This article explains the concept of end‑state‑oriented monitoring, its significance for modern operations, the shortcomings of existing solutions, and a layered design approach that leverages real‑time data, service catalogs, and AI to achieve secure, stable, efficient, and low‑cost operations.
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 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.
This article walks through setting up a production‑grade MySQL monitoring solution using Prometheus and Grafana, covering exporter installation, MySQL user configuration, systemd service setup, Prometheus job definition, key MySQL performance metrics, and basic alerting rules.
This article details Xiaomi's implementation of a highly available, persistent, and dynamically scalable Kubernetes monitoring system, covering challenges, architecture choices, Prometheus federation, performance testing, and future enhancements for cloud‑native observability.
This article explains why modern services depend on highly available, scalable monitoring, outlines a systematic way to assess and improve monitoring capabilities using open‑source tools and the DevOps Capability Maturity Model, and details concrete improvement points across data collection, management, and application.
This article compares Prometheus with Zabbix, walks through downloading and installing Prometheus, explains the key sections of prometheus.yml, shows how to add a node_exporter for machine metrics, and demonstrates integrating Grafana to create rich monitoring dashboards.
This guide explains why monitoring is essential, describes the concept of availability "X nines," walks through Zabbix installation, web interface setup, host and template configuration, custom monitoring, alerting with OneAlert, visualization, distributed monitoring, SNMP integration, and provides practical command examples for managing large server fleets.
This article explains why monitoring is essential for operations, reviews popular monitoring tools such as Cacti, Nagios, Zabbix, Ganglia, Centreon, Prometheus and Grafana, outlines a six‑layer unified monitoring platform architecture, offers selection guidance for different enterprise sizes, and shares evolution lessons from small to large scale deployments.
This article outlines how Ping An’s IT operations team systematically prepares for high‑traffic business events—detailing service assessment, architecture mapping, configuration audits, monitoring design, capacity planning, stress testing, and coordinated incident response—to guarantee reliability and performance under massive concurrent loads.
The article explores how the advent of 5G reshapes operational demands, introduces a technical operations platform that unifies business and network domains, details practical implementations such as CMDB, monitoring, automation, and AIOps, and outlines future directions for intelligent, agile operations.
This article examines Baidu’s Noah monitoring and alarm platform, detailing its end‑to‑end fault‑handling workflow, the three‑component architecture, and the practical challenges of deploying AIOps—such as long algorithm iteration cycles, complex alarm management, and alarm storms—while highlighting scalability and commercial considerations.
This article explores the evolving landscape of IT operations, detailing role specializations, comprehensive skill maps for system, web, big data, and container ops, and compares three ELK logging architectures while emphasizing a data‑driven approach to monitoring and incident response.
BigBrother is a TCP‑based, full‑link, large‑scale network connectivity detection system that uses packet coloring and GRE mirroring to automatically locate virtual network faults across public, hybrid, and physical clouds, dramatically reducing troubleshooting time and supporting high‑concurrency tasks.
This article shares a practical case study of implementing AIOps in an online‑education company, covering the background pain points of massive monitoring data, the designed architecture with real‑time processing and machine‑learning pipelines, and the challenges and opportunities of intelligent operations.
This article explains how Meituan‑Dianping built the CAT platform to provide both user‑side and server‑side real‑time monitoring at trillion‑event scale, detailing its metrics, architecture evolution, storage strategies, and open‑source contributions.
This article details the design, architecture, and AI‑driven features of 58’s intelligent monitoring platform, explaining how multi‑dimensional data collection, predictive analytics, and smart alarm merging ensure continuous, automated observability across network, server, application, and business layers.
In this talk, SF Express’s tech leader shares how the company digitized its logistics, unified goals across teams, streamlined processes, built resilient infrastructure, and leveraged monitoring and gray‑release strategies to sustain explosive growth while reducing costs and improving service quality.
This talk shares China Mobile Online Service’s journey of building a nationwide, software‑defined monitoring platform, detailing the shift from legacy PBX systems to open‑source tools, the challenges of scaling to millions of metrics, and how AI‑driven AIOps is used to automate, compress, and intelligently alert on massive operational data.
This article explains the challenges of modern large‑scale operations, introduces the end‑state architectural principle, details the system components and safety model, discusses real‑world deployment issues, and looks ahead to future AIOps possibilities, offering practical guidance for building resilient operation platforms.