An in‑depth comparison of Prometheus and Zabbix examines their histories, architectures, data storage, scalability, and container support, highlighting Prometheus’s cloud‑native pull model and Go‑based performance versus Zabbix’s mature, relational‑database approach, to help teams choose the right monitoring solution.
This article explains the internal storage layout, on‑disk and in‑memory data structures, and the query execution flow of Prometheus V2, illustrating how blocks, chunks, WAL, indexes and postings are organized and accessed to serve time‑series queries efficiently.
HoloInsight is an open‑source, cloud‑native observability platform derived from Ant Group's AntMonitor, offering integrated log‑based monitoring, business metric analysis, and AI‑driven AIOps capabilities while providing a lightweight, modular architecture and extensive extensibility for modern software stacks.
This article details a comprehensive investigation of a Java backend service suffering from severe OutOfMemoryError due to an unbounded userId list in a count query, describing monitoring findings, heap dump analysis, and practical mitigation steps including request limiting and JVM tuning.
This article explains the architecture of Prometheus V2, detailing its on‑disk block layout, chunk and index formats, the inverted index mechanism, and how queries locate and retrieve time‑series data, while also covering in‑memory structures and practical usage patterns.
The team implemented SLA‑based, node‑level monitoring for mobile push messages—splitting the workflow, measuring latency, blocking volume, and success rates, isolating metrics with Spring AOP, and tracking third‑party vendors—resulting in clear latency standards, doubled peak throughput, faster issue resolution, and improved overall reliability.
Ctrip evaluated and extended OceanBase Migration Assessment tools, built a one‑click migration workflow, implemented comprehensive monitoring and automatic fault‑diagnosis pipelines, and addressed compatibility challenges such as .NET charset issues and Druid parser errors, ultimately achieving a smooth MySQL‑to‑OceanBase transition.
This article explains the principles behind Prometheus alerts, when they trigger, why they sometimes stay silent, and how Alertmanager’s routing tree and notification pipeline work together to manage alert noise, grouping, silencing, and deduplication.
The article examines logging’s critical role in distributed systems, detailing its purpose, severity levels, and value for debugging, performance, security, and auditing, while highlighting challenges of inconsistent formats and traceability, and reviewing observability pillars, ELK and tracing tools, and practical implementation best practices.
This article provides a detailed comparison of nine popular log management tools—including Filebeat, Graylog, LogDNA, ELK, Grafana Loki, Datadog, Logstash, Fluentd, and Splunk—covering their main features, pricing, advantages, and disadvantages to guide readers in selecting the most suitable solution for their needs.
Since launching a systematic stability‑governance program in August 2022, Xianyu’s messaging system has employed gray releases, dedicated monitoring, daily automated regression, dependency reviews and drills, resulting in near‑zero online incidents within six months and demonstrating that continuous, context‑specific measures and vigilant change management are essential for reliable C2C transactions.
This article introduces Uptime Kuma, an open‑source monitoring tool, and provides step‑by‑step instructions for installing it via Docker or manually, configuring monitors, and using its dashboard, highlighting its simplicity, visual appeal, and support for multiple services and notification methods.
This article explains why Kubernetes pods encounter out‑of‑memory errors and CPU throttling, how limits and requests influence resource allocation, and provides practical monitoring techniques using Prometheus and cAdvisor to proactively identify and mitigate these issues before they impact performance or cause pod eviction.
This article explains how to combine Spring Boot with Micrometer, Prometheus, and Grafana for metrics collection and visualization, and provides Maven dependencies, configuration snippets, and Docker commands to deploy a fully monitored backend service using Docker containers.
This article benchmarks Alibaba Cloud Prometheus against the open‑source Prometheus across multiple cluster sizes, churn rates, and query patterns, revealing that while the open‑source version remains stable under light load, its CPU and memory usage grow non‑linearly with high cardinality, whereas Alibaba's managed service delivers higher compatibility, better query performance, and more predictable scaling.
This article provides a comprehensive comparison of nine widely used log management tools, detailing their core features, pricing models, advantages, and drawbacks to help readers make informed decisions when selecting a logging solution for their infrastructure.
This article outlines Vivo's multi‑year journey of designing, evolving, and operating a cloud‑native, AIOps‑enabled monitoring platform that supports tens of thousands of hosts, databases, containers, and services, detailing its architecture, challenges, and future directions for observability and reliability.
This collection presents a range of front‑end development insights, including ByteDance’s monitoring practices, low‑code product considerations, DeepKit’s TypeScript runtime capabilities, emerging 2023 trends, web development forecasts, the need for diverse JavaScript frameworks, markdown‑to‑PPT tools, and Vue 3 table performance optimizations.
This article explains how eBPF technology provides a unified, zero‑intrusion monitoring solution for Serverless applications across any language, detailing its architecture, workflow, and the advantages it brings to cloud‑native operations such as low cost, high performance, and multi‑protocol support.
This article explains the fundamentals of distributed tracing, introduces the Dapper and OpenTracing models, and details SkyWalking's data collection, cross‑process propagation, bytecode enhancement, architecture components, monitoring, alerting, and performance characteristics for microservice environments.
The article outlines a comprehensive stability‑assurance framework for large‑scale promotional events—detailing planning, capacity and pressure‑test rehearsals, strict change‑freeze, internal gray releases, coordinated on‑call response, thorough link and capacity analysis, monitoring, emergency procedures, cross‑team collaboration, external partner coordination, and post‑event review to ensure resilient system performance.
This guide explains essential Redis monitoring metrics, the tools and commands for collecting performance, memory, activity, persistence, and error data, and shows how to use INFO, slowlog, and redis-benchmark to assess and improve database operations.
This article explains how to use Java bytecode instrumentation with ASM and a JavaAgent to automatically monitor, capture, and report exceptions across a backend system, covering exception fundamentals, best‑practice handling, and practical implementation steps.
DynamicTp is a Java library that extends ThreadPoolExecutor to enable dynamic, configuration‑center‑driven adjustment of thread‑pool parameters, real‑time monitoring, alert notifications, and metric collection, providing a lightweight, zero‑intrusion solution for microservice architectures.
This article provides a detailed overview of the essential backend technology stack for startups, covering language choices, components, processes, systems, and cloud services, and offers practical recommendations for selecting databases, messaging, monitoring, CI/CD, and deployment tools to build a robust, scalable infrastructure.
This case study details NetEase Cloud Music's full‑link baseline governance initiative, outlining the challenges of massive data pipelines, the metrics used to measure success, the three‑pronged action plan (infrastructure, task optimization, and standards), and the resulting improvements in availability, resource utilization, and monitoring accuracy.
The article reviews traditional availability metrics such as Success‑Ratio, Error‑Budget, MTTR/MTTF, SLA/SLO, and highlights their limitations, then introduces Google’s User‑Uptime and Windowed User‑Uptime metrics, explains their definitions, challenges, experimental results, and why they provide a more user‑centric view of service reliability.
This article details China Mobile Information's interview about their centralized AIOps platform, the recent excellent‑level assessment by the China Academy of Information and Communications Technology, the system's key modules, future plans, and the broader significance of AI‑driven IT operations.
This article shares practical insights on constructing an O2O industry data platform, detailing user classification, business pain points, and a three‑step strategy—monitoring, analysis, and diagnosis—to extract core metrics, implement tailored reporting, conduct operational and pricing analyses, and drive data‑driven product improvements.
This article provides a detailed comparison of nine popular log management solutions—including Filebeat, Graylog, LogDNA, the ELK stack, Grafana Loki, Datadog, Logstash, Fluentd, and Splunk—covering their main features, pricing models, advantages, and disadvantages to help readers choose the right tool for their needs.
This guide explains why the Alertmanager configuration file in a TiDB cluster is repeatedly overwritten during reloads, analyzes error logs and TiUP documentation, and provides step‑by‑step instructions to edit the topology, set a custom config file, reload the service, and verify the fix.
This article explains how to maintain a DevOps environment by implementing comprehensive monitoring, handling fault detection and performance metrics, automating alerts in a continuously changing cloud landscape, and integrating NOC and MSP practices for 24/7 reliability and efficient incident response.
This article explains how to use MySQL's native SHOW commands and performance_schema tables to collect comprehensive monitoring metrics—including connections, buffer cache, locks, SQL activity, throughput, and slow queries—while minimizing overhead in a single‑node environment.
This article describes Bilibili’s data quality platform, outlining its background, objectives, theoretical models, workflow stages (recording, checking, alerting), DSL for metrics, root‑cause analysis, scheduling strategies, heterogeneous source integration, rule coverage, intelligent monitoring, and future plans to achieve automated, real‑time, high‑reliability data assurance for massive daily workloads.
This article explains what stability assurance is, outlines a systematic workflow—including anomaly identification, monitoring configuration, impact assessment, and solution planning—and provides practical methods such as capacity estimation, traffic limiting, load testing, scaling, and pre‑heating to ensure services remain stable during both daily operations and high‑traffic events.
This article explains how Python can automate common operations tasks—remote command execution, log parsing, system monitoring with alerts, bulk software deployment, and backup/restore—providing code examples for each and highlighting additional tools that help sysadmins improve efficiency and reduce errors.
Loggie is a cloud-native, Go-based log-collection agent that replaces Filebeat and Flume by using a micro-kernel producer-consumer architecture with hot-swappable pipelines, achieving 2 GB/s read speeds, 1.6‑2.6× higher throughput while using only a quarter of the CPU, and providing built-in observability, reliability, and latency monitoring for large-scale enterprise deployments.
This article provides a comprehensive comparison between Zabbix and Prometheus, covering their architecture, data collection, storage, querying, visualization, and alerting capabilities to help enterprises choose the most suitable monitoring solution for their needs.
This article systematically presents the business background, basic monitoring workflow, usage guidelines, OpenTSDB fundamentals, code precision issues, vmonitor collector architecture, old and new system designs, core alerting metrics, demo illustrations, and a comparison with mainstream monitoring solutions, offering insights for technology selection.
This guide explains why MySQL monitoring is critical, defines five key metric dimensions, shows how to collect them with Prometheus and the MySQL Exporter, provides ready‑to‑use alert rules, and walks through the full setup and dashboard creation on Alibaba Cloud.
The article describes a root‑cause localization algorithm implemented in vivo’s monitoring platform that automatically analyzes latency spikes by splitting service timelines, computing variance, clustering results with K‑means, and recursively tracing downstream services, achieving over 85 % accuracy for dependency failures while still requiring human verification and outlining future AI‑driven enhancements.
This article defines enterprise‑grade SaaS, contrasts it with consumer products, and presents a comprehensive framework for product, data, and system stability—including isolation requirements, SLA metrics, risk modeling, mitigation plans, and continuous review—to help SaaS teams deliver dependable services.
The article details the evolution, architecture, capabilities, challenges, and future plans of Vivo's comprehensive monitoring platform, covering its transition from simple Zabbix setups to a cloud‑native, AI‑ops enabled system that ensures service availability across massive infrastructure.
The article outlines vivo’s evolution from simple Zabbix monitoring to a self‑built, unified monitoring platform that now covers infrastructure, containers, databases and user experience at massive scale, integrating AI‑ops, cloud‑native observability and unified alerting to ensure end‑to‑end service reliability and future intelligent, one‑stop monitoring.
This article provides a thorough overview of backend development, covering system design principles such as high cohesion and low coupling, architectural patterns for high concurrency and availability, network communication techniques, common fault scenarios, monitoring and alerting strategies, service governance practices, and deployment workflows.
This article explains how enterprises can design and implement a comprehensive observability platform—covering metrics, logs, tracing, fault response, post‑mortems, testing, capacity planning, and automation—to improve system reliability and user experience.
It introduces a series of front‑end engineering articles covering comprehensive monitoring architecture, CSS‑based click throttling, drag‑and‑drop implementation, 30 essential JavaScript concepts, and a simple responsive data‑dashboard solution, aiming to deepen developers’ skills and showcase resume‑worthy expertise.
This article presents a comprehensive guide to building a front‑end monitoring system—including pain points, error‑reconstruction techniques, data collection methods, performance metrics, user‑behavior tracking, and a modular SDK architecture—illustrated with detailed code examples for Vue, React, XHR, fetch, and cross‑origin handling.
This article systematically explores high‑availability system design from development standards, capacity planning, application services, storage, product strategies, operations deployment, to incident response, presenting key concepts, architectural patterns, and practical guidelines for building resilient services.
Facing hundreds of terabytes of daily monitoring data, Huawei Cloud SRE replaced HBase with the open‑source time‑series database openGemini, conducting extensive write and query performance tests that demonstrated linear scaling, superior query speed, and significant reductions in storage, CPU, and memory usage.
This article details Tencent CDN's challenges and solutions for business continuity, covering bandwidth and device resource constraints, massive request handling, fault‑management lifecycle, automation bottlenecks, and the implementation of AIOps, intelligent alerts, capacity planning, and root‑cause analysis to ensure reliable service.
This article explains how to design effective Prometheus metrics, choose appropriate vectors, labels, buckets, and naming conventions, and offers Grafana usage tricks to help engineers monitor online services, batch jobs, and offline processing systems with clear, actionable insights.
This guide explains Linux performance fundamentals—including throughput, latency, average load, CPU context switching, memory management, swap behavior, and the essential monitoring tools such as vmstat, pidstat, perf, and strace—while providing concrete command examples and troubleshooting steps.
This guide introduces the open‑source nginx‑gui tool, explains its configuration and performance‑monitoring features, and provides step‑by‑step instructions for downloading, setting up, and running the GUI on Linux, including code snippets and screenshots.
This article explains how to replace Zabbix with Prometheus for MySQL monitoring by configuring mysqld_exporter to collect metrics from multiple MySQL instances, details the required user accounts, shows common errors, and provides step‑by‑step solutions including building a newer exporter, adjusting configuration files, and using auth_module for password management.
This article explains how to collect extensive MySQL performance metrics—including connections, buffer cache, locks, SQL status, statement counts, throughput, server configuration, and slow‑query logs—using only MySQL's native SHOW commands and the performance_schema, providing practical code snippets and optimization tips.
After rebuilding its transaction system in 2020, 得物 progressed from the basic CAT monitoring tool to OpenTracing with Prometheus, and finally adopted OpenTelemetry to unify metrics, traces, and logs via a custom vmagent‑Kafka‑Flink pipeline, dynamic sampling, and extensible javaagents, positioning the platform for a performance‑analysis‑driven future.
This article details Qunar's migration from a Prometheus‑based monitoring stack to VictoriaMetrics, describing the limitations they faced, the architectural redesign using vmagent, vmcluster, and vmalert, and the resulting performance improvements and operational benefits for large‑scale Kubernetes environments.
The paper presents the design and deployment of a hundred‑billion‑scale real‑time monitoring platform that meets stringent data‑collection, analysis, storage, alerting and visualization requirements, compares Oceanus + Elastic Stack against a Zabbix‑Prometheus‑Grafana stack, selects the former, and details performance‑and cost‑optimizations that enable massive, low‑latency monitoring while maintaining high availability.
This article provides a comprehensive overview of Zabbix, an open‑source, web‑based monitoring solution, detailing its architecture, key features, monitoring principles, core components, default ports, and step‑by‑step instructions for deploying both the server and agent on Linux systems.
This guide shares practical operations best practices, covering safe online procedures, data protection, security hardening, daily monitoring, performance tuning, and the right mindset to avoid costly mistakes and keep production environments stable and secure.
This article explains how RocketMQ's message lifecycle can be fully observed using OpenTelemetry‑based metrics, covering producer, broker, and consumer stages, and shows practical monitoring, alerting, and troubleshooting practices for cloud‑native deployments.
This article explains how to use the Prometheus HTTP API to query instant and range metrics, interpret the JSON responses, and fetch data programmatically with Python, providing code examples and details on request parameters, error handling, and practical usage.
Facing stricter security, accuracy, and latency demands, 360 DataTech rebuilt its real‑time data warehouse by selecting Apache Doris for its high‑performance writes, SQL compatibility, low operational complexity, and active community, then detailed the architecture, ingestion, query acceleration, monitoring, troubleshooting, and future plans.
This article outlines the background and terminology of data warehousing, presents a formula for evaluating warehouse value, and details the team's half‑year efforts—including architecture selection, quality assurance, stability governance, and data‑value externalization—to improve efficiency, quality, stability, and cost in real‑time data services.
This article introduces DynamicTp, a Java library that extends ThreadPoolExecutor with runtime parameter adjustment, real‑time monitoring, alerting, and integration with configuration centers, offering a lightweight, zero‑intrusion solution for managing thread pools in microservice environments.
The 2022 Vivo developer conference showcased a series of technical breakthroughs—including a custom wepy‑chameleon compiler for frontend upgrades, low‑code platforms for backend and game development, a real‑time computing platform built on Flink, advanced graph scheduling, cloud‑native container strategies, monitoring enhancements, database automation, and large‑scale messaging middleware—highlighting Vivo's comprehensive push toward efficiency and innovation across its internet services.
This comprehensive guide explains Linux performance optimization by defining key metrics such as throughput and latency, interpreting average load, analyzing CPU context switches, memory management, and I/O behavior, and recommending practical tools and techniques—including vmstat, pidstat, perf, and dstat—to identify and resolve bottlenecks.
The article reviews classic availability metrics such as Success‑Ratio, Incident‑Ratio, MTTR/MTTF, Error‑Budget, and SLA/SLO, then introduces User‑Uptime—a per‑user success time proportion that ignores long idle periods—and its windowed variant, showing how it complements existing indicators for more user‑centric reliability insight.
This article shares practical operations guidelines covering safe command usage, backup strategies, security hardening, daily monitoring, performance tuning, and the right mindset to prevent data loss and ensure stable, secure Linux server management.
This article provides a step‑by‑step guide to quickly set up the latest Zabbix monitoring platform using Docker, covering Docker installation, MySQL volume creation, deployment of Zabbix server, web UI, Java gateway, agents, and host configuration for comprehensive system monitoring.
This article explains how AlertManager processes Prometheus alerts through a pipeline of stages—including gossip settlement, inhibition, silencing, waiting, deduplication, retry, and notification—detailing each stage's purpose and providing Go code examples of their implementations.
This article provides a systematic overview of monitoring fundamentals, compares three popular open‑source monitoring solutions—Zabbix, Open‑Falcon, and Prometheus—and offers practical guidance for selecting the most suitable system based on scale, features, and operational needs.
This article explains why disk‑space alerts demand automated handling, introduces the concept of fault self‑healing, outlines required process standards, describes monitoring platform dimensions, details a multi‑source self‑healing platform architecture, and offers practical steps for integration, notification, and continuous improvement.
This guide details key Redis monitoring metrics—including performance, memory, activity, persistence, and error indicators—along with practical commands, configuration settings, and code snippets to help operators efficiently track and troubleshoot Redis instances.
This article examines the evolution of a monitoring platform, identifies key challenges such as alarm overload and fragmented data, and presents a solution that combines Grafana with Diagram and FlowCharting plugins to create business‑process‑oriented, data‑driven visualizations for faster issue resolution.
This article provides a thorough overview of backend development, covering system development principles, architectural design patterns, network communication techniques, common faults and exceptions, monitoring and alerting strategies, service governance practices, and deployment workflows, all illustrated with clear explanations and practical examples.
This article provides a comprehensive overview of backend development, covering system development principles, architecture design patterns, network communication techniques, fault and exception handling, monitoring and alerting strategies, service governance, testing methodologies, and deployment practices to help developers build robust, scalable, and maintainable services.
This tutorial shows how the QQ Live frontend team integrated Tencent Cloud RUM and used Grafana to create a monitoring dashboard, covering data source setup, plugin installation, panel selection and configuration, advanced features like thresholds and variables, and in‑Grafana transformations for flexible frontend performance observability.
The article analyzes the Chengdu COVID‑19 testing system failure, outlining its architecture, estimating traffic, identifying infrastructure and software bottlenecks, and recommending sharding, message‑queue decoupling, comprehensive monitoring, and multi‑vendor coordination to build a more reliable backend platform.
This article compares standard service interfaces and standard messaging, explains their characteristics, and shows how to choose the appropriate approach for different scenarios such as content moderation, points systems, open platforms, monitoring, and task execution pipelines.
This article outlines ten indispensable cloud‑native tools—from Docker and Kubernetes to Serverless, Helm, Ansible, and Wireshark—explaining how each supports modern agile development, improves infrastructure stability, and accelerates digital transformation in post‑pandemic enterprises.
Bilibili built a scalable data‑quality platform that records metrics from heterogeneous sources, checks them with a rich DSL, alerts once with root‑cause analysis, and uses event‑driven and time‑window scheduling, automated workflows, and intelligent monitoring to ensure real‑time, accurate, trustworthy data for petabyte‑scale processing.
This guide explains what Kubernetes events are, how to list and filter them, categorizes common event types, and shows practical ways to collect, store, and alert on events using native commands and open‑source tools, helping teams reduce alert fatigue and improve cluster observability.
Learn how to use Prometheus's stable V1 API to query instant and range data, handle responses and errors, and fetch metrics programmatically with curl and Python, enabling data analysis, cost management, and advanced monitoring beyond basic alerts.
This article explains why Nginx logs are critical, compares various log‑analysis tools, provides detailed installation and configuration steps for GoAccess, discusses selection criteria, and shares real‑world case studies that demonstrate how to extract valuable system and business insights from massive access logs.
This article details Guangdong Mobile's end‑to‑end journey of designing, constructing, and operating a production‑grade container cloud platform, covering architecture decisions, monitoring, logging, high‑availability, scaling, network optimization, upgrade challenges, and lessons learned for cloud‑native practitioners.
This article provides an overview of five leading observability solutions—Datadog, Grafana, Instana, New Relic, and Prometheus—detailing their core features, supported data sources, deployment models, and how they help teams monitor cloud‑native applications, infrastructure, and services to ensure reliability and performance.
This article details the step‑by‑step evolution of a multi‑cloud network at Zuoyebang, covering three construction phases, quality‑improvement measures such as fault prevention and rapid recovery, and ongoing operational governance that together deliver a flexible, high‑availability cloud infrastructure.
This document outlines the background, objectives, scenarios, strategies, TPS estimations, metric definitions, step‑by‑step testing process, component selection, script examples, various execution modes (GUI, CLI, distributed, Docker), and the monitoring architecture built with JMeter, InfluxDB, Prometheus, and Grafana for a large‑scale long‑connection service.
This article systematically introduces monitoring fundamentals, explains the architecture and key metrics of typical monitoring objects, compares three popular open‑source monitoring solutions—Zabbix, Open‑Falcon, and Prometheus—and provides practical guidance for selecting the most suitable system.
This article introduces Application Performance Management (APM), explains the features of Apache SkyWalking for micro‑service and cloud‑native monitoring, and provides step‑by‑step Docker‑compose installation, agent configuration, and a detailed walkthrough of the SkyWalking UI components.
This article explains why microservice architecture is preferred over monolithic applications, outlines a learning roadmap, and details essential concerns such as Docker, container orchestration, API gateways, load balancing, service discovery, event buses, logging, monitoring, distributed tracing, data persistence, caching, and cloud providers, with recommended tools for each.
The 2022 JD Front‑End Technology Salon gathered experts from leading companies to share practical insights on virtual digital humans, Node.js monitoring, lightweight cross‑platform rendering, low‑code platforms, micro‑frontend solutions, and other cutting‑edge front‑end technologies driving business growth.
The article details the background, five‑layer architecture, core modules, data model, processing, storage, and alert strategies of the Sentinel monitoring system built on Nebula Graph and integrated with Enterprise WeChat, highlighting its real‑time monitoring, task tracing, and the resulting improvements in reporting timeliness and reliability.
This guide explains how to gather extensive MySQL monitoring data—including connections, buffer cache, locks, SQL activity, statement counts, throughput, server variables, and slow‑query analysis—solely with MySQL's native SHOW statements, providing low‑overhead, real‑time insight for database administrators.
This article explains how X‑Select’s Data Quality Platform (DQC) addresses common data quality problems in large‑scale data development by defining six quality dimensions, leveraging open‑source solutions such as Apache Griffin and Qualitis, and implementing rule definition, execution, alerting, and workflow interruption within a Spark‑based architecture.
This article presents a comprehensive microservice architecture roadmap, explaining core concepts, why to adopt microservices, and recommending tools such as Docker, Kubernetes, API gateways, service discovery, logging, monitoring, tracing, data persistence, caching, and cloud providers for building scalable, resilient applications.
Drawing from three and a half years of Linux operations, this guide outlines practical standards for testing, confirming commands, avoiding concurrent edits, mandatory backups, data safety, security hardening, continuous monitoring, performance tuning, and the right mindset to keep production environments stable and secure.
This guide explains how to troubleshoot Filebeat failing to start due to an EOF error while loading registrar state, by inspecting logs, resetting the registry directory, and restarting the service on a Linux host.
