This guide explains how Zabbix 4.4+ lets you use custom JavaScript in webhook media types to send alert notifications, details the built‑in Zabbix objects, shows configuration steps, data validation, logging rules, and provides a complete DingTalk webhook script with testing instructions.
Netflix’s in‑house Telltale system consolidates diverse monitoring data, reduces alert noise, provides multidimensional health assessments, and delivers intelligent, context‑rich notifications, enabling engineers to quickly diagnose and resolve issues across more than 100 production services.
The article details Netflix’s internally built Telltale monitoring platform, explaining its motivation, key features such as multi‑dimensional health assessment, smart alerting, event management, deployment monitoring, and continuous optimization, and how it improves operational efficiency for over a hundred production services.
Spring Boot Actuator provides extensive monitoring and management features via HTTP and JMX; this guide shows how to enable it, lists each endpoint such as /auditevents, /beans, /caches, /conditions, /env, /health, and demonstrates configuration, custom endpoints, and code examples for full utilization.
This comprehensive guide walks you through Prometheus' origins, core features, installation methods, configuration files, PromQL basics, exporter setup, Grafana integration, alerting with Alertmanager, and advanced topics like service discovery, providing a complete roadmap for building a production‑grade monitoring system.
This guide walks through setting up Prometheus and Grafana to monitor a Spring Boot 2.3.11 application, covering environment preparation, Maven dependencies, Spring configuration, custom metrics, Prometheus server setup, and visualizing data in Grafana.
Grafana 8.0 introduces a major overhaul of its alerting system, new visualizations such as state timeline, history and histogram panels, reusable library panels, fine‑grained access control, real‑time streaming, enhanced Loki log navigation, and expanded tracing support, all aimed at faster, more flexible observability.
This article shares Haro's practical experience in designing and operating a distributed message governance platform that unifies RocketMQ, Kafka, and other middleware, covering metrics, monitoring, alerting, scenario‑based controls, and high‑availability strategies to keep microservices reliable under sudden traffic spikes.
This article explores the fundamentals of IT monitoring, examines common challenges such as scalability, reliability, and alert fatigue, compares four implementation approaches—from open‑source to fully custom solutions—and presents practical techniques like alert convergence, suppression, and automation to build a robust, adaptable monitoring platform.
This article presents seven practical Bash scripts that help Linux administrators quickly gather system status, back up MySQL databases, monitor services, scan network hosts, manage user passwords, and verify MySQL replication, each accompanied by clear code examples and usage instructions.
The article recounts a weekend on‑call incident where a Java monitoring service suffered network packet loss and a severe memory leak, leading to massive timeouts, high CPU usage, and frequent GC, and explains how the problem was diagnosed and resolved using tools such as top, jstat, jstack, jmap, and MAT.
The article details the design, architecture, and operational challenges of the Beidou frontend monitoring platform at 58 Group, covering SDK management, behavior trace logging, front‑back link integration, performance optimizations, minute‑level alerting, and permission management.
This article explores the fundamental concepts of system architecture, scaling challenges, multi‑level caching, service decomposition, and monitoring techniques in massive web platforms, using Weibo’s evolution from LAMP to service‑oriented architecture as a detailed example.
This guide explains how to configure comprehensive JVM garbage-collection logging—including basic GC details, object age distribution, heap snapshots, pause times, safepoint statistics, and reference processing—while using timestamped filenames and JVM log rotation to avoid overwriting and manage file size effectively.
This article explains how to monitor MySQL full-text indexes by describing relevant InnoDB parameters, the metadata tables that expose index activity, and step‑by‑step examples that create a sample table, configure monitoring, observe cache behavior, and manage index maintenance operations.
Lin Ying, a senior test manager at Guoxin Securities, shares insights from his GOPS 2021 talk on the securities industry's digital transformation, current IT challenges, and a comprehensive red‑blue exercise strategy that combines full‑link load testing, automated workflows, and proactive monitoring to ensure system stability during market peaks.
This article details a four‑stage migration project that rebuilt international services on a cloud‑native stack, introducing temporary Istio monitoring, standardized change processes, Helm‑based deployments, and full microservice integration while sharing practical quality‑assurance lessons and pitfalls.
This article explains the architecture of a complete event‑tracking system, introduces two kinds of front‑end events, and details the technical design and implementation of the monitor‑tracer SDK for page visibility/active time as well as the monitor SDK for custom trigger events, including lifecycle monitoring, DOM observation, decorators, and React hooks.
The article analyzes WeChat's success by detailing its three‑pronged strategy of precise product timing, agile project management, and robust technical support, and explains how the team applies agile attitudes, modular design, extensible protocols, disaster‑recovery mechanisms, and fine‑grained monitoring to operate a massive, highly available system.
This article presents JD Daojia's practice of containerizing MySQL, detailing the underlying resource platform, custom container scheduling algorithm, high‑availability design, monitoring system, and an automated operations platform that together improve performance, cut costs, and boost operational efficiency.
This article analyzes the stability challenges of a multi‑store chain’s product‑copy mechanism, outlines design goals for isolation and scalability, and presents short‑ and long‑term monitoring, flow‑control, and emergency‑response strategies to ensure reliable large‑scale operations.
This tutorial explains how to use Zabbix Agent 2 to monitor MongoDB databases and clusters, covering the required read‑only user setup, relevant Zabbix templates, key metrics such as jumbo chunks, connection pool stats, server status, collection and replSet information, and practical configuration examples.
The presentation details NetEase's big data platform operations, covering current usage, the internally built EasyOps control system, a generic service‑operation framework based on Ansible, Prometheus‑Grafana monitoring, configuration management, network and storage optimizations, and lessons learned from cloud migration.
This article details Ximalaya's evolution of its HTTP gateway—from a Tomcat NIO prototype to a fully asynchronous Netty design—covering architectural diagrams, performance bottlenecks, traffic management features, monitoring, GC tuning, and future plans for HTTP/2 and graceful degradation.
The JD Health Technical Product Team organized a comprehensive 618 promotion preparation in 2021, covering system architecture reviews, capacity assessments, performance stress testing, offensive‑defensive drills, system optimization, 24‑hour monitoring, and product operation training to ensure high availability and stable service during the large‑scale sales event.
This guide presents a detailed MySQL inspection checklist covering operating‑system metrics, critical MySQL parameters, status queries, replication health, high‑availability components, and useful SQL scripts, enabling DBAs to efficiently monitor performance, detect issues, and maintain reliable database services.
Gaode Ride‑Hailing created a comprehensive 360° observability platform—standardized logging, distributed tracing, multi‑domain metrics, visual dashboards, and an incident workflow—that transforms raw data into actionable insights, accelerates root‑cause analysis, and enables automated fault defense for its large‑scale cloud‑native microservice system.
This article outlines the challenges of operating petabyte‑scale big‑data clusters and presents a comprehensive monitoring framework—including basic and upgraded monitoring layers, metric collection, alerting pipelines, and strategies for alarm convergence and grading—to ensure reliable, proactive SRE operations.
A sysadmin narrates how he monitors four Redis nodes, detects master failure with PING, promotes a slave using SLAVEOF, reconfigures the remaining replicas, and ultimately automates the entire process with a custom Sentinel program and a multi‑node Sentinel cluster for high availability.
This article details Liulishuo's customized Prometheus monitoring architecture, including data backup to Aliyun SLS, ECS service discovery, advanced alerting with PagerDuty and Goalert, GitOps-driven config management, cloud resource exporters, SLA monitoring, and future plans for storage and alert pipelines.
This article provides a comprehensive overview of microservices, explaining their definition, core characteristics, advantages and drawbacks, suitable organizational contexts, and the essential technical components such as service discovery, API gateways, configuration centers, communication protocols, monitoring, circuit breaking, and container orchestration platforms.
The article provides a comprehensive English overview of SkyWalking UI, detailing its dashboard metrics, topology visualization, trace analysis, performance profiling workflow, and alarm management, illustrating how the tool monitors microservice and cloud‑native environments with metrics such as throughput, latency, Apdex, and JVM statistics.
This guide explains why monitoring is essential throughout a product lifecycle, outlines monitoring modes and methods, compares health checks, logs, tracing and metric solutions, and provides a detailed Prometheus‑based monitoring architecture with concrete metric definitions, alerting rules, and incident‑response procedures.
This article describes how a Chinese securities firm applied big‑data‑driven clustering and Bayesian methods to automate root‑cause analysis of trading‑system anomalies, detailing the challenges, algorithmic designs, practical implementations, and evaluation results that demonstrate significant reductions in false alarms and faster recovery.
This article introduces ten popular open‑source projects for monitoring, deployment, and reliability engineering, detailing each tool's purpose, key features, and how they help Site Reliability Engineers build scalable, highly reliable cloud‑native systems.
To prevent page failures and white‑screen errors, the team built a front‑end SDK that fetches fallback data from OSS + CDN, offers configurable black/white‑list rules, lightweight validation, and a visual backend, cutting error rates from over 8% to 0.55% and dramatically improving interface stability.
This article explains high availability fundamentals, defines availability, outlines design targets, presents common metrics such as MTBF, MTTR, MTTF, SA, RPO, RTO, discusses CAP theory, essential design elements, and answers practical Q&A on cost, architecture, fault tolerance, testing, and implementation guidance.
This article explains the fundamental differences between traditional and cloud‑native monitoring systems, outlines the challenges each faces, and details JD.com's evolution from physical servers to JDOS 2.0, describing its modular architecture, deployment model, and ongoing optimization efforts.
Facing rising traffic, JD Daojia’s in‑house load‑testing platform was redesigned to automate script management, enable distributed JMeter execution, integrate real‑time monitoring, and support custom RPC protocols, dramatically lowering manual effort, cutting test cycles from an hour to fifteen minutes while ensuring system stability.
An operations engineer narrates how he monitors a four‑node Redis cluster, detects master failure with continuous PINGs, promotes a slave to master, reconfigures replicas, and automates the entire process with a sentinel program and a sentinel cluster for high availability.
This article examines the business context and collection workflow of a BOS‑integrated service, dissects the distributed lock logic and its execution sequence, and conducts a thorough structured code review that reveals logical, exception, non‑functional, and testability issues while offering concrete improvement recommendations.
This article outlines essential Kubernetes best‑practice guidelines for production environments, covering health probes, resource allocation, RBAC, cluster configuration, networking policies, monitoring, logging, stateless design, autoscaling, runtime security, and strategies for zero‑downtime and failure recovery.
This article surveys the most popular open‑source projects for Site Reliability Engineering and DevOps, covering monitoring, deployment, chaos testing, and observability tools such as Cloudprober, Istio, Prometheus, Litmus, and more, highlighting their key features and how they help build scalable, high‑reliability cloud‑native systems.
This article provides a complete tutorial on Prometheus, covering its origins, core features, installation methods (binary and Docker), configuration file structure, PromQL basics, HTTP API usage, Grafana integration, various exporters for metrics collection, and alerting with Alertmanager, all within a cloud‑native monitoring context.
This article introduces essential Linux monitoring utilities—including top, vmstat, pidstat, iostat, netstat, sar, and tcpdump—explaining their output fields, typical usage scenarios, and how to interpret CPU, memory, disk, and network performance metrics for effective system troubleshooting and optimization.
ByteDance’s cloud‑native migration of stateful services uses a custom SolarService extending StatefulSet with Budset CRD to handle versioned data, shard‑aware routing, NUMA‑aware scheduling, advanced storage, eBPF monitoring, and automated PDB eviction, delivering efficiency, cost savings, and reliable rolling upgrades.
This article explains how Alibaba's KubeProbe system combines black‑box probing and directed inspections to detect issues in massive ASI Kubernetes clusters before users notice them, detailing the architecture, implementation, integration with release pipelines, and real‑world results that improve reliability and operational efficiency.
This article details ByteDance's journey of migrating stateful services to a cloud‑native Kubernetes platform, covering challenges in state management, infrastructure enhancements, storage solutions, monitoring, and automated operations that together improve efficiency and reduce costs at massive scale.
This comprehensive tutorial walks you through installing MongoDB on Windows, configuring data and log directories, setting environment variables, creating and managing databases, collections, indexes, aggregation pipelines, backup and restore procedures, monitoring tools, advanced query operators, user management, and using a visual tool like Navicat for MongoDB.
System health checks, akin to medical exams, are vital for modern IT infrastructure, using active and passive monitoring, failover strategies, and tools like Spring Boot Actuator to detect hardware, network, load, or software issues, prevent single points of failure, and ensure continuous high‑availability service operation.
This article details Dada Group’s implementation of an intelligent elastic scaling architecture that automatically adjusts capacity during peak promotions and low‑traffic periods, improving delivery reliability, reducing costs, and supporting multi‑cloud and multi‑runtime environments through sophisticated monitoring and auto‑scaler mechanisms.
This article provides a comprehensive step‑by‑step tutorial on designing, implementing, and deploying a simple Java Spring Boot microservice system on Kubernetes, covering architecture design, registration center, monitoring with Prometheus and Grafana, logging, tracing, flow control, and verification using tools such as Zipkin and Sentinel.
This article reviews five popular open‑source monitoring solutions—Cacti, Nagios, Zabbix, Prometheus, and Grafana—highlighting their core architectures, key features, strengths, and limitations to help IT professionals select the most suitable tool for their environment.
This guide walks through installing Prometheus, building a custom Docker image, configuring service discovery, adding node, cadvisor, Redis, JMX and process exporters, setting up Alertmanager with WeChat alerts, creating PromQL rules, and visualizing metrics in Grafana for a production‑grade monitoring solution.
Learn step‑by‑step how to install Midway’s Prometheus plugin, configure Docker‑based Prometheus and Grafana, expose metrics from a Node.js app, and visualize them in Grafana dashboards, enabling effective monitoring and operations for your services.
The article outlines the six essential DevOps capabilities—collaboration, automation, continuous integration, continuous testing, continuous delivery, and continuous monitoring—explaining how each contributes to improving efficiency, reducing errors, and ensuring reliable software delivery in modern IT environments.
This article introduces Prometheus as an open‑source monitoring system and time‑series database, explains its core components such as Server, Exporter, PushGateway and Service Discovery, and provides step‑by‑step Docker deployment instructions together with Grafana integration for visualizing metrics.
This article walks readers through the complete lifecycle of designing, implementing, deploying, and validating a simple Java Spring‑Boot microservice system on Kubernetes, covering service design, registration, monitoring, tracing, traffic control, high‑availability deployment, and practical verification steps.
This article provides a comprehensive overview of Java thread pools, covering their advantages, internal workflow, creation parameters, various execution states, shutdown procedures, performance tuning strategies, and key monitoring metrics, supplemented with practical code examples.
The article shares eight authentic production incident cases—from frequent JVM Full GC and memory leaks to cache avalanches, DNS hijacking, and database deadlocks—detailing their root causes, diagnostic steps, code snippets, and practical remediation strategies for engineers facing similar challenges.
The article recounts a sudden Redis performance crisis caused by massive KEYS * commands, explains how monitoring, INFO, COMMANDSTATS and SLOWLOG revealed the issue, and outlines temporary and long‑term remediation steps for preventing similar outages.
This article explains how Redis Sentinel provides high‑availability for Redis by continuously monitoring master and replica nodes, detecting failures through subjective and objective down states, electing a new master via quorum‑based voting, and notifying clients of the failover using Pub/Sub events.
The article explores the fundamental concepts of software architecture, illustrating how massive platforms like Weibo handle millions of users through layered design, service decomposition, multi‑level caching, distributed tracing, and capacity planning to achieve high scalability and reliability.
The article analyzes the instability of a company's Kubernetes clusters, identifies root causes such as unstable release processes, lack of monitoring, logging, and documentation, and proposes comprehensive solutions including a Kubernetes‑centric CI/CD pipeline, federated Prometheus monitoring, Elasticsearch logging, centralized documentation, and integrated traffic management with Kong and Istio.
The article describes how algorithm testing teams tackled data‑quality and interface‑semantic monitoring problems by building a unified business monitoring platform that checks table, storage and service consistency, validates response semantics, and, through dashboards, alerts and correction tools, quickly identified dozens of offline and online issues, guiding future reliability enhancements.
This article presents a curated list of popular open‑source tools for monitoring, deployment, chaos testing, and reliability engineering, explaining their main features and how they help SREs and DevOps engineers build scalable, highly available cloud‑native systems.
This article provides a step‑by‑step tutorial on designing a simple front‑back separation microservice system, implementing it with Java Spring Boot, and deploying the whole solution on a Kubernetes cluster with high‑availability features, monitoring, logging, tracing, and traffic control.
This guide walks through deploying Prometheus, its exporters, Alertmanager, and Grafana using Docker, configuring service discovery with Consul, writing PromQL alerts, and visualizing metrics, providing a complete end‑to‑end monitoring solution for cloud‑native environments.
This article details the design evolution, architectural choices, performance tuning, monitoring, and future plans of Ximalaya's high‑traffic HTTP gateway, covering its migration from Tomcat NIO to a fully asynchronous Netty implementation and the associated engineering challenges and solutions.
This article explains how to enrich a performance‑testing framework with an asynchronous progress bar that also reports real‑time QPS, detailing the design of a unified Progress class, its handling of different thread models, the QPS calculation logic, a sample Groovy test script, and the resulting console output.
This comprehensive guide explains MongoDB cluster components, common use cases, monitoring commands, basic operational tasks, data migration procedures, troubleshooting of production issues, and optimization recommendations to achieve high performance and scalability.
This article describes how Ximalaya’s high‑traffic HTTP gateway evolved from a Tomcat NIO + AsyncServlet design to a Netty‑based fully asynchronous architecture, detailing the challenges of blocking I/O, memory copying, GC pressure, and how layered redesign, lock‑free connection pools, comprehensive monitoring, and performance optimizations enabled stable handling of over 200 billion daily calls with peak QPS exceeding 40 k per machine.
To meet the LEDAO platform’s need for rapid anomaly detection, full‑stack observability, and reliable alerting across more than 100 microservices, iQIYI evaluated OpenFalcon, Prometheus and CAT, selected CAT, deployed separate mainland and overseas clusters, added configurable access, health‑check and integrated alert channels, enabling five‑minute service onboarding, near‑zero‑intrusion instrumentation, and real‑time business‑level monitoring.
This article presents practical best‑practice guidelines for configuring Elasticsearch in production, covering heap memory sizing, CPU considerations, shard and replica planning, hot‑warm node architecture, node role settings, common pitfalls, monitoring APIs, and troubleshooting tips.
This article explains how Zhuanzhuan’s service management platform implements comprehensive service governance—including registration, discovery, configuration, monitoring, authentication, rate limiting, and alerting—to support micro‑service architectures and improve reliability, scalability, and operational efficiency.
This article explores the fundamental concepts of system architecture, illustrating how large‑scale services like Weibo handle massive traffic through layered design, sharding, caching, service decomposition, monitoring, and operational practices to achieve high performance and reliability.
This article presents a comprehensive, step‑by‑step framework for guaranteeing system reliability during high‑traffic promotional periods, covering SRE hierarchy, stability criteria, profiling, monitoring, capacity planning, incident response, and post‑event analysis to help teams build resilient services.
This article provides a comprehensive tutorial on setting up Spring Boot application monitoring using Prometheus and Grafana, covering project creation, dependency configuration, security setup, Prometheus server installation, Grafana dashboard creation, email alerting configuration, and testing the end‑to‑end alert workflow.
The article explores the fundamental concepts of system architecture, illustrating how large‑scale services like Weibo handle massive traffic through layered design, abstraction, caching, service decomposition, monitoring, and operational practices to achieve scalability, reliability, and performance.
This article explores the fundamental principles of system architecture by analyzing Weibo’s evolution to a multi‑layer, high‑traffic platform, covering scalability, service decomposition, caching strategies, distributed tracing, and operational best practices for building robust backend systems.
This comprehensive guide explains the purpose, models, and methods of monitoring across the entire software lifecycle, compares health checks, logging, tracing, and metric collection, and details practical implementations using tools like ELK, SkyWalking, and Prometheus for cloud‑native operations.
This article explains the challenges of server‑push in HTTP, reviews WebSocket as the mainstream solution, and details the design, implementation, session management, monitoring, and performance testing of a Netty‑based distributed WebSocket long‑connection gateway used at iQIYI.
The article describes JD's end‑to‑end online learning pipeline for retail search, covering the background, system architecture, real‑time feature collection, sample stitching, Flink‑based incremental training, parameter updates, and full‑link monitoring to achieve low‑latency, high‑accuracy model serving.
Obsuite, DiDi’s open‑source observability suite, tackles hybrid‑cloud monitoring challenges by combining metrics, logs, and traces, while the article analyzes market trends, private‑cloud demand, and the product’s architecture, open‑source components, and the OCE certification program for enterprise users.
This article presents a comprehensive guide to Redis monitoring and alerting, covering metric classification, threshold settings, client traffic collection, host resource usage, instance health checks, cluster failover diagnostics, and detailed explanations of Redis INFO sections with practical code examples.
This guide walks through the essential layers of a backend technology stack for startups, covering language choices, core components like DNS, load balancing, CDN, RPC frameworks, databases, messaging, logging, monitoring, configuration, deployment, and operational best‑practice processes.
This article details the design evolution, architectural redesign, and performance‑tuning techniques of Ximalaya's gateway—from an initial Tomcat NIO implementation to a fully asynchronous Netty‑based solution—covering traffic management, timeout handling, monitoring, and future HTTP/2 migration.
This tutorial explains how to add Actuator and Prometheus dependencies to a Spring Boot application, configure security, expose metrics endpoints, run Prometheus and Grafana via Docker, and set up Grafana dashboards for real‑time monitoring of Spring Boot services.
This article provides a step‑by‑step tutorial on installing Prometheus, configuring its components, deploying it in a Kubernetes cluster with proper RBAC and persistent storage, and extending monitoring to applications and exporters using /metrics endpoints.
This tutorial explains how to add Actuator and Prometheus dependencies to a Spring Boot application, configure security, run the app to expose Prometheus‑format metrics, and then set up Docker‑based Prometheus and Grafana containers to collect and visualize those metrics.
This article reveals the three‑in‑one strategy, agile mindset, modular design, extensibility, gray‑release process, and monitoring techniques that enable WeChat to handle billions of users with high availability and rapid feature delivery.
A seemingly harmless code change that returned null triggered a massive production outage, costing millions, and the author recounts the incident, the emergency rollback, root‑cause analysis, and the broader lessons about code review, testing, monitoring, and disciplined release practices.
This article provides an extensive overview of the most popular Docker‑related tools—including orchestration, CI/CD, monitoring, logging, security, storage, networking, service discovery, image building, and management solutions—detailing their core features, official websites, pricing models, and typical use cases for developers and operations engineers.
This guide demonstrates how to navigate to the RocketMQ bin directory and use various mqadmin CLI commands to list available commands, check help, monitor producer and consumer connections, query topic status, retrieve messages by offset or ID, and shut down the NameServer and brokers.
This guide explains three ways to monitor Ceph distributed storage using Zabbix—Agent2 with the RESTful module, Zabbix Sender, and custom scripts—providing step‑by‑step commands, configuration tips, and troubleshooting notes for reliable operations.
This article explains how to monitor both Linux servers and Java business applications by selecting lightweight tools like Netdata, implementing request‑time logging with Spring AOP, and integrating Javamelody, while providing configuration snippets and code examples for a comprehensive monitoring solution.
This article explains how internet companies can reduce soaring manual operations costs by applying intelligent monitoring techniques—such as pattern recognition and statistical anomaly detection—to automatically identify abnormal nodes among thousands of servers, streamline fault diagnosis, and improve service quality.
This article outlines comprehensive production‑grade Kubernetes best practices—including health probes, RBAC, resource management, network policies, monitoring, autoscaling, image security, and zero‑downtime strategies—to help teams run secure, efficient, and highly available workloads.
This guide introduces Prometheus, explains its advantages over traditional monitoring tools, walks through installation, configuration, and Docker deployment, and demonstrates practical monitoring of Docker containers, Linux hosts, and visualization with Grafana, providing complete code snippets and screenshots.
This guide shows how to set up a complete Redis monitoring stack by launching two Redis instances, a redis‑exporter collector, and Grafana‑Prometheus visualisation all via Docker, covering container creation, IP discovery, configuration files, datasource setup and dashboard creation.
