Learn 25 practical Linux performance tuning techniques—from adjusting kernel parameters like swappiness and ulimit to optimizing I/O schedulers, network buffers, and enabling HugePages—each with clear commands and step‑by‑step instructions to help you maximize system responsiveness and throughput.
Effective operations management acknowledges inevitable downtime, emphasizes automation, prioritizes proactive prevention, treats technology as a means rather than an end, integrates closely with development through DevOps, relies on strong communication, and continuously addresses pervasive security challenges to minimize business impact.
This article details how a solo engineer built and operated a SaaS platform on AWS using Kubernetes, covering infrastructure overview, automatic DNS, TLS, load balancing, CI/CD rollouts, autoscaling, caching, secret management, monitoring, logging, error tracking, and cost‑effective operations.
This article introduces ten essential tools for operations engineers—Shell scripts, Git, Ansible, Prometheus, Grafana, Docker, Kubernetes, Nginx, ELK Stack, and Zabbix—detailing each tool's functionality, typical scenarios, advantages, and real‑world examples with code snippets for practical automation and monitoring.
This guide outlines the ten core tool categories—from Linux basics and networking services to scripting, firewalls, monitoring, clustering, and backup—that a Linux operations engineer should master to become an effective sysadmin.
This article shares a ready‑to‑run Oracle SQL*Plus script that lists active sessions with details such as instance ID, username, execution time, SQL text snippet, current event, and wait seconds, plus an example output for immediate performance troubleshooting.
This article explores the DevOps mindset, its core principles such as collaboration, automation, continuous improvement, and customer focus, outlines essential practices like CI/CD, IaC, monitoring, microservices, and provides a step‑by‑step adoption roadmap illustrated with a detailed case study and future trends.
The article outlines the key competencies a DevOps engineer must master—including programming, Linux system knowledge, configuration management, infrastructure-as-code, CI/CD tools, networking and security, monitoring, and cloud services—to guide readers on building a comprehensive skill set for effective DevOps practice.
The article explains the design and implementation of the Serverless Application Engine (SAE) Event Center, highlighting its cloud‑native architecture, the distinction from traditional monitoring, challenges like data explosion and full GC, and the distributed‑cache solution that enables efficient real‑time event aggregation, notification, and future AI‑driven diagnostics.
This article explains how to build real-time monitoring applications using PHP and the WebSocket protocol, covering the fundamentals of WebSocket, setting up a Ratchet server, creating client-side JavaScript connections, and providing complete code examples such as a stock price monitor.
The article clarifies that DevOps is not defined by specific tools like Kubernetes or Jenkins, but by the ability to design robust systems that ensure smooth deployments, effortless scaling, reliable operation, early issue detection, and effective team collaboration, emphasizing enduring principles over changing technologies.
When a Linux server shows performance issues, the first minute is critical; this guide walks you through ten standard command‑line tools—uptime, dmesg, vmstat, mpstat, pidstat, iostat, free, sar, and top—explaining what each metric means and how to interpret the output for quick troubleshooting.
Bilibili rebuilt its monitoring platform to handle explosive metric growth by separating collection, storage, and compute, adopting VictoriaMetrics, zone‑based scheduling, and Flink‑driven pre‑aggregation, which together improved stability, query performance, cloud data quality, and overall observability.
This article details the design and deployment of an intelligent alert attribution system for Ctrip Hotel's front‑end, describing the background challenges, the unified data pool, weighted alert rules, three attribution algorithms, achieved improvements in accuracy and troubleshooting speed, and future enhancement plans.
This guide explains how to optimize Nginx settings and adjust Linux kernel parameters—such as worker processes, connection limits, caching, HTTP/2, rate limiting, and TCP tweaks—to reliably handle massive traffic spikes while maintaining high availability and performance.
This guide explains how to systematically diagnose Linux performance issues using tools such as top, vmstat, perf, and flame graphs, covering CPU, memory, disk I/O, network, and load analysis, and demonstrates a real-world nginx case study with step‑by‑step commands and visualizations.
This guide walks through exposing the nginx‑ingress metrics port, configuring static scrape jobs, and using a ServiceMonitor CRD to dynamically collect ingress metrics with Prometheus in a Kubernetes cluster, including all required YAML snippets and verification steps.
This article explains how Bilibili designed and implemented an Emergency Response Center (ERC) to manage the full fault lifecycle—detection, response, delimitation, localization, mitigation and recovery—using alert rules, automated recall, integrated customer feedback, clear role assignments, mobile support, and data‑driven post‑mortems, ultimately reducing MTTR and improving service reliability.
This article provides a comprehensive guide to Python's standard libraries for Linux, covering file and directory manipulation, process control, socket networking, system information retrieval, date and time handling, logging, file monitoring, compression, and environment variable management with clear code examples.
This article presents a collection of practical Bash scripts that cover file consistency checks, scheduled log management, network traffic monitoring, numeric analysis, FTP downloads, user input handling, Nginx 502 detection, variable assignments, bulk file renaming, text processing, port scanning, word filtering, command menus, SSH automation with Expect, user creation, Apache monitoring, password rotation, iptables rate‑limiting, and IP validation, providing sysadmins with ready‑to‑use solutions for everyday Linux operations.
The article details Bilibili's evolution of its monitoring platform, describing the stability and performance challenges of a Prometheus‑Thanos stack, the redesign using VictoriaMetrics, collection‑storage separation, unit‑level disaster recovery, query‑tree auto‑replacement, Flink‑based pre‑aggregation, Grafana upgrades, and future roadmap for observability.
This guide walks you through setting up a full Prometheus monitoring solution with Exporters, Alertmanager, and Grafana using Docker containers, covering component roles, configuration files, and visualizing host and container metrics on two sample hosts.
This article presents practical techniques for improving Prometheus performance in cloud‑native environments, covering storage retention, block size, scrape intervals, label reduction, query optimization, sharding, high‑availability setups, and alert rule simplification.
Pinterest’s performance program details how the team defines custom Pinner Wait Time metrics, uses real‑user monitoring and fine‑grained alerts to detect regressions quickly, and follows structured root‑cause analysis and ownership processes to prevent performance degradation across web surfaces.
This article explains how to integrate JD's JADE dynamic thread‑pool component with the Wanxiang visualization platform, covering Maven dependencies, configuration files, Spring bean setup, thread‑pool creation, runtime monitoring, underlying source‑code principles, and common pitfalls for stable backend services.
This article compiles ten practical operations‑engineer guidelines—ranging from change rollbacks and safe command aliases to backup verification, monitoring, and cautious automated failover—to help maintain high availability and avoid costly production incidents.
This guide outlines essential strategies to improve release quality in R&D, covering strict testing processes, automated CI/CD pipelines, containerization, real‑time monitoring, alert mechanisms, and feedback loops, while also defining key evaluation metrics and practical steps for effective management of these indicators.
This article demonstrates how to install the prometheus_api_client library, fetch time‑series data from Prometheus with Python, process it using pandas, and create interactive visualizations with Plotly, providing a complete workflow from data collection to insight generation.
Learn how to integrate the open‑source DynamicTp framework into Spring Boot 2.7, configure its core parameters, enable real‑time monitoring, alerts, and Nacos‑based dynamic adjustments, while exploring code examples, dependency setup, and practical usage for robust thread‑pool management.
This article explains what a dynamic thread pool is, why it is needed, how to modify its core parameters at runtime, how to monitor and expose its metrics, and lists open‑source implementations and visualization/alerting options such as Prometheus, Grafana, Hippo4j and Dynamic TP.
The article explains what a dynamic thread pool is, why static pools are problematic, how to modify core parameters such as corePoolSize, maximumPoolSize, and workQueue at runtime, and provides code examples for monitoring, exposing metrics via Spring Boot Actuator, and integrating with Prometheus‑Grafana, while also listing open‑source implementations like Hippo4j and Dynamic TP.
This article examines the migration from Thanos to VictoriaMetrics for large‑scale metric storage, detailing background challenges, VictoriaMetrics architecture and storage engine, data write and read processes, and a comparative analysis of performance, scalability, and operational costs between the two systems.
The article introduces three official Grafana dashboards—Indexer, Searcher, and Metastore—for monitoring Quickwit clusters, provides direct JSON links, shows example screenshots, and explains that they rely on Prometheus metrics collected from Quickwit.
This article explains the node‑exporter conntrack plugin, the metrics it exposes, how to interpret them, set alert thresholds, and the underlying Go collector code that reads Linux proc files to monitor conntrack table usage in firewall or NAT environments.
OPPO transformed its sprawling, manually‑provisioned middleware clusters into a cloud‑native, containerized platform by building custom Kubernetes controllers, IP‑preserving StatefulSets, resource‑isolated containers, automated monitoring and self‑healing workflows, enabling rapid provisioning, efficient utilization, fault‑tolerant scaling and future serverless and service‑mesh integration.
This article walks through a complete, step‑by‑step solution for collecting Nginx access logs, converting them to JSON, shipping them with Promtail to Loki, and visualizing the data in Grafana, including Docker deployment, dashboard import, and world‑map plugin installation.
This article explains the concept of JavaAgent, its underlying mechanism using the JVM instrumentation API, and provides a step‑by‑step guide with code samples to build a JavaAgent that measures method execution time in a Spring application.
This article explains the motivations for upgrading to JDK21, introduces Generational ZGC, details integration steps and monitoring setup, presents performance test results comparing ZGC and Generational ZGC, and outlines future plans for Java services at Zhaozhuan.
This article provides a comprehensive overview of Prometheus, covering its architecture, suitable and unsuitable use cases, data model with TSDB and WAL, metric types, PromQL query language, and practical examples for monitoring CPU, memory, and disk usage in Kubernetes environments.
Shadow testing is a parallel deployment strategy that minimizes the risk of system changes, safeguards user experience, validates performance and data integrity, and provides a controlled environment for comprehensive testing, supported by a suite of modern tools and real‑world case studies.
This article provides a step‑by‑step tutorial on what Grafana is, its common monitoring scenarios, how to install it on Linux, Windows, macOS or via Docker, configure data sources such as Prometheus, and create or import dashboards for system and business metric visualization.
This guide walks through installing Prometheus on a Kubernetes cluster, customizing alert rules, handling service exposure, and diagnosing common Alertmanager connection issues by inspecting CoreDNS and CNI configurations, offering practical solutions for reliable cloud‑native monitoring.
This article shares ten practical operations strategies—including change rollbacks, safe handling of destructive commands, prompt customization, rigorous backup and verification, production environment discipline, careful handovers, robust alerting, cautious automatic failover, meticulous checks, and simplicity—to dramatically improve system reliability and availability.
This article shares engineering insights from Hema’s AI smart customer service deployment, detailing key stability factors for AI agents—including hallucination mitigation, memory integration, RAG enhancement, exception handling, and comprehensive monitoring—to improve reliability and performance in real‑world e‑commerce chatbot scenarios.
This article details how to construct a log‑monitoring platform using the ELK stack, Kafka buffering, and a Python scheduler to collect, process, and alert on error logs, offering practical configuration tips and performance optimizations for production environments.
This article outlines the essential components and design considerations for creating a distributed task scheduling platform, covering triggers, scheduling strategies, executors, task chains, circuit breakers, exception handling, blocking control, service discovery, monitoring, and a management console.
This article explains how modern frontend applications use comprehensive monitoring, real‑time alerts, performance metrics, custom reporting, and scheduled inspections to maintain system stability, improve user experience, and proactively address errors across web, mini‑program, and native platforms.
This article describes how a large enterprise front‑end team implements real‑time monitoring, scheduled inspections, alert strategies, performance metrics, error handling, custom reporting, and mobile/native monitoring to ensure system stability, improve user experience, and continuously optimize application performance.
This comprehensive guide to backend development explains essential system and architecture design principles, networking strategies, fault and exception handling, monitoring and alerting, service governance, testing methodologies, and deployment practices, offering best‑practice advice and highlighting common pitfalls for building reliable, scalable internet services.
This article explains how to deploy Blackbox Exporter in multiple data centers, configure Prometheus to scrape region‑specific HTTP metrics for a target website, validate the setup via queries, and add alerting rules to detect latency or downtime, providing a self‑hosted monitoring solution.
This tutorial shows how to instrument Spring Boot APIs using Actuator, a custom @Monitor annotation with AOP, and Prometheus to collect and visualize method execution times, providing a complete end‑to‑end monitoring solution.
This article details how Bilibili redesigned its monitoring system to overcome explosive metric growth by separating collection and storage, adopting VictoriaMetrics, implementing zone‑based scheduling, automating PromQL query replacement, and using Flink for efficient pre‑aggregation, resulting in dramatically lower latency and higher stability.
The new Monitoring 2.0 architecture separates collection, compute and storage, adopts VictoriaMetrics for compact time‑series storage and a zone‑based scheduler, introduces push‑based ingestion, uses Flink for real‑time pre‑aggregation and automatic PromQL rewrite, delivering ten‑fold query speedups, sub‑300 ms p90 latency, and dramatically higher write and query throughput.
Before launching costly observability initiatives, ensure your monitoring is comprehensive and efficient, covering business, application, component, resource, network, and endpoint metrics, and that you have the data collection, storage, alerting, and event‑distribution capabilities to turn raw signals into actionable insights.
This article explains how modern front‑end teams ensure system stability and high‑quality operation by implementing comprehensive monitoring and automated inspection, covering background, significance, architecture, real‑time and scheduled checks, performance metrics, alert strategies, error handling, custom reporting, and future improvement plans.
This article describes how to use Grafana's Flowcharting plugin and Prometheus metrics to create a dynamic, interactive dashboard that visualizes each logical node of a push notification pipeline, enabling rapid trace‑ID based troubleshooting and reducing manual investigation effort.
This guide outlines a comprehensive, automated strategy for operating more than ten thousand network devices, covering asset documentation, topology planning, unified monitoring, automation scripts, emergency response, security management, regular maintenance, staff training, and visual management tools.
This article presents a Bash script that gathers comprehensive Linux system metrics—including CPU core count, utilization percentages, context switches, interrupts, load averages, memory and swap usage, and disk I/O statistics—explaining each command and its purpose for effective server monitoring.
This article introduces ten indispensable tools for operations engineers, detailing each tool's functionality, ideal use cases, key advantages, and practical examples, while also providing code snippets and visual illustrations to help readers understand and apply them effectively.
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 walks through eleven practical methods—such as adding proper indexes, optimizing SQL, parallelizing remote calls, eliminating duplicate queries, using async processing, shrinking transaction scope, refining lock granularity, applying pagination, leveraging caching layers, and employing sharding and monitoring tools—to dramatically improve backend interface performance.
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.
