This article explains ClickHouse's strengths as a high‑performance MPP database, details hardware selection, read/write separation, shard expansion steps, batch‑size tuning, and presents a three‑layer monitoring model, while also describing its practical application in Tencent's game analytics platform.
This article explains why Flink is chosen for online sample generation, describes the end‑to‑end implementation steps—including stream union, state‑timer processing, and output formatting—covers state backend choices, monitoring, validation, fault handling, and platformization for scalable real‑time machine‑learning pipelines.
This article explains the typical reasons Redis latency spikes—such as high‑complexity commands, large keys, concentrated expirations, memory limits, fork overhead, CPU binding, AOF settings, swap usage, and network saturation—and provides practical steps to monitor, identify, and mitigate each issue.
This article details Red Pulse's journey of integrating the NEO blockchain, the security vulnerabilities it faced—from token theft and credential‑stuffing attacks to sophisticated social‑engineering exploits—and the comprehensive technical measures, monitoring tools, and mitigation strategies it implemented to protect its platform and users.
This guide walks through deploying clickhouse-exporter, configuring Prometheus to scrape its metrics, and importing a Grafana dashboard to monitor ClickHouse single‑node or cluster performance, providing a practical monitoring solution for the database.
This article explains the scenarios where MySQL compressed tables are appropriate, describes how to monitor their health using InnoDB CMP tables in information_schema, and provides practical examples of creation, performance comparison, and update/delete operations to illustrate best‑practice usage.
This guide explains the MQTT protocol, shows how to install and run a Mosquitto broker on CentOS, and demonstrates how to collect MQTT messages with a custom Zabbix Agent2 plugin for real‑time monitoring in Zabbix.
This article explains how latency is used as a key indicator for application risk identification, defines slow interfaces, describes why percentile‑based thresholds are preferred over averages, and outlines the architecture, task workflow, and practical optimization strategies for a full‑chain monitoring system in a microservice environment.
This article details the background, performance and stability requirements, strategic approach, and concrete initiatives—including full‑chain load testing, chaos engineering, monitoring, and targeted optimization projects—that were undertaken to boost the performance by over 300% and improve high‑availability of the continuation enrollment platform.
The article outlines G Bank’s transition from a single‑threaded commercial monitoring solution to a self‑developed, open‑source based alert system that leverages Akka for parallel collection, Apache Dubbo for distributed processing, and Apache Ignite for in‑memory storage, achieving million‑level alert capacity, sub‑100 ms latency, and linear scalability.
This guide walks through Prometheus fundamentals, architecture, components, service discovery, Docker-based deployment, exporter integration, Alertmanager configuration, Grafana visualization, PromQL queries, and Consul service discovery, providing a complete end‑to‑end monitoring solution for cloud‑native environments.
This article explains how Suning's big‑data center leverages ClickHouse’s columnar OLAP engine and a full‑chain monitoring platform to achieve real‑time query tracing, slow‑query analysis, cluster health checks, and resource‑level alerts across diverse business scenarios.
From early .Net ESB attempts to a Java‑based CDubbo framework, CTrip details its migration to Dubbo, covering registration, health checks, CAT monitoring, dynamic configuration, SOA compatibility, testing tools, thread‑less execution, performance gains, extensibility, ecosystem integration, and future service‑mesh standardization.
This article explains why consistent Git commit messages matter, presents a detailed commit‑message format with type, scope and subject, shows how to enforce the standard using a webhook that validates messages, monitors large commits, and provides useful statistics for the development team.
The team introduced an Angular‑style Git commit‑message standard—type(scope): subject in Chinese—and built a webhook‑based monitoring service that validates pushes, alerts violations, tracks diff size and deletions, stores metrics, and visualizes compliance, improving traceability, readability, and automated changelog generation.
Grafana’s new Redis Data Source plugin lets DevOps engineers and DBAs seamlessly connect to Redis instances—whether open‑source, Enterprise, or Cloud—visualize time‑series and core data types, run management commands, and build interactive dashboards using Grafana’s transformations and built‑in panels.
This article walks through the transformation of a simple online supermarket from a monolithic design to a fully fledged microservice system, explaining the motivations, architectural changes, component selection, common pitfalls, and best‑practice solutions such as service decomposition, database sharding, monitoring, tracing, service mesh, resilience patterns, and testing strategies.
This article provides a comprehensive guide on using Prometheus for Kubernetes monitoring, covering fundamental principles, exporter selection, Grafana dashboard creation, memory and storage optimization, high‑availability designs, query performance, cardinality management, and integration with alerting and logging systems.
Zhongtong built the ESPaaS platform to automate deployment, unify monitoring, and provide real‑time alerts and diagnostic capabilities for over 40 Elasticsearch clusters, handling petabytes of data with Prometheus, Grafana, and DingTalk integrations while sharing practical lessons learned.
This article introduces Prometheus' query language PromQL, explains instant and range vector selectors, label matching, offset handling, storage design, common functions and aggregation operators, and provides practical advice for efficient querying and avoiding performance issues.
The article details the architecture of 58.com’s SSP advertising platform, identifies three key reliability challenges—data consistency, interface regression, and storage synchronization—and presents a three‑layer testing quality system comprising web‑layer validation, service‑layer automated testing, and data‑layer monitoring with concrete tools and future improvement plans.
This tutorial walks you through installing Zabbix on CentOS 7, covering prerequisite disabling of SELinux and firewalls, adding repositories, installing server, web, and database components, configuring files, securing MariaDB, starting services, and completing the web‑based setup with language customization.
This guide walks through modifying Alertmanager to use a NodePort service, decoding and editing its secret to add custom receivers and a WeChat template, recreating the secret, and extending Prometheus Operator with additional scrape configs for automatic service discovery, including RBAC adjustments and verification steps.
This article explains why Linux's `free` command often reports higher used memory than the RSS values shown by `ps aux`, covering buffer/cache reclaimable memory, slab and page‑table consumption, and provides Bash scripts to accurately calculate total memory usage.
This article traces the evolution of database autonomy from manual, knowledge‑driven operations through tool‑assisted and expert‑level stages to cloud‑native intelligent services, and details Tencent's DBbrain platform, its architecture, performance‑optimization, security, monitoring, cost‑based analysis, and future self‑healing capabilities.
This article introduces four widely used Linux monitoring tools—iotop, htop, IPTraf, and Monit—explaining their features, usage scenarios, and how they help operations engineers diagnose performance issues without a GUI, including real‑time I/O tracking, visual CPU/memory graphs, network traffic analysis, and flexible alerting.
This tutorial walks through installing and configuring Filebeat, Kafka, Logstash, Elasticsearch, and Kibana, detailing version requirements, file permissions, YAML settings, startup commands, topic verification, and how to ingest and visualize log data in Kibana.
An internal Java‑based HTTP service suddenly suffered high latency and timeouts, prompting a systematic investigation that uncovered excessive QPS, frequent ParNew GCs, CPU load spikes, and large response payloads, leading to concrete performance and design improvements.
This tutorial walks you through disabling SELinux and the firewall, adding Zabbix and EPEL repositories, installing Zabbix server, web, and database components, configuring files, securing MariaDB, starting services, and completing the web‑based setup to get a fully functional monitoring system.
This guide walks through installing InfluxDB and Grafana on CentOS, configuring InfluxDB for Flink metrics storage, creating databases and retention policies, integrating the Flink InfluxDB reporter, and building Grafana dashboards to visualize real‑time Flink job metrics.
This article explains how Netflix's performance team uses ten standard Linux command‑line tools to quickly assess system health within the first minute, focusing on error detection, resource saturation, and utilization across CPU, memory, disk, and network to pinpoint performance problems.
iQIYI’s tech product team designed a unified full‑link automated monitoring platform that integrates link, metric, and log collection with deep analysis, enhancing fault localization, performance insight, and scalability across microservices, while addressing limitations of existing tools like ELK, Prometheus, and Dapper.
The article describes the challenges of troubleshooting distributed deployments across many machines and presents a solution built on the ELK stack that centralizes logs from Java and Go services, enabling near‑real‑time search, visualization, and faster issue resolution.
ShenTan is an automated fault‑localization platform for online services that quickly (under five seconds) pinpoints server‑side issues with developer‑level accuracy by aggregating real‑time metrics, applying a decision‑tree model enriched by expert knowledge and dynamic thresholds, and presenting results through an integrated alert and visualization system, while planning broader endpoint coverage and multi‑tenant support.
This article presents ten actionable recommendations—including reverse‑proxy deployment, load balancing, caching, compression, SSL/TLS tuning, HTTP/2 adoption, software upgrades, Linux and web‑server tuning, and real‑time monitoring—to dramatically improve web application performance, often achieving tenfold speed gains.
This guide details how to enable Prometheus metrics on GitLab Runner, configure Prometheus to scrape those metrics, and set up the gitlab-ci-pipelines-exporter with Grafana dashboards to monitor both runner performance and CI/CD pipeline health.
This article chronicles the evolution of the WebMonitor front‑end monitoring system, detailing its three‑tier stack, data pipeline upgrades from raw disk sampling to HDFS and Elasticsearch, extensive collector‑side optimizations, Jetty thread and timeout tuning, and the resulting performance gains that lowered response times from minutes to sub‑second levels.
After two years transitioning from e‑commerce to finance, the team shares practical monitoring strategies for low‑frequency financial services, contrasting e‑commerce traffic‑based methods with finance‑specific challenges, and detailing point‑based metrics, hourly success‑rate alerts, aspect‑oriented exception handling, white‑list filtering, and Sentinel‑based circuit breaking.
This guide explains how to systematically analyze Linux performance problems—including CPU, memory, disk I/O, network, and load—using 5W2H methodology, built‑in monitoring commands, perf, flame‑graph visualizations, and a real‑world Nginx case study to pinpoint and resolve bottlenecks.
This article introduces Qbus, a cloud‑based queue service built on Kafka, covering its architecture, core components such as log collection, SDKs, HDFS persistence, monitoring with Prometheus, business integration methods, use‑case scenarios, and future development directions.
This article describes how our team designed and implemented a comprehensive online monitoring system for construction drawing generation, covering business background, technical architecture analysis, metric definition, monitoring methods, and the resulting dashboards that improve quality, stability, and rapid issue resolution.
This guide walks through installing HAProxy on a Kubernetes master node, compiling and configuring it, adding the HAProxy exporter, creating a ServiceMonitor YAML for the Prometheus Operator, and verifying that metrics are correctly scraped and displayed in the Prometheus UI.
This article shares practical monitoring strategies for financial services with low‑frequency operations, contrasting e‑commerce monitoring methods, outlining the challenges of financial monitoring, and presenting reliable solutions such as success‑rate alerts, aspect‑oriented exception handling with whitelists, and circuit‑breaker degradation using Sentinel.
This article introduces Prometheus, covering its architecture, key features, data model, metric types, installation steps, integration with node_exporter and Grafana, and outlines suitable and unsuitable use cases for this open‑source monitoring system.
This guide walks through creating PrometheusRule resources, deploying Alertmanager via the Prometheus Operator, configuring custom alerting rules, exposing Alertmanager with a Service, and applying custom Prometheus configuration files using Kubernetes secrets and kubectl commands.
This article explains what the Prometheus Operator is, how it extends Kubernetes with custom resources, lists the CRDs it provides, and walks through a complete deployment—including cloning the source, creating a monitoring namespace, applying RBAC, installing the operator, creating a Prometheus instance, configuring ServiceMonitor, and troubleshooting common permission errors—using concrete YAML manifests and kubectl commands.
After two months of intensive development, the team launched a new monitoring and alerting platform that transforms a legacy system into a service‑oriented solution, addressing pain points such as inflexible escalation, noisy alerts, and poor ownership while introducing phone alerts, automated escalation, Prometheus integration, and a unified rule engine.
This guide shows how to configure a Redis exporter alongside a Redis pod in Kubernetes, add Prometheus scrape annotations, apply the deployment and service manifests, and visualize metrics in Grafana, providing step‑by‑step commands, YAML examples, and screenshots of the monitoring dashboard.
This article categorizes the most popular 2020 DevOps tools across development, testing, deployment, runtime, and collaboration, explains why each tool leads its class, lists key advantages and competitors, and offers a practical checklist for assembling a full CI/CD pipeline.
This article categorises the most popular 2020 DevOps tools—development/build, automated testing, deployment, runtime, and collaboration—explains why each tool topped its class, lists key advantages, and compares notable competitors to help teams build a complete CI/CD pipeline.
This article explains the motivations behind Loki, its architecture and components, how it reduces the cost and complexity of log and metric querying compared to ELK, and details its write‑read pipeline, scalability, and integration with Kubernetes and Prometheus.
This article summarizes Liu Huan's presentation on data security in the DT era, covering the current security landscape, internal and external threats to enterprise data, and 58 Daojia's practical approaches to data discovery, classification, authentication, monitoring, and incident response.
Discover four high‑usage Linux monitoring utilities—iotop, htop, IPTraf, and Monit—that help you quickly diagnose I/O, CPU, memory, network, and process issues, with visual insights and flexible alerting to keep single or multiple servers running smoothly.
This guide walks through downloading the mysql_exporter package, extracting it on a Kubernetes master, installing the binary, creating a dedicated MySQL user with proper permissions, configuring a password‑less client file, launching the exporter, and updating Prometheus via kubectl so MySQL metrics are exposed on port 9104.
This article explains how Taobao’s front‑end engineers tackled the massive traffic of the 618 promotion by optimizing resource requests, data fetching, module loading, monitoring, and fallback strategies, ultimately achieving smooth, high‑performance pages for billions of shoppers.
Microservices, introduced in 2012 and popularized by Martin Fowler, decompose applications into small, independent services that communicate via lightweight protocols, enabling modular development, flexible technology choices, independent deployment, and improved scalability, while also introducing challenges such as distributed data consistency, testing complexity, and operational overhead.
This guide explains how to set up a PHP‑based web platform that collects MongoDB slow‑query logs via remote profiling, stores them in MySQL, and visualizes the data, including installation of required PHP extensions, database preparation, configuration, cron scheduling, and enabling profiling on MongoDB.
This guide walks you through creating Zabbix auto‑discovery scripts to extract all Redis INFO parameters, configuring custom keys, setting permissions, and building a complete Redis monitoring template with step‑by‑step screenshots.
This article presents a lightweight gray release approach for complex flight ticket services, comparing traditional hardware and soft‑routing isolation methods, describing the authors' traffic‑based gray identification, business‑focused monitoring, implementation details, and automated safeguards to enable safe incremental deployments.
This article explains the complete Prometheus data collection workflow, covering key concepts such as targets, samples, and meta labels, detailing the relabeling steps, configuration options, example use‑cases, and the final scrape and storage phases for effective monitoring.
This guide shows how to route Zabbix alarm messages through a Kafka cluster and then deliver them to Enterprise WeChat using Python scripts, covering host configuration, Kafka/Zookeeper startup, topic creation, alert‑sending scripts, and Zabbix action setup.
The article details JD’s data product teams’ systematic preparation for the 618 shopping festival, covering pressure estimation, capacity expansion, stress testing, emergency downgrade strategies, dual‑data‑center isolation, high‑fidelity end‑to‑end testing, and continuous monitoring to ensure stable, real‑time data services during massive traffic spikes.
Xianyu mitigated lottery‑related financial loss by centralizing rights management, decoupling UI from business logic, and providing a unified SDK with simple draw APIs, while adding real‑time log backflow, comprehensive accounting and monitoring, cutting configuration time by over 50 % and eliminating UI‑only risk.
In a mobile‑first world where limited device resources and unstable networks threaten user retention, Kuaishou’s performance team built an APM monitoring platform and applied systematic memory, startup, and jank optimizations that cut startup time by 40%, reduced package size by 23 MB, and significantly improved key product metrics.
This guide walks through setting up a complete Prometheus monitoring stack on a Kubernetes cluster, covering both traditional YAML deployments and the Prometheus Operator, configuring services, integrating Grafana dashboards, and enabling Alertmanager notifications including WeChat alerts.
This comprehensive guide explains why monitoring is essential for operations, outlines monitoring goals and methods, reviews a wide range of open‑source tools, details a Zabbix‑based workflow, enumerates key metrics across hardware, system, application, network, security and business layers, and offers practical alerting and interview tips.
The logistics R&D team spent 62 days preparing for the 618 promotion by analyzing core processes, applying stress tests, implementing fault‑tolerant architectures, planning capacity, and deploying real‑time monitoring tools to ensure system stability and performance under peak traffic.
This guide walks you through modifying Alertmanager’s configuration to deliver alerts via QQ email, DingTalk chat‑bot webhooks, and Enterprise WeChat, including SMTP settings, webhook plugin installation, and the required wechat_configs parameters for seamless integration.
This article outlines the design, functional requirements, CRD definition, architecture, deployment, scaling, monitoring, fault‑tolerance, and upgrade strategies of a Zookeeper operator on Kubernetes, including code examples, service configurations, and integration with Prometheus and OAM standards.
This article compares monitoring metrics for CPU, memory, disk, and network between traditional KVM-based servers and Kubernetes pods, explaining why their indicators differ, how resource isolation works, and what key metrics users should watch to diagnose performance bottlenecks.
This article explains what inodes are, why they can become exhausted even when disk space remains, and provides step‑by‑step Linux commands and cleanup techniques to monitor and resolve inode exhaustion issues.
iQiyi’s full‑link automated monitoring platform unifies tracing, metric and log collection with deep offline and real‑time analysis, delivering a DAG‑based call graph, near‑real‑time ingestion of tens of millions of logs, multi‑dimensional alerts and rapid root‑cause diagnosis that cut error‑lookup time by over 50 % and now serves as a core component of the company’s microservice reference architecture.
This article clarifies common misconceptions about load testing, defines it within performance testing, and provides practical strategies for test volume, load generators, scripting, think time, ramp-up/down, monitoring, diagnosis, and data analysis to ensure reliable performance assessments.
This article details how Ctrip optimized the CAT monitoring system—covering its large‑scale deployment, thread‑model redesign, offloading calculations to clients, double‑buffered reporting, and string handling improvements—to dramatically cut CPU usage, GC pressure, and memory consumption while handling billions of messages daily.
This article explains Prometheus data collection by describing metric syntax, label usage, time‑series concepts, the four logical metric types (Counter, Gauge, Histogram, Summary), and provides practical naming, labeling, and selection guidelines for effective monitoring.
Grafana 7.0 introduces a revamped user experience, a unified data model, a new plugin platform, Jaeger tracing support, powerful data transformations, AWS CloudWatch Logs integration, and enterprise usage analytics, offering enhanced visualization and monitoring capabilities across major data sources.
This article provides an in‑depth overview of Java application performance optimization, covering a four‑layer model (application, database, framework, JVM), on‑site and post‑mortem analysis methods, OS and JVM diagnostic tools, common code and GC issues, database deadlock handling, and practical tuning recommendations.
This article explains how to design, implement, and maintain a robust Configuration Management Database (CMDB) by focusing on simple modeling, establishing data closure loops, and efficiently handling existing inventory, while leveraging Kafka, Flink, Elasticsearch, and Neo4j for fast querying and topology visualization.
This article explores the history and principles of Prometheus monitoring, offers guidance on version selection, highlights its limitations, details common Kubernetes exporters, shows Grafana dashboard setups, and provides in‑depth strategies for exporter aggregation, golden metrics, multi‑cluster scraping, GPU monitoring, timezone handling, memory optimization, capacity planning, and rate calculations.
Learn how to enable Zabbix’s VMware monitoring by configuring collectors, editing the server config, linking vCenter templates, adding CPU, memory, and disk usage items, and creating triggers, with detailed code snippets and screenshots to ensure comprehensive virtual machine performance tracking.
The article describes Autohome's third‑generation cloud‑native monitoring platform, detailing its background, strategic goals for R&D efficiency, mobile‑first design, Prometheus‑based architecture with multi‑replica storage and InfluxDB remote storage, its operational impact, and future directions such as AI‑driven noise reduction.
This comprehensive guide explains how to enhance RabbitMQ reliability by covering confirmation mechanisms, producer and consumer configurations, queue mirroring, alerting, monitoring metrics, and health‑check commands, providing actionable steps for developers and operations teams to ensure stable message delivery.
This guide walks through deploying mysqld_exporter, configuring Prometheus and Grafana, and monitoring essential MySQL metrics such as replication health, query throughput, slow‑query counts, connection usage, and InnoDB buffer‑pool statistics, while also showing how to set up alert rules for proactive database operations.
This comprehensive guide explains why monitoring is essential for reliable operations, outlines clear monitoring objectives, walks through practical monitoring methods, compares popular open‑source tools, details a Zabbix‑based workflow, and lists key hardware, system, application, network, security, API, performance, and business metrics to track.
This guide compiles essential MySQL security steps, master‑slave replication principles, backup scripts, Linux boot overview, common port services, virus mitigation, monitoring tools, nginx optimization, InnoDB lock troubleshooting, replication lag reduction, high‑availability components, data migration utilities, and automation configuration management techniques for operations engineers.
This article presents a systematic approach to diagnosing and resolving Java runtime problems by examining CPU usage, disk I/O, memory consumption, garbage‑collection behavior, and network anomalies, offering practical commands, analysis techniques, and visual aids to pinpoint root causes in production environments.
This guide explains why monitoring is essential for the entire operations lifecycle, outlines key monitoring objectives, describes practical methods and workflows, reviews a range of open‑source tools (including Zabbix, MRTG, Ganglia, Nagios, Smokeping, OpenTSDB), and details metric categories such as hardware, system, application, network, log, security, API, performance and business monitoring.
Prometheus, a CNCF‑graduated, cloud‑native monitoring system, combines pull‑based target discovery, a label‑rich time‑series data model, and four core metric types—gauge, counter, histogram, and summary—to provide near‑real‑time visibility, short‑term retention, alerting via AlertManager, and integration with Grafana and remote storage for scalable observability.
This article documents the step‑by‑step practices of a six‑person test‑environment availability team that unified middleware, streamlined deployment pipelines, piloted business usage, introduced monitoring and recovery mechanisms, and created a comprehensive SIT environment handbook to improve integration testing stability and operational efficiency.
This article explains why Kubernetes was chosen, describes the overall architecture, high‑availability master design, multi‑IDC cluster deployment, logging, monitoring, service exposure, image building, lifecycle hooks, CI/CD, multi‑cluster management, encountered challenges, and future plans for operators and automated scaling.
This article provides a comprehensive overview of Prometheus, covering its origins, architecture, step‑by‑step deployment, configuration, web UI usage, as well as its key advantages and limitations for cloud‑native monitoring and operations.
This tutorial provides a beginner-friendly, step-by-step walkthrough for downloading, installing, configuring, and verifying Prometheus, Node Exporter, Alertmanager, and Grafana on a Linux server, including service setup, configuration files, and a simple alert test.
This article recounts 58 Daojia’s four‑year journey from migrating its IDC infrastructure to public cloud, the challenges encountered, and how the team designed and evolved a multi‑generation operations platform that centralizes asset, cost, domain, and monitoring management, ultimately improving efficiency and reducing expenses.
This article compares CPU, memory, disk, and network monitoring metrics between traditional KVM servers and Kubernetes pods, explaining the underlying reasons for differences and offering guidance on interpreting the metrics for effective performance troubleshooting.
This article explains common IO latency problems, introduces how to define and refine IO models, lists disk and network evaluation tools, describes key monitoring metrics, and provides practical tuning methods and case studies for improving storage and network performance.
This article explains how JD Retail built a high‑performance, secure, and observable API gateway that supports massive traffic, implements asynchronous processing for high concurrency, provides fine‑grained traffic control, gray‑release capabilities, and automated operations to serve native, web, and mini‑program clients.
Experienced developers can often identify performance bottlenecks simply by reviewing code implementations, configuration settings such as timeouts, intervals, database and Redis parameters, as well as service monitoring data, container and JVM configurations, allowing them to avoid unnecessary test scripts and code changes.
This tutorial walks you through preparing a CentOS 8 system, installing Zabbix 4.4 and its dependencies, configuring the database and server, and completing the web‑based setup, providing all necessary commands and screenshots for a successful monitoring solution.
This article provides a detailed analysis of Thanos' architecture, explaining each core component—Query, Sidecar, Store Gateway, Ruler, Compact, and the upcoming Receiver—how they enable global view, high availability, and long‑term storage for distributed Prometheus deployments, and discusses design trade‑offs and optimization strategies.
This guide walks through preparing a CentOS 7 host, installing Docker, configuring a Zabbix server and MySQL containers, and optionally using docker‑compose to set up Zabbix components, including the web UI and agent, with detailed commands and volume mappings for persistent monitoring.
