning algorithms and multi‑metric analysis, addresses the challenges of diverse business scenarios, enhances anomaly detection, improves root‑cause analysis, and shapes the future of smart operations.
The article explains Docker’s rapid rise, clarifies the distinction between Docker and containers, compares containers with virtual machines, and describes why Docker simplifies application deployment, while also noting a related DevOps live‑stream event and promotional details.
This guide walks you through preparing a Linux disk, safely protecting the partition, installing extundelete, and using it to restore both files and directories that were mistakenly removed, providing practical commands and screenshots for each stage.
This article details the core capabilities of Nginx without third‑party modules, including reverse proxy, various load‑balancing strategies, static and dynamic HTTP serving, forward proxy setup, and hot‑reload commands, providing clear configuration examples for each feature.
This guide walks through configuring static IP, netmask, gateway, and DNS for each node in a virtual‑machine cluster on Linux, showing exact file edits for the master and slave machines, testing connectivity with ping commands, and confirming the network setup is complete.
JD's chief scientist Shen Zuo‑jun explains how shortening the decision chain with end‑to‑end algorithms and intelligent multi‑level replenishment dramatically improves inventory turnover, stock availability, and forecasting accuracy, showcasing a novel supply‑chain research direction that integrates AI, big data, and human expertise.
The article shares a comprehensive, experience‑driven guide on building fault‑tolerant systems—covering retry mechanisms, dynamic node removal, timeout settings, service degradation, decoupling, and business‑level safeguards—to enable a platform that scales from millions to billions of daily requests without relying on manual fire‑fighting.
This guide outlines why Linux dominates the internet, recommends starting with CentOS or RHEL, suggests effective learning resources, and lists the core knowledge, tools, and advanced topics every aspiring Linux operations engineer should master.
The Lingjing system, built by Alibaba Infrastructure, provides an end‑to‑end hardware‑software performance diagnosis platform that collects fine‑grained metrics, visualizes data, automatically detects anomalies, and helps optimize resource utilization across complex data‑center stacks.
The article details how JD Logistics’ extensive warehouse, routing, distribution, and fulfillment systems—leveraging big data, AI, GIS, IoT, and distributed architectures—were engineered and optimized to handle the massive order surge during the 11.11 Global Shopping Festival with high throughput, low latency, and zero incidents.
Alibaba’s massive data‑center operations face growing hardware failures, so they built the DAM (Dammo) platform that integrates Tianji management, predictive fault detection, automated remediation, and self‑balancing cluster reconstruction, achieving near‑complete hardware issue coverage and reducing manual intervention across hundreds of thousands of servers.
This article introduces thirteen practical Linux operation tools—including Nethogs, IOZone, IOTop, IPtraf, IFTop, Fail2ban, and more—providing concise descriptions, download links, and step‑by‑step installation commands to help system administrators monitor performance, network traffic, and protect against attacks.
The article outlines eBay's key scalability best practices—including functional partitioning, horizontal sharding, avoiding distributed transactions, aggressive asynchronous decoupling, moving work to async pipelines, pervasive virtualization, and intelligent caching—to achieve linear or better resource usage as load grows.
This article presents 360's AIOps project, detailing how AI-driven capacity forecasting, host classification, resource recycling, intelligent MySQL scheduling, anomaly detection, alarm convergence, and root‑cause analysis have saved millions, improved efficiency, and paved the way for a fully automated operations workflow.
The article details Ant Financial's development of a highly available wireless test cluster that supports automated testing for its massive mobile app ecosystem, describing its architecture, data‑driven monitoring, full integration, and the All‑in‑One solution that enables rapid, cost‑effective iteration across dozens of services and IoT scenarios.
At Didi, the team replaced a chaotic mix of Kafka, Redis, and other queues with a custom, RocketMQ‑based service, using dual‑write and dual‑read migration, extensive performance testing, custom failover, batch extensions, and operational tweaks to achieve stable high‑throughput, low‑latency messaging at massive scale.
This article explains how Alibaba’s massive data‑center operations detect hardware failures early, automatically isolate faulty servers, and execute self‑healing workflows through a centralized, cloud‑native platform, detailing detection methods, convergence rules, architecture evolution, and the benefits of a closed‑loop AIOps system.
