This article compares Prometheus with Zabbix, walks through downloading and installing Prometheus, explains the key sections of prometheus.yml, shows how to add a node_exporter for machine metrics, and demonstrates integrating Grafana to create rich monitoring dashboards.
At Didi, lean‑production ideas are woven into DevOps by establishing coding standards with SemVer and the NUWA framework, introducing traffic‑recording replay and a sim‑sidecar for realistic testing, extending monitoring with fine‑grained metrics, and unifying these practices into an ecosystem that cuts waste, speeds releases, and boosts overall software quality.
This guide explains why monitoring is essential, describes the concept of availability "X nines," walks through Zabbix installation, web interface setup, host and template configuration, custom monitoring, alerting with OneAlert, visualization, distributed monitoring, SNMP integration, and provides practical command examples for managing large server fleets.
During the COVID‑19 pandemic, Tencent Classroom’s front‑end team faced unprecedented traffic spikes, forcing rapid decisions on domain stability, video streaming, data platforms, messaging, monitoring, and deployment pipelines, while sharing lessons on scaling, resilience, and collaborative development under extreme pressure.
This guide walks you through a step‑by‑step method to add and switch custom Grafana themes using the Boom Theme panel plugin and ready‑made theme packs from GitHub, enabling theme changes across dashboards without modifying Grafana's source code.
This article explains what Druid is, how to add the Druid dependency, configure it in Spring Boot's application.yml, set up monitoring with a custom DruidConfig class, and resolve common errors such as property binding failures and login issues.
This article presents the evolution, architecture, and operational metrics of Beike Zhaofang's Hermes real‑time computing platform built on Apache Flink, detailing its business scale, SQL editors, task growth, monitoring, use cases, and future development directions.
This guide walks through downloading the pfSense Zabbix template, installing the os‑zabbix‑agent plugin on OPNsense, configuring custom agent parameters, testing connectivity, and setting up the host and template in Zabbix Server to monitor OPNsense metrics.
This article explains why monitoring is essential for operations, outlines the four‑layer monitoring standard (infrastructure, liveliness, performance, business), breaks down functional modules and data flows, and showcases JD Cloud's practical design, alarm‑convergence project, and future AI‑driven observability directions.
This article details how Zhenkun's frontend team responded to fast business growth by unifying their tech stack—introducing a private npm registry, a custom CLI scaffolding tool, Node.js backend, mock services, standardized webpack builds, DevOps automation, static resource delivery, monitoring, visual editors, UI component libraries, and automated testing—to boost development efficiency and maintainability across multiple locations.
Didi's National Carpool Day on Dec 3 2019 attracted 3.1M passengers; stability ensured via six pillars: organized task force, capacity forecasting and rapid container scaling, comprehensive monitoring with fire‑fighting map, robust contingency platform, strict process standards, and coordinated third‑party preparation.
This article explains why online applications experience crashes during traffic spikes, outlines the complexity of modern cloud‑based service architectures, and shares Alibaba engineers’ practical notes on high‑availability design, capacity planning, full‑link stress testing, monitoring, traffic control, routine inspections, and chaos‑engineering drills using tools such as AHAS, PTS, Sentinel and Advisor.
This article outlines how Ping An’s IT operations team systematically prepares for high‑traffic business events—detailing service assessment, architecture mapping, configuration audits, monitoring design, capacity planning, stress testing, and coordinated incident response—to guarantee reliability and performance under massive concurrent loads.
This article details Hema's approach to guaranteeing system stability for its offline and delivery operations, covering the complete smart‑dispatch architecture, exhaustive dependency analysis, database and middleware safeguards, monitoring strategies, gray‑release practices, testing methods, and emergency response procedures that together enabled a year of zero failures.
This guide compiles a practical collection of Linux command‑line tricks and Java troubleshooting tools—such as tail, grep, awk, find, tsar, btrace, Greys, jstack, jmap and more—complete with usage examples, code snippets and visual outputs to help engineers quickly diagnose and resolve production problems.
This article walks through the transformation of an online supermarket from a simple monolithic website to a fully fledged microservice architecture, highlighting the motivations, design decisions, common pitfalls, and essential components such as monitoring, tracing, logging, gateways, service discovery, circuit breaking, testing strategies, and service mesh adoption.
This article summarizes NetEase Hangzhou Research Institute expert Fan Xinxin's presentation on HBase, covering its role in the big‑data ecosystem, core production scenarios, RIT and HBCK troubleshooting techniques, and systematic monitoring and log‑analysis methods for diagnosing HBase issues.
This tutorial walks you through using Spring Boot Actuator to monitor microservice applications, covering quick setup, essential endpoints such as health, metrics, loggers, and shutdown, customizing health indicators, dynamically changing log levels at runtime, and securing actuator endpoints with Spring Security.
This article details a practical experiment that reproduces the load of 100 billion WeChat red‑packet (shake‑and‑grab) requests by simulating 1 million concurrent users on a single machine, achieving peak QPS of 60 k and demonstrating the architectural choices, hardware setup, and monitoring techniques required for such high‑throughput backend systems.
This comprehensive guide explains the benefits of microservices and walks through core building blocks such as RPC, service discovery, configuration management, task scheduling, distributed locking, unified monitoring, caching strategies, message queues, distributed transactions, CAP theory, seckill handling, Docker isolation, and modern CI/CD deployment pipelines.
This article provides a detailed, step‑by‑step guide for diagnosing and fixing performance problems in Java applications, covering code‑level pitfalls, CPU and memory analysis, disk and network I/O bottlenecks, and a collection of practical command‑line tools for rapid troubleshooting.
This article walks through using Spring Boot Actuator to monitor micro‑service applications, covering quick project setup, essential endpoints such as health, metrics, loggers and shutdown, custom health indicator implementation, dynamic log level changes, and securing actuator endpoints with Spring Security.
The document outlines the design, key components, data flow, and operational strategies of a large‑scale message push platform, detailing its architecture, request handling, long‑connection management, retry mechanisms, data statistics, monitoring, and future expansion plans.
This guide walks through deploying node‑exporter, Prometheus, and Grafana on a Kubernetes cluster with YAML manifests, configuring services, RBAC, and Grafana dashboards to monitor cluster metrics, and includes verification steps and code examples.
This article walks through the evolution of an online supermarket from a simple monolithic website to a fully split microservice system, highlighting the motivations, architectural changes, common pitfalls, and practical solutions such as monitoring, tracing, service discovery, circuit breaking, testing, and the eventual adoption of a service mesh.
This article explains the fundamentals of microservices architecture, detailing its definition, core principles such as small independent services and lightweight communication, the advantages and drawbacks, suitable organizational contexts, and the essential technical components like service discovery, gateways, configuration centers, monitoring, circuit breaking, and container orchestration.
This article explains how e‑commerce promotions differ from offline sales by offering lower participation thresholds and flexible discount tactics, outlines methods for estimating and handling traffic spikes, and provides detailed strategies for system capacity planning, load testing, monitoring, and incident response to ensure stable large‑scale promotional events.
This article provides a comprehensive overview of using Prometheus and Grafana for metric collection, storage, querying with PromQL, visualization, and alerting, including exporter integration, metric types, high‑availability setups, and practical examples for modern microservice architectures.
This article introduces the DBLE management console, explains its dual role in administration and monitoring, demonstrates how the reload command hot‑applies configuration changes, and provides guidance on using select/show commands for database inspection.
This guide explains how to monitor Alibaba Cloud RDS instances by deploying Prometheus and Grafana, using the official mysqld_exporter, a custom aliyun-exporter, rebuilding Docker images, configuring supervisor and Prometheus service discovery, and automating the entire workflow while noting limitations.
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.
