This article presents a comprehensive guide to Linux performance analysis, covering CPU, memory, disk I/O, network, system load, flame‑graph techniques, and a real‑world Nginx case study, enabling engineers to quickly locate and resolve bottlenecks.
Tencent Classroom migrated roughly four million videos (about 1,500 TB) to Tencent Cloud in a two‑phase rollout that integrated cloud upload, transcoding, encrypted HLS playback with anti‑leech and DRM, added AI‑based content moderation, resolved SDK and multi‑region issues, and built a custom mini‑program player, ultimately boosting upload success rates, playback reliability, and security.
This article describes Qunar Ticket’s comprehensive test‑environment governance framework, including the “Mirror‑Inspect” monitoring service, configuration and data synchronization strategies, and automated allocation management, highlighting how these practices reduced environment‑related project delays from up to 20% to below 8%.
This guide explains how to combine ELK (Elasticsearch, Logstash, Kibana) with Zabbix using the logstash-output-zabbix plugin, configure Logstash pipelines to filter error keywords, and set up Zabbix templates and triggers for instant log‑based alerts.
This article details NetEase Cloud Music's journey from evaluating RabbitMQ, Kafka, and RocketMQ to designing a fully controllable, high‑availability message queue with failover, tracing, monitoring, and numerous custom extensions that now serve hundreds of services and billions of messages daily.
This guide explains the background, key features, architecture, and step‑by‑step deployment of Thanos—including Sidecar, Store, Query, Compact, Bucket, Rule, and Check components—to provide a unified, high‑availability Prometheus monitoring view with unlimited historical data storage using object storage.
This project addresses challenges in brand advertising testing by implementing automated testing, monitoring, and data construction solutions, significantly improving efficiency, reducing manual effort, and enhancing product quality through real-time issue detection and resolution.
The article explains how Thanos combined with Prometheus provides a cloud‑native, highly available solution for long‑term metric storage and fast querying to address the exponential growth of monitoring data in large OpenStack and Ceph deployments.
This guide explains how to extract an item ID from Zabbix alerts, capture the corresponding chart image, upload it to a public server, format the alert as markdown, and deliver it through a DingTalk robot webhook using a Python script.
This article examines Baidu’s Noah monitoring and alarm platform, detailing its end‑to‑end fault‑handling workflow, the three‑component architecture, and the practical challenges of deploying AIOps—such as long algorithm iteration cycles, complex alarm management, and alarm storms—while highlighting scalability and commercial considerations.
This article details a step‑by‑step investigation of repeated follower process alerts in a Paxos‑based distributed coordination service, revealing a Java GC pause‑induced memory leak in the front‑end Proxy and describing the rapid mitigation actions taken to restore system stability.
In this interview, veteran Bank of China software center analyst Yuan Chunliang shares two decades of experience, detailing how the bank’s shift to distributed core banking systems sparked the development of AIOps practices such as no‑threshold intelligent monitoring, multi‑indicator analytics, and AI‑driven ticket automation to boost operational efficiency and reduce risk.
This article introduces the fundamental concepts of microservices, covering their definition, advantages, design principles, core components such as service discovery, gateways, configuration centers, monitoring, circuit breaking, and container orchestration, while also discussing suitable organizational structures and practical implementation details.
This article answers a developer's question about Node.js performance optimization by outlining major optimization areas, listing practical techniques such as using streams, clustering, and load balancing, and describing typical bottlenecks and essential performance metrics to monitor.
This article outlines the comprehensive responsibilities and evolution of IT operations, covering system, application, database, security, and platform management, detailing tasks such as infrastructure building, monitoring, optimization, automation, and the shift from manual processes to self‑scheduling systems.
This article walks through the evolution of a ride‑hailing platform’s dispatch system—from a single‑database prototype to a data‑driven, AI‑powered architecture—detailing architectural choices, big‑data pipelines, model training, real‑time scheduling strategies, and monitoring practices for handling 400,000 daily orders.
This article explains how Java memory leaks can occur despite automatic garbage collection, describes JVM GC‑Root analysis, outlines practical monitoring with Spring Boot Actuator, Prometheus, and Grafana, and provides step‑by‑step debugging commands and code adjustments to locate and fix the leak.
This article explains how the Thanos and Prometheus combination provides long‑term, highly available monitoring for massive OpenStack and Ceph clusters, detailing its features, architecture, key components, practical deployment issues, and the operational problems it resolves.
By combining server‑side rendering, critical‑render‑path tuning, resource minification, image format upgrades, and RAIL‑based multi‑dimensional monitoring, JD dramatically reduced its WeChat shopping homepage’s first‑screen load time, offering a practical roadmap for front‑end performance optimization.
This article explains how to use Zabbix for simple service‑port monitoring, covering installation, host and item creation, trigger and graph setup, and email notification configuration, providing a practical guide for developers who need lightweight operational monitoring without writing custom code.
This guide demonstrates how to use Zabbix's API with Python to retrieve host information, item IDs, historical and trend data, process the metrics, and automatically write them into an Excel/CSV file, enabling scheduled monitoring reports.
This article details how Ctrip builds, deploys, tests, releases, and operates Node.js applications—including engineering processes, core middleware, Docker-based deployment, multi‑process communication, monitoring, and full‑link tracing—while sharing practical lessons learned from real‑world production use.
This article introduces the fundamentals of time‑series databases, explains why InfluxDB was chosen, describes the TSM storage engine and shard concepts, outlines the internal 360 InfluxDB‑HA architecture, compares its performance with a single node, and provides integration and future‑development guidelines.
lmstfy is a stateless, Redis‑backed task‑queue service from Meitu that provides delayed execution, automatic retries, priority handling, expiration, and a RESTful HTTP API, while supporting horizontal scaling via namespace‑based token routing, rich Prometheus metrics, and future disk‑based storage extensions.
Redis Sentinel provides an automated high‑availability solution for Redis by monitoring master health, broadcasting SDOWN/ODOWN messages, electing a new master based on priority, offset and runid, and allowing clients to discover the current master via sentinel commands, all explained with configuration examples and diagrams.
This guide walks through installing Zabbix 4.4.0 on CentOS 7, configuring PostgreSQL, adding the TimescaleDB time‑series extension, setting up the Zabbix database, and tuning Linux, Nginx, and PHP so the monitoring platform runs smoothly with high‑performance time‑series storage.
This article explores the evolving landscape of IT operations, detailing role specializations, comprehensive skill maps for system, web, big data, and container ops, and compares three ELK logging architectures while emphasizing a data‑driven approach to monitoring and incident response.
This article recounts Huang Jie’s presentation on the evolution of Ele.me’s monitoring system, detailing its three development stages, the challenges faced, the layered monitoring architecture, the design of a unified platform supporting both PC and mobile, and the underlying LinDB time‑series database.
This article introduces Prometheus, an open‑source monitoring system, explains its core components such as server, exporters, and Alertmanager, provides step‑by‑step installation and configuration instructions, demonstrates alert rule setup, and shows integration with tools like Grafana, Telegraf, Spring Boot and Canal.
This article details the design, requirements, architecture, and operational dashboard of Pepperbus, a unified bus system that standardizes asynchronous task handling for PHP, Java, and Go services at Huajiao, highlighting its storage plug‑in model, Redis‑based protocol, and monitoring capabilities.
This article outlines how the Weibo advertising team evolved its operations from hand‑crafted scripts to a fully automated, AI‑enhanced platform, covering service governance, multi‑datacenter deployment, a custom automation system (Kunkka), effective alerting, full‑link tracing, and a massive metric monitoring solution built on big‑data technologies.
This article explains how cloud‑native applications can achieve full observability using the Elastic Stack by outlining the four essential steps—health checks, metrics, logs, and tracing—while discussing the underlying challenges, implementation patterns, and practical recommendations for reliable monitoring.
This guide walks you through a systematic, step‑by‑step process for diagnosing and resolving poor‑performance or failure incidents on Linux servers, covering everything from gathering context and checking who is logged in to inspecting processes, network services, hardware, I/O, logs, cron jobs and application‑level diagnostics.
This article presents Google SRE expert Ramón Medrano Llamas’s comprehensive guide on designing, operating, and maintaining large‑scale, highly available software systems, covering SRE fundamentals, daily workflows, scalability strategies, fault‑tolerant architecture, monitoring, and operational best practices.
This article details LeXin Medical's journey from a manually built Kubernetes cluster to the UCloud UK8S platform, covering the challenges of self‑hosting, the tools and processes used for migration, and the resulting improvements in logging, monitoring, CI/CD, and overall operational efficiency.
This article explains the design, core features, implementation details, and real‑world deployment of the Auto_ApiTest tool for automating API testing in a large‑scale search platform, covering data management, configuration, code examples, CI integration, monitoring, and measurable outcomes.
This article compares Meituan’s in‑house EMonitor with the open‑source CAT platform, outlines their core monitoring models, sampling pipelines, custom metrics and integration capabilities, and traces the evolution of monitoring stages from log‑based to intelligent root‑cause analysis.
The "马哥Linux运维" public account, built on a technology‑first philosophy, shares high‑quality, non‑clickbait content and has compiled the 100 most‑read Linux operations articles from the past three years, offering a comprehensive resource for sysadmins and DevOps engineers.
The BIM construction‑drawing team built an automated monitoring and validation tool using Spring Boot, REST‑Assured and JIRA APIs, turning a tedious manual bug‑fix workflow into a streamlined process that reduced online drawing‑failure rates from 0.01% to virtually zero.
This article details Beike's real‑time computing engine, covering its background, streaming platform built on Spark Streaming and Flink, data ingestion via Kafka, metadata handling, SQL‑based task development, monitoring, storage solutions, and future roadmap for resource management and AI‑enhanced monitoring.
This guide shows how to use Python 2.7 to extend Zabbix 4.2 alerts by attaching the current graph image to email and WeChat notifications, covering environment setup, script details, Zabbix media type configuration, and testing the final result.
This article explains how Linux reports CPU usage with tools like top, the meaning of the fields in /proc/stat, how utilization percentages are calculated, the concepts of run queues, load average, context switching, multi‑core scheduling, and how to use perf and taskset for deeper performance analysis.
This article demonstrates how to leverage uiautomator1.0 for Android automation by creating a shell‑based Context, accessing PackageManager, managing SQLite databases, monitoring app activities and processes, and implementing Chinese text input through AccessibilityNodeInfo.
This article explains InfluxDB's built‑in monitoring system, internal measurements, useful commands, HTTP endpoints, and provides detailed instructions for performing full backups and restores, including configuration tweaks, command syntax, and important considerations about formats and data ranges.
Tencent Video’s front‑end Node.js services achieve massive concurrency stability through a layered architecture that combines GSLB‑directed CDN, TGW, Nginx, and clustered workers, reinforced by process guardians, three‑tier disaster‑recovery fallbacks, multi‑level caching with lock mechanisms, and comprehensive logging and alerting.
This article describes how Ctrip introduced a customized Dubbo framework called CDubbo, covering the motivations for adopting Dubbo, the initial implementation of service governance and monitoring, and subsequent extensions such as callback enhancement, serialization support, circuit‑breaking, testing tools, and a bastion testing gateway.
This article shares concrete SRE‑inspired techniques—duty‑roster scheduling, tiered alert handling, automation safeguards, dashboard focus on top‑3 alerts, time‑based filtering, and systematic code review—to dramatically reduce daily alarm volume while keeping on‑call teams motivated and effective.
At the 2019 Hangzhou Cloud Expo, Alibaba and Intel experts presented a series of intelligent operation solutions for large‑scale cloud infrastructure—including automated server repair, network change verification, application operation brain, monitoring advancements, power‑optimization, and data‑center management—demonstrating how AI‑driven techniques improve stability, cost, and efficiency.
This article examines the surge in real‑time data demands for e‑commerce promotions, outlines how to collect, compute, and deliver streaming data, compares batch and stream processing, lists typical use cases, and discusses the challenges of building scalable, low‑latency pipelines.
This article shares a practical case study of implementing AIOps in an online‑education company, covering the background pain points of massive monitoring data, the designed architecture with real‑time processing and machine‑learning pipelines, and the challenges and opportunities of intelligent operations.
This guide walks through the architecture of Prometheus, the key Kubernetes monitoring metrics, and step‑by‑step instructions to deploy Prometheus, Grafana, and Alertmanager on a K8s cluster, configure RBAC, set up ConfigMaps, expose services, import dashboards, and test alert notifications via email.
The article outlines how a company built a centralized cron‑job platform—using Python’s crontab library, SaltStack deployment, ELK log aggregation, and automated email alerts—to integrate existing tasks, provide reliable CRUD operations, enable fast log querying, and detect failures, cutting operational overhead while managing thousands of scheduled jobs across multiple servers.
This article explains how to migrate a Mesos+Marathon environment to OpenShift and configure Prometheus Operator ServiceMonitor resources, including service creation, ServiceMonitor definition, and verification steps, with full YAML examples and screenshots of the monitoring UI.
This article details how a high‑traffic trading app migrated from Node.js to Go, outlining Go's advantages, drawbacks, and the team's engineering practices—including environment management, dependency handling, efficiency tools, standardized libraries, testing, monitoring, and distributed tracing—to achieve robust, high‑performance backend services.
The article describes how a high‑traffic payment platform achieves 99.999% availability by avoiding single points of failure, applying fail‑fast principles, implementing resource limits, building real‑time monitoring and alerting, and automating fault detection, routing, and recovery to ensure continuous 7×24 operation.
This article introduces Prometheus, an open‑source cloud‑native monitoring and alerting system, covering its main characteristics, core components, architecture diagram, typical use cases, query language syntax, built‑in functions, time‑series types, and practical tips for reliable operation.
The article details how Autohome tackled a severe market downturn by launching the 818 Global Car Night, describing the background, massive technical challenges, infrastructure scaling, high‑availability architecture, full‑link stress testing, monitoring, security measures, and the lessons learned for future large‑scale online events.
This article presents a detailed, step‑by‑step illustration of microservice architecture, covering its motivations, component breakdown, migration from monoliths, common pitfalls, monitoring, tracing, logging, gateway, service discovery, resilience patterns, testing strategies, frameworks, and the emerging service‑mesh approach.
This article walks through the transition of an online supermarket from a simple monolithic web application to a fully fledged microservice architecture, highlighting the challenges, design decisions, component choices, monitoring, tracing, testing, and operational practices needed for a robust, scalable system.
This article explains the three main monitoring approaches—log collection, distributed tracing, and metric gathering—in microservice architectures, outlines the layered monitoring model, lists key system, application, and user metrics, and reviews popular open‑source time‑series monitoring tools such as Prometheus, OpenTSDB, and InfluxDB.
This guide walks through setting up a Zabbix server on ESXi, enabling NAT and port forwarding with iptables, installing the Zabbix agent on Windows Server 2012, and creating Windows‑specific monitoring items such as IIS process status and performance counters.
This article explains how to detect server‑induced empty JSON responses during API automation, integrate the free AlertOver service for instant failure alerts, and provides complete Java code for a robust getHttpResponse method and an AlertOver utility class to send system, function, business, and reminder messages.
This guide walks through downloading, installing, configuring, and verifying Prometheus, Alertmanager, Node Exporter, and Grafana on a Linux server, including service setup, YAML configuration files, and a simple test to trigger and receive an alert via email.
This article introduces a StackStorm‑driven ChatOps framework that consolidates monitoring alerts, applies rule‑based root‑cause analysis, and automatically executes self‑healing actions, outlining its architecture, components, workflow definitions, and practical deployment results within an enterprise operations environment.
The article details a comprehensive homepage redesign that introduced strict TypeScript type checking, migrated to a customized Webpack build, added Nightwatch.js automated tests, upgraded monitoring with BadJS and performance metrics, implemented skeleton screens, and improved accessibility for visually impaired users.
Prometheus, an open‑source monitoring and alerting toolkit originally developed by SoundCloud and now a CNCF project, offers multidimensional data models, flexible queries, pull‑based data collection, various metric types (counter, gauge, summary, histogram), local and remote storage, service discovery, and integrates with Grafana for visualization.
This guide walks through installing the msmtp email client, configuring mutt, using the free command to capture memory and swap statistics, writing Bash scripts to log and email the data, and scheduling the tasks with cron so alerts are sent when swap usage exceeds 80 %.
This article presents a curated collection of practical Linux operation tools—including Nethogs, IOZone, IOTop, IPtraf, IFTop, HTop, NMON, MultiTail, Fail2ban, Tmux, Agedu, NMap, and Httperf—along with download links, installation commands, usage tips, and illustrative screenshots to help system administrators enhance monitoring, performance testing, and security.
This article explains why Youzan chose Kubernetes, describes their multi‑IDC, multi‑cluster architecture with high‑availability master components, logging and monitoring solutions, custom service exposure, image building process, lifecycle hooks, continuous delivery pipeline, operational challenges faced, and future plans such as operators and auto‑scaling.
This article walks through the complete deployment of a time‑series monitoring solution using the TICK stack—installing and configuring InfluxDB, Telegraf, and Grafana—to collect, store, and visualize key metrics such as CPU, memory, network, and disk I/O for a big‑data platform.
This article summarizes Zhang Yan's presentation at the 2019 Gdevops Global Agile Operations Summit, detailing Qunar's OPS goals, evolution of its automation platform, the adoption of PHM concepts from aerospace to internet services, and practical fault‑prediction workflows, metrics, and challenges for achieving higher availability.
This tutorial walks through setting up Spring Boot Admin as a monitoring server and client, integrating it with Eureka for service discovery, adding Spring Security for authentication, and configuring email and custom notifications, complete with Maven and YAML configurations and Java code examples.
This article examines the difficulties of UI automation such as high script costs, instability, and rapid UI changes, and presents practical solutions using Puppeteer—including device emulation, robust test architecture with Mocha, error handling, dynamic selector strategies, and a monitoring system that captures screenshots and reports failures.
This article outlines common event‑logging quality problems, a systematic registration and real‑time validation framework built on Flink, configurable rule syntax, explainable results, continuous monitoring, targeted optimizations, and an evaluation model that together form a comprehensive quality‑center for big‑data platforms.
This article describes the design and architecture of a front‑end monitoring platform, detailing its JS SDK, data analyzer, web UI, reference log‑collection architectures, use of Kafka, MySQL, Hive and HBase, scaling considerations, storage conventions, and operational best practices.
This article explains the fundamentals of Prometheus histogram metrics, illustrates why they are cumulative, shows how to drop unwanted buckets with relabeling, and demonstrates quantile calculations using the histogram_quantile function, providing practical examples and code snippets for effective monitoring.
This article presents a detailed, categorized list of DevOps tools—including version control, automated build and testing, CI/CD, container platforms, configuration management, micro‑service platforms, logging, and monitoring solutions—providing concise descriptions for each to help teams select appropriate utilities for modern software delivery pipelines.
This article explains the four core Prometheus metric types—Counter, Gauge, Histogram, and Summary—detailing their characteristics, appropriate use cases, PromQL functions, and how they differ, while providing language-specific client library references and visual examples.
This tutorial explains how to retrieve Zabbix alarm data via its API, deduplicate and count triggers, generate an HTML report, and automatically email the report using Python, with optional weekly scheduling via Linux cron.
This guide walks through obtaining a free Tencent Cloud SMS quota, creating an application, signature, and template, writing a Python script to format Zabbix alerts, configuring Zabbix media types, and testing the end‑to‑end SMS notification workflow while highlighting common pitfalls.
The article recounts a production incident where a GC alert triggered due to excessive object creation in a scheduled ad‑transaction sync task, and explains how the problem was diagnosed, mitigated by task splitting, and finally resolved through data sharding across multiple machines.
This article explains why comprehensive, multi‑layer monitoring is essential for distributed systems, outlines environment, program, and business metrics, recommends practical tools such as Zabbix, open‑falcon, Prometheus and Grafana, and provides a step‑by‑step evolution plan and alerting strategy.
The Open Alarm Platform provides a flexible data model, modular architecture, and robust stability features to enable various business lines to integrate their custom monitoring systems via APIs, offering alert convergence, merging, multi‑channel delivery, and comprehensive management while reducing development and maintenance costs.
The 2019 International AIOps Challenge, co‑hosted by Suning Technology, the China Computer Federation, Tsinghua, Nankai and Huawei, showcased AI‑powered solutions for KPI anomaly detection, highlighted academic‑industry collaboration, and underscored the growing impact of intelligent monitoring on modern IT operations.
Learn step‑by‑step how to install the msmtp email client, configure mutt, use the free command to monitor Linux memory and swap usage, write Bash scripts that log and email the results, and schedule these checks with cron for continuous system health alerts.
This article introduces a StackStorm‑driven monitoring and alert auto‑remediation architecture that converges alarms, performs root‑cause analysis, and executes self‑healing actions, detailing its components, workflow, configuration examples, and real‑world deployment outcomes.
The Meitu XiuXiu community tackled rapid user‑growth‑induced performance bottlenecks by deploying end‑to‑end monitoring (client Hubble and RED‑based server metrics), full‑link load testing, DNS and image‑delivery optimizations, and server‑side tuning such as bias‑locking removal and JIT warm‑up, emphasizing user‑experience and cross‑team collaboration.
This article explains how to handle high‑volume advertising monitoring by storing raw request logs in ClickHouse, enabling sampling and materialized views, and using TP999 metrics, aggregating tables, and Grafana queries to achieve fast, flexible, and low‑impact real‑time analytics on billions of events.
The article details the evolution of MaFengWo's payment center from a basic payment‑refund module (1.0) to a comprehensive, modular platform (2.0), describing its core capabilities, layered architecture, customizable checkout, routing management, monitoring system, and future micro‑service roadmap.
This article explains why monitoring is essential for Node.js applications, outlines the most important performance metrics such as CPU usage, memory usage, garbage collection, event‑loop latency, clustering, and request/response latency, and introduces several ready‑to‑use open‑source monitoring tools.
This article details Xiaomi's end‑to‑end, highly available Kubernetes monitoring solution that combines Prometheus, OpenTSDB, and Falcon to handle massive dynamic metrics, ensure persistent storage, and support seamless scaling across multiple clusters.
This article narrates the origin and evolution of Elasticsearch, its underlying Lucene technology, the surrounding Elastic Stack components such as Logstash, Kibana, and Beats, and illustrates how they together provide powerful search, logging, monitoring, and analytics solutions for modern applications.
This article explains the fundamentals of Serverless architecture, its pros and cons, and provides a detailed, practical walkthrough for migrating a lightweight web application to Tencent Cloud's Serverless Cloud Function platform, covering architecture redesign, data storage, performance tuning, debugging, deployment, logging, and monitoring.
This article explains how Ctrip’s hotel data intelligence platform handles over ten billion daily data updates and nearly a million queries by adopting ClickHouse, detailing the system's background, the reasons for choosing ClickHouse over other solutions, the data ingestion pipelines, monitoring strategies, operational practices, and performance outcomes.
This article outlines eight practical high‑availability techniques—multiple replicas, isolation, rate limiting, circuit breaking, degradation, gray releases with rollback, comprehensive monitoring, and proactive log alerting—to help engineers design systems that are both efficient and reliable under heavy load.
The article outlines essential techniques for building highly available internet services, covering system availability metrics, multi‑level caching, database and service isolation, concurrency control, gray‑release deployment, comprehensive monitoring, graceful degradation, asynchronous design, and data‑consistency scenarios for both real‑time and offline big‑data workloads.
This guide explains recent cloud‑based data‑leak incidents, categorizes common leak vectors, analyzes technical and managerial root causes, and provides actionable monitoring techniques, rule‑configuration examples, and incident‑response steps using Tencent Cloud Security Operations Center.
This article provides a comprehensive overview of Prometheus, an open‑source monitoring and alerting system, covering its origins, key features, architecture, core components, metric types, data collection methods, service discovery, storage options, and query capabilities.
This article presents the design, implementation, and evaluation of X‑monitor, an AI‑driven, adaptive, multi‑modal financial data quality monitoring platform that combines rule‑based and self‑learning strategies to improve detection efficiency, accuracy, and flexibility for large‑scale securities‑firm data streams.
This article explains how microservice complexity drives the need for observability, outlines its three pillars—logging, metrics, and tracing—describes OpenTracing concepts and APIs, and compares major open‑source distributed tracing systems to help engineers choose the right solution for fault localization, performance analysis, and capacity planning.
