A curated collection of ready‑to‑use Bash scripts that help you monitor MySQL replication, track directory changes, batch‑create users, detect website issues, execute remote commands, deploy LNMP stacks, check server resource usage, identify high‑load processes, and automate Java or PHP project releases.
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 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 the role of an operations (运维) engineer, covering daily responsibilities, essential knowledge such as Linux and networking, common monitoring tools, and emerging career paths like DevOps, AIOps, and SRE, helping newcomers understand how to start and grow in the field.
This comprehensive guide walks you through Zabbix monitoring concepts, reliability calculations, installation methods, web UI configuration, host and template management, custom monitoring, alert integration with OneAlert, Grafana visualization, distributed monitoring, SNMP support, and practical scripts for large‑scale server environments.
This article explains why traditional manual responses to alerts are insufficient, outlines the concept of fault self‑healing, and provides a step‑by‑step guide on establishing standards, monitoring dimensions, a unified CMDB, automation tools, and notification channels to achieve automated recovery at scale.
This article explains how to build a comprehensive monitoring system using the concise USE (Utilization, Saturation, Errors) method, outlines key system and application metrics, and demonstrates practical implementation with Prometheus, Grafana, full‑link tracing, and ELK for observability and performance troubleshooting.
This guide explains why Loki is a lightweight alternative to EFK/ELK, walks through installing Loki and Promtail binaries, configuring them with YAML files, and visualizing logs in Grafana using LogQL, providing a complete end‑to‑end log management solution.
This article details Dada Group’s implementation of an intelligent elastic scaling architecture that automatically adjusts capacity during peak promotions and low‑traffic periods, improving delivery reliability, reducing costs, and supporting multi‑cloud and multi‑runtime environments through sophisticated monitoring and auto‑scaler mechanisms.
In this talk, Tencent’s infrastructure lead explains how their team created an AI‑driven, three‑minute fault detection and recovery pipeline—combining high‑precision Meshping monitoring, multi‑KPI analytics, and automated Moveout isolation—to dramatically shorten network outage resolution from hours to minutes.
This article summarizes the design and evolution of a MySQL cloud DBaaS platform, covering MySQL 8.0 features, the need for DBaaS, multi‑generation architecture, service and data availability strategies, monitoring, DTS design, and upcoming roadmap for broader database support and hybrid cloud deployment.
This article explains how Alibaba’s Sunfire monitoring platform processes terabytes of logs per minute, uses a pull‑based architecture with Brain‑Reduce‑Map roles, tackles scalability and reliability challenges, and outlines future directions such as MQL standardization and intelligent baselines.
This guide explains how to monitor Longhorn storage in Kubernetes by collecting metrics with Prometheus, configuring scraping, verifying data collection, and visualizing everything in Grafana, enabling proactive performance tuning and reliable operations.
This guide explains how to store Kubernetes event data in Elasticsearch, configure Logstash and Ruby filters for timestamp correction, and create a Grafana dashboard to visualize and analyze cluster events for improved monitoring and troubleshooting.
Learn step‑by‑step how to deploy the Elasticsearch‑exporter via Helm, configure Prometheus to scrape its metrics, and visualize them in Grafana, enabling comprehensive monitoring of Elasticsearch clusters for performance, health, and early issue detection in Kubernetes environments.
This guide shows how to enable Nacos metrics, configure Prometheus to scrape them, and visualize the data with a Grafana dashboard, providing a centralized view across different departments for enterprise monitoring and decision‑making.
This article explains what Redis hotspot keys are, the performance and stability issues they cause, common causes, how to monitor and identify them, and practical mitigation strategies such as cluster scaling, key sharding, and multi‑level caching.
This article provides a systematic overview of monitoring fundamentals, compares three popular open‑source monitoring solutions—Zabbix, Open‑Falcon, and Prometheus—and offers practical guidance for selecting the most suitable system based on scale, features, and operational needs.
This article explains why high‑availability design and comprehensive monitoring are essential for modern big‑data platforms, outlines a layered architecture, and provides practical guidance on health checks, alerting, and data‑quality monitoring across storage, compute, scheduling, and service layers.
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.