This article explains why true observability is essential for modern software, outlines its five core pillars, details a four‑stage maturity model with benefits and drawbacks, and provides practical steps—including data collection, team organization, and AI automation—to advance from basic monitoring to predictive, self‑healing systems.
This article outlines comprehensive best‑practice guidelines for designing robust, secure, and maintainable backend services—covering API path conventions, request handling, parameter design, error codes, dependency management, monitoring, degradation strategies, legacy service handling, encryption, access control, and tamper‑proof mechanisms, with practical code examples.
Alibaba Taotian’s testing platform now lets business owners self‑service reliable environments by binding accounts to isolated routes, monitoring lightweight health metrics with automated self‑healing, accelerating deployments via code caching and JVM tricks, and enabling rapid “time‑travel” scenario testing, while planning tighter observability and production alignment.
This article outlines the most frequent Kubernetes pitfalls—such as missing resource requests, omitted health checks, using the :latest tag, over‑privileged containers, insufficient monitoring, default namespace misuse, weak security settings, absent PodDisruptionBudgets, lack of pod anti‑affinity, and improper load‑balancing—and provides concrete commands, YAML examples, and best‑practice recommendations to prevent them.
This guide outlines a comprehensive, step‑by‑step strategy for creating a highly available, secure, and scalable website—from buying and protecting multiple domains, configuring DNS and CDN, setting up image and database servers, to implementing monitoring, redundancy, high‑concurrency testing, and disaster‑recovery plans.
This extensive article presents a systematic approach to front‑end stability, covering observability systems, full‑chain monitoring, high‑availability design, performance management, risk governance, process mechanisms, and engineering practices to ensure reliable user experiences and business continuity.
This article presents a comprehensive collection of Bash scripts that perform tasks such as verifying file consistency across servers, scheduled log cleaning, network traffic monitoring, numeric analysis in files, automated FTP downloads, interactive number games, Nginx 502 detection, variable assignments, bulk file renaming, IP address validation, and various system administration operations.
This case study details how Qunar’s engineering team analyzed and resolved severe Kafka production bottlenecks during peak traffic by adding targeted monitoring, tuning thread and filebeat parameters, and validating changes through gray‑scale tests, ultimately saving 2000 CPU cores across three clusters.
The massive Microsoft blue‑screen outage caused by a faulty CrowdStrike update highlights the dangers of single‑system reliance, poor code quality, insufficient QA, and the need for staged rollouts, robust backup, real‑time monitoring, and proactive incident‑response strategies for modern IT organizations.
This article analyzes the role, application scenarios, stability challenges, and comprehensive governance framework of Apache Kafka at Soul, covering deployment, configuration, monitoring, standard controls, common misuse, and future directions toward cloud‑native solutions.
This article details the end‑to‑end redesign of Quora Travel's Watcher monitoring platform from minute‑level to second‑level precision, covering architectural changes, storage engine migration, client‑side metric collection, server‑side scheduling, dashboard and alarm adaptations, and the resulting operational improvements.
This article presents comprehensive guidelines for designing flexible, secure, and maintainable API services, covering standardized paths, request handling, parameter design, business logic, exception management, dependency classification, monitoring, degradation strategies, handling legacy services, and encryption measures to ensure robust service architecture.
This comprehensive guide walks backend developers through practical techniques—such as proper indexing, SQL refactoring, parallel remote calls, asynchronous processing, caching layers, sharding, and monitoring—to diagnose and dramatically improve API response times and overall system throughput.
This article explains how Prometheus generates and sends alerts, covering the definition of alert rules with PromQL, grouping, templating, configuring evaluation intervals, deploying a custom alert receiver in Kubernetes, and analyzing alert payloads and delivery frequency, while also detailing alert silencing and resolution behavior.
This guide explains why many users still run self‑built Prometheus + Thanos, outlines the common deployment scenarios and pain points, and provides detailed step‑by‑step migration procedures—including metric collection, visualization, and alerting—for moving to Alibaba Cloud's fully managed Prometheus service across Kubernetes, ECS, and IDC environments.
The article explains the concept of a dynamic thread pool, identifies common pain points such as invisible runtime status, hard‑to‑trace rejections, and slow parameter tuning, and presents a comprehensive solution that includes monitoring, alerting, automatic stack dumping, and live parameter refresh for Java backend services.
This article explores essential service design considerations beyond standard guidelines, covering API path structuring, request handling, parameter design, security measures, monitoring, degradation strategies, and code examples to help build flexible, secure, and maintainable backend services.
This article presents a comprehensive case study of refactoring a consumer installment platform, covering business restructuring, technical debt resolution, design of domain and module layers, code redesign with design patterns, phased deployment, monitoring setup, and the overall benefits achieved.
This guide outlines the purpose, scope, principles, and detailed specifications for log management—including file naming, retention periods, content rules, security handling, and monitoring—to ensure reliable issue tracing, data safety, and regulatory compliance across all system development projects.
This guide explains how to move from a self‑built open‑source Prometheus + Thanos monitoring stack to Alibaba Cloud's fully managed Prometheus service, covering typical deployment scenarios, migration requirements, step‑by‑step procedures for metric collection, visualization, and alerting, and key considerations for each environment.
This article discusses essential Kubernetes monitoring topics, including cost tracking, tool selection, observability frameworks, responsibility allocation, baseline establishment, namespace best practices, the importance of monitoring, backup solutions, and a comparison of Datadog versus Splunk for metrics.
This article compiles seven hands‑on Linux performance‑optimization practices, covering key factors such as CPU, memory, disk I/O, network, swap usage, and TCP tuning, and provides concrete commands and step‑by‑step troubleshooting methods for system administrators and DevOps engineers.
This article outlines comprehensive system stability strategies for backend development, covering technical design reviews, key reliability techniques such as rate limiting, circuit breaking, timeout handling, isolation, and deployment safeguards like monitoring, gray releases, and rollback, aiming to reduce incidents and improve operational resilience.
This article explains business continuity concepts, outlines the risks to IT system stability, and provides actionable steps—such as expanding monitoring coverage, improving fault detection, enhancing architecture resilience, and strengthening emergency coordination—to ensure continuous operation despite inevitable failures.
The article explains the concept of dynamic thread pools, analyzes common pain points such as invisible runtime status, hard‑to‑locate rejections, and slow parameter tuning, and presents a comprehensive solution that includes monitoring, alerting, automatic stack tracing, and on‑the‑fly parameter refresh using Java code.
The article describes how a configuration‑checking tool was designed and built to automatically compare baseline business configuration data with the after‑sales system's settings, detect mismatches before use, and alert responsible testers, thereby reducing manual verification effort and preventing workflow disruptions.
This article provides a comprehensive guide to designing and deploying an enterprise‑grade monitoring system, covering requirement analysis, tool selection such as Prometheus and Zabbix, system architecture, step‑by‑step implementation, alerting, visualization, and ongoing maintenance to ensure reliable IT operations.
This guide walks through installing Grafana and Prometheus with Docker, configuring node_exporter to collect system metrics, adding SpringBoot Actuator and Micrometer for application metrics, setting up Prometheus scrape jobs, and importing ready‑made Grafana dashboards to achieve real‑time monitoring and alerting.
This article details 360's comprehensive approach to improving Apache Kafka cluster stability through proactive operations, capacity assessment, parameter tuning, monitoring, version upgrades, and traffic control, offering concrete guidelines and best‑practice recommendations for large‑scale message‑queue deployments.
This guide explains how the Go Agent injects observability code at compile time to provide automatic tracing and metrics for Golang microservices running on Kubernetes, covering its architecture, supported SDKs, compatibility, and step‑by‑step deployment instructions including component installation, binary compilation, and YAML configuration.
This article provides a comprehensive technical overview of pfinder, JD's next‑generation APM system, covering its core concepts, feature set, comparison with other tracing tools, bytecode modification techniques using ASM, Javassist, ByteBuddy and ByteKit, Java agent injection via JVMTI and Instrumentation, plugin loading, trace‑ID propagation across threads, and a prototype hot‑deployment capability.
This guide explains how to install, configure, and leverage the Grafana Alibaba Cloud OpenAPI plugin to visualize cloud resources, create alerts, and accelerate prototype validation in fast‑paced development environments.
This guide outlines essential steps for creating a robust, high‑availability website architecture, covering domain acquisition, DNS management, CDN deployment, image caching, data center selection, monitoring, DDoS mitigation, redundancy, server configuration, database replication, testing environments, security practices, and operational tooling.
This guide explains how to use the four golden signals—latency, traffic, errors, and saturation—to design effective monitoring across servers, services, and external dependencies, helping teams detect issues early and maintain reliable, high‑performance systems.
This guide walks you through installing the Alibaba Cloud OpenAPI data source plugin for Grafana, configuring authentication and connection parameters, building queries and visual panels, and using the built‑in alert system to monitor cloud resources efficiently.
Qunar’s Watcher monitoring platform was upgraded from minute‑level to second‑level precision, redesigning storage, data collection, and alerting pipelines, adopting VictoriaMetrics, enhancing client SDKs, and adding fine‑grained alarm rules, which reduced fault detection from four minutes to under one minute while improving reliability and scalability.
This article introduces ten indispensable tools for operations engineers, detailing each tool's functionality, typical use cases, key advantages, and real‑world examples, while also providing a practical Shell script and an Ansible playbook to illustrate automation in daily workflows.
This article explains why memory OOM and CPU throttling are critical issues in Kubernetes, shows how limits and requests work, demonstrates monitoring techniques with Prometheus and cAdvisor, and provides practical best‑practice recommendations to avoid pod eviction and performance degradation.
This article provides a comprehensive guide on building a unified log collection system using Filebeat and Graylog, covering the tools' concepts, configuration files, component functions, Docker deployment, and practical code examples for efficient log monitoring across multiple environments.
This article explains why interface analysis is essential, how to collect request data from web, mini‑programs, and Flutter using hooks and overrides, and how to process, store, and visualize metrics with Redis, InfluxDB, MySQL, and Elasticsearch while managing concurrency and flow control.
This article details the background, overall architecture, challenges, and step‑by‑step redesign of Qunar Travel's Watcher monitoring platform to achieve second‑level (per‑second) data collection, storage, and alerting, including storage engine selection, client and server optimizations, deployment strategies, and operational outcomes.
This guide compiles practical Nginx performance‑tuning directives, FastCGI settings, Linux kernel parameter adjustments, security hardening tips, and monitoring configurations, providing concrete examples and command‑line snippets to help sysadmins and developers optimize high‑concurrency web services.
This extensive training program covers everything a data center operations engineer needs—from foundational infrastructure management and server hardware maintenance to advanced network configuration, security hardening, monitoring, fault handling, and practical hands‑on skills for real‑world challenges.
This article presents a comprehensive analysis and engineering of Qunar's flight‑ticket intelligent pre‑warning (Radar) system, covering the business need, value analysis, architectural redesign, feature extraction, indicator classification, accuracy quantification, multi‑algorithm anomaly detection, automatic parameter tuning, observed effects, and future plans to incorporate large‑model techniques.
This guide explains Zipkin's architecture, data collection methods, and step‑by‑step installation and configuration for PHP applications, including creating tracers, recording spans, and integrating a middleware for full‑stack monitoring in Webman microservice environments.
This comprehensive DevOps guide explains core concepts such as collaboration, automation, CI/CD pipelines, infrastructure as code, and monitoring/logging, and includes practical code examples for Git, shell scripts, Jenkins, GitHub Actions, AWS CodePipeline, Ansible, Docker Compose, Prometheus, Grafana, Fluentd, and Elasticsearch.
Observability, defined as measuring system state through logs, metrics, and tracing, enhances stability of distributed architectures by enabling rapid fault detection, deeper insight, and proactive issue resolution, distinguishing it from traditional monitoring and supporting DevOps, SRE, and business objectives.
This guide explains how to deploy RabbitMQ on Kubernetes and improve its performance through Helm installation, resource tuning, monitoring, scaling, security hardening, and advanced configuration techniques, providing practical code examples for each step.
In today’s competitive business landscape, tracking key operations metrics—such as availability, failure rate, MTTR, MTBF, response time, throughput, error rate, and various utilization and data integrity measures—helps organizations monitor performance, reduce costs, ensure reliability, and maintain regulatory compliance.
This guide reviews ten indispensable tools for operations engineers, detailing each tool's functions, ideal scenarios, advantages, and real‑world examples, and includes practical code snippets for automation, monitoring, container management, and log analysis.
This guide outlines practical steps for creating a highly available, secure, and scalable website—including domain strategy, CDN deployment, image caching, data‑center selection, monitoring, attack mitigation, redundancy, server configuration, database replication, testing environments, disaster‑recovery planning, and high‑concurrency testing.
This article details how the Dongchedi business team designs, implements, and monitors a comprehensive metric system within its data warehouse, covering metric standards, model construction, metadata management, quality monitoring, application scenarios, and future directions using the DataLeap platform.
A collection of Zhihu users’ answers reveals that operations engineers handle complex monitoring, deep Linux expertise, fire‑fighting, network security, and infrastructure management—tasks that often exceed developers’ expectations and require a broad, high‑level technical skill set.
iQIYI’s Video Relay Service ensures uninterrupted video playback by employing a two‑region, three‑center hybrid cloud architecture, multi‑layer storage, cross‑AZ retry mechanisms, protective rate‑limiting and degradation paths, layered monitoring, and rigorous stress‑testing and chaos engineering to achieve high availability and disaster recovery.
This guide walks you through configuring Prometheus alerting, using Alertmanager’s grouping, inhibition and silencing features, and integrating alerts with Enterprise WeChat via Docker, Docker‑Compose, and custom YAML and template files, complete with verification steps and sample CPU/memory rules.
This article presents a detailed curriculum covering fundamental infrastructure, cluster architecture, automation, log collection, Linux system administration, containerization, monitoring, security, and related DevOps tools across multiple phases and daily modules for comprehensive SRE training.
The article analyzes why Prometheus sometimes returns inaccurate metric values, revealing the design trade‑offs that favor efficiency over precision, and walks through common pitfalls in rate/increase calculations, histogram P99 estimation, and practical recommendations for choosing scrape intervals and query windows.
This article presents a comprehensive case study of how Qunar Travel identified and resolved Kafka production bottlenecks—through metric monitoring, thread and flush parameter tuning, and Filebeat batch adjustments—resulting in a 2000‑core CPU reduction, higher network idle rates, and lower resource consumption across three clusters.
This article explains why threads are essential for performance, how to create and configure Java thread pools using the Executors utility, distinguishes CPU, IO, and scheduled pool types, and demonstrates monitoring techniques for latency and deadlock detection with practical code examples.
This article details the investigation of sporadic interface timeouts in the Sirius real‑time pricing service, revealing a weekly pattern linked to RAID controller consistency checks that cause IO spikes, logback queue blockage, and ultimately Dubbo client‑side timeouts, and proposes mitigation steps and general performance‑troubleshooting guidelines.
The article outlines essential DevOps and agile practices—including Scrum, Kanban, continuous integration, continuous delivery, monitoring, micro‑services, automation, and security—to improve collaboration, increase release frequency, and deliver higher‑quality software faster.
This guide explains the key factors that affect Linux system performance, provides step‑by‑step troubleshooting methods for CPU, memory, disk I/O and network issues, shows how to identify top resource‑hungry processes, clarifies memory reporting differences, discusses swap usage scenarios, and offers concrete TCP tuning parameters for production environments.
This guide explains how to create a shell script that checks SSL certificate expiration dates and integrates it with Zabbix by configuring a user parameter, testing the script, and setting up monitoring items, triggers, graphs, and alerts to ensure services remain available.
To prevent malicious API abuse, implement layered defenses such as firewalls to block unwanted traffic, robust captchas and SMS verification, mandatory authentication with permission controls, IP whitelisting for critical endpoints, HTTPS encryption, strict rate‑limiting via Redis, continuous monitoring with alerts, and an API gateway that centralizes filtering, authentication and throttling.
This article compares Prometheus and Zabbix, covering their histories, architectural differences, storage models, configuration complexity, community activity, and container support, to help you decide which monitoring solution best fits physical servers or cloud-native environments.
This article explains how to set up a Zabbix monitoring system by installing Docker, pulling necessary images, creating storage volumes, and running containers for MySQL, Zabbix server, Java gateway, web interface, and agents, providing a fast, container‑based deployment solution.
This article walks through eight concrete techniques—firewall rules, captchas, authentication checks, IP whitelists, HTTPS encryption, rate limiting, monitoring, and an API gateway—to prevent abusive requests from draining resources or compromising critical services.
This article explains Meta's approach to cache invalidation and consistency, detailing why ultra‑high consistency matters, how their Polaris monitoring system detects and resolves inconsistencies, and provides a simplified Python example that illustrates the underlying mechanisms and challenges.
Guider, a Python‑based Linux observability suite created by Hyundai engineer Peace Lee, offers over 150 command‑line tools for real‑time performance monitoring, resource tracing, automated reporting, and visualizations, enabling developers to diagnose slow startups, crashes, GPU stalls, and system resets with microsecond precision.
This guide walks you through installing Spring Boot Admin 3.2.3, configuring both server and client sides, securing the dashboard with Spring Security, and customizing the UI with external links, dropdown menus, and branding.
This article explains how to use Go to parse the JSON output of the RabbitMQ cluster_status command, defines matching Go structs, and demonstrates extracting key cluster information such as node lists, feature flags, listeners, and version details.
This guide presents twelve practical Linux techniques—from basic commands like free and top to advanced tools such as Grafana with Prometheus—enabling administrators to comprehensively track memory consumption, identify bottlenecks, and maintain system stability and performance.
This article explains Meta's approach to cache invalidation and consistency, why ultra‑high consistency matters for user experience, the monitoring infrastructure they built, the Polaris system that detects and repairs inconsistencies, and provides a concrete Python‑style code example illustrating the problem and solution.
This article explains the definitions of stability and high availability, distinguishes their relationship, outlines key performance indicators, and provides a comprehensive framework—including fault prevention, detection, and recovery, as well as design, coding, testing, monitoring, and emergency response practices—to help teams build reliable, highly available systems.
This article explains why performance optimization is essential for growing systems, introduces key metrics such as response time and concurrency, outlines systematic thinking and concrete techniques—including caching, parallelism, and async processing—and demonstrates a live‑streaming case study with actionable solutions.
This article provides a comprehensive overview of etcd—including its origins, role in Kubernetes, version evolution, layered architecture, key terminology, operational commands, monitoring metrics, benchmarking procedures, disk‑performance testing, and tuning recommendations—for building reliable cloud‑native clusters.
This article details the design and implementation of a unified, real‑time monitoring solution for a multi‑node distributed trading system, covering data modeling, low‑intrusion data flow, Kafka‑based architecture, C++ consumer components, performance testing, and future optimization directions.
This article explains Redis Sentinel’s role in providing monitoring, notifications, automatic failover, and configuration updates to achieve high availability, detailing its heartbeat mechanism, master‑down detection, leader election, failover selection criteria, and the trade‑offs of using this solution.
Redis Sentinel provides automatic monitoring, fault detection, and failover for Redis master‑slave clusters, enabling high availability by electing a new master when the original fails, using sdown/odown states, quorum voting, and pub/sub communication to keep services running with minimal downtime.
The article examines how a payment platform improves its 24/7 availability by preventing failures, detecting incidents in real time, and implementing rapid recovery measures such as dynamic routing, resource limits, monitoring, logging, and service degradation, while sharing practical Q&A insights.
This guide explains why batch processing is essential for API tuning and provides step‑by‑step techniques—including bulk database operations, request merging, pagination, parallel execution, caching, and monitoring—backed by concrete Java code samples and SQL queries to help engineers dramatically improve throughput and latency.
This article explains why a global view is needed when Prometheus metrics are scattered across many instances, compares community approaches such as Federation, Thanos, and Remote Write, and details Alibaba Cloud's Global Aggregation Instance and Remote Write solutions with configuration examples and a real‑world case study.
This article compiles thirty actionable tips that cover the entire software development lifecycle—from technical selection and tooling to CI/CD, monitoring, and knowledge sharing—helping engineering teams dramatically improve collaboration, productivity, and delivery quality.
This article introduces the key DevOps tools—including CI/CD platforms, configuration‑management solutions, containerization technologies, monitoring and logging stacks, and infrastructure‑as‑code utilities—explaining their roles, features, and how they help streamline software delivery in modern enterprises.
This article presents a comprehensive view of cloud stability governance from both front‑end and back‑end perspectives, detailing system architecture, micro‑frontend integration, CI/CD deployment pipelines, SLB forwarding and health‑check configurations, monitoring dashboards, UI automation testing, and the resulting operational improvements.
The article analyzes the concept of test left‑shift, outlining its theoretical benefits and drawbacks, sharing practical pain points from NetEase Cloud Music, and presenting a comprehensive pre‑, during‑, and post‑shift automation and monitoring strategy to improve software quality and delivery speed.
This article details a comprehensive, front‑and‑back‑end approach to cloud stability, covering system architecture across private and public clouds, micro‑frontend integration, CI/CD pipelines, SLB routing, health‑check configurations, monitoring dashboards, data reconciliation, UI automation testing, and the resulting improvements in observability, gray‑release, rollback, and incident reduction.
Most system alerts are poorly designed, flooding engineers with noise; this article explains the essence of alerts, distinguishes business rule vs reliability monitoring, outlines effective metrics and strategies, and presents simple anomaly-detection algorithms to create actionable, high-quality alerts.
This article systematically introduces monitoring fundamentals, core concepts, and architecture, then reviews three widely used open‑source monitoring tools—Zabbix, Open‑Falcon, and Prometheus—detailing their components, advantages, disadvantages, and provides practical advice for selecting the most suitable solution.
This article explains how to design a comprehensive monitoring system using the concise USE (Utilization, Saturation, Errors) method, outlines essential system and application metrics, and demonstrates practical implementation with Prometheus, Grafana, and related open‑source tools.
This article details how Instagram grew from zero to 14 million users in just over a year using three engineers by applying three core principles and a reliable AWS‑based tech stack covering frontend, load balancing, backend, PostgreSQL sharding, S3 storage, Redis caching, asynchronous task queues, and comprehensive monitoring.
This article presents a comprehensive guide to database performance improvement, covering index tuning, query rewriting, proper table design, caching strategies, hardware choices, server parameter tweaks, monitoring, connection pooling, and data cleanup, all illustrated with practical examples and diagrams.
This tutorial explains how to install the MySQL Exporter, configure Prometheus to scrape MySQL metrics, set up Grafana dashboards for visualization, and define alerting rules for common MySQL performance indicators, providing a complete end‑to‑end monitoring solution.
This comprehensive guide outlines practical Redis best practices covering memory optimization, key design, data type selection, performance enhancements, high‑availability deployment, operational safeguards, security hardening, and monitoring to help engineers build stable, efficient caching solutions.
This article presents a comprehensive overview of risk control model building for online small‑loan scenarios, covering pre‑loan, in‑loan and post‑loan stages, the associated data pipelines, model deployment strategies, optimization attempts, and monitoring frameworks to ensure accuracy, stability and effectiveness.
This tutorial explains how to install Redis Exporter, configure Prometheus to scrape Redis metrics, visualize them in Grafana, and set up alert rules for Redis, providing step‑by‑step commands, configuration snippets, and screenshots for a complete monitoring solution.
This guide outlines a complete, practical workflow for acquiring multiple domains, configuring DNS, deploying CDN and image caches, selecting data‑center locations, setting up redundant servers, implementing monitoring, handling DDoS attacks, planning capacity, securing systems, and organizing an operations team to ensure high availability for large‑scale web services.
This article explains why low‑disk alerts demand automation, outlines the concept of fault self‑healing versus manual response, and provides practical guidelines—including standards, monitoring dimensions, CMDB integration, script execution tools, and notification channels—to build a reliable self‑healing system for large‑scale environments.
This article explains how to design and implement a comprehensive Prometheus‑based monitoring and alerting solution for big‑data components running on Kubernetes, covering metric exposure methods, scrape configurations, exporter deployment, alert rule design, and practical examples with code snippets.
This article analyzes the shortcomings of fragmented monitoring systems, defines key metrics such as MTTA and MTTR, proposes a unified alert convergence architecture using Redis delayed queues, and details design, implementation, and future AI‑enhanced improvements to reduce alert fatigue and accelerate incident response.
