An operations engineer narrates how he monitors a four‑node Redis cluster, detects master failure with continuous PINGs, promotes a slave to master, reconfigures replicas, and automates the entire process with a sentinel program and a sentinel cluster for high availability.
This article outlines the golden rules for constructing Spring Boot microservices, covering monitoring with Spring Boot Admin and Grafana, exposing metrics via Actuator, centralized logging with ELK, clear API documentation using Swagger, YApi or smart‑doc, transparent build info, and keeping dependencies up‑to‑date.
This article explains how ByteDance’s DataLeap platform tackles diverse data quality challenges across batch and streaming pipelines by defining quality dimensions, outlining a modular architecture, and sharing best‑practice optimizations for Spark, Flink and Presto‑based monitoring.
This article explains how to standardize and automate MySQL operations—including multi‑instance deployment, metadata collection, monitoring, backup, and high‑availability using Zookeeper—so that large‑scale database services can be provisioned, managed, and scaled with minimal human intervention.
This article shares Health160's systematic approach to building a high‑performance, high‑availability medical service platform, covering monitoring, metric design, flow‑control, idempotency, unknown data handling, optimization case studies, architectural choices, NIO networking, middleware tuning, and caching techniques.
This article walks through Flink's metric system by explaining the core interfaces such as MetricReporter and MetricRegistry, showing how metrics are added, registered, and queried during TaskManager startup, and detailing both REST and Prometheus approaches for retrieving metric values.
This article presents a comprehensive case study of a business monitoring system, covering its background, architectural analysis, module design, time‑series database selection, visualization with Grafana, alerting strategies, decision‑making logic, and intelligent monitoring experiments, followed by key takeaways and lessons learned.
This article details a four‑stage migration project that rebuilt international services on a cloud‑native stack, introducing temporary Istio monitoring, standardized change processes, Helm‑based deployments, and full microservice integration while sharing practical quality‑assurance lessons and pitfalls.
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.
KubeDoor 1.0 introduces a new architecture for unified multi‑Kubernetes monitoring, offering components for master and agent, flexible deployment options, Helm‑based installation, configurable storage and alerting settings, and detailed guidance on integrating with existing Prometheus/VictoriaMetrics setups while providing automatic peak‑usage data collection.
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 explains the G1 garbage collector’s heap layout, collection cycles, pause prediction, log analysis, and monitoring tools, helping Java developers diagnose and resolve performance issues such as frequent restarts, OOM, CPU spikes, and periodic latency spikes.
This guide walks through installing OpenTelemetry Collector on a Kubernetes cluster using Helm, configuring DaemonSet and Deployment collectors, integrating Prometheus for metrics, and customizing receivers, processors, and exporters to achieve comprehensive observability of nodes, pods, containers, and cluster resources.
This article explains why alert fatigue harms on‑call teams in Kubernetes environments and offers eight practical techniques—ranging from metric definition to alert suppression—to reduce noise, improve response efficiency, and protect team well‑being.
Drawing from three and a half years of operations experience, this guide outlines practical online operation standards, data protection strategies, security measures, daily monitoring, performance tuning tips, and the right mindset to avoid costly incidents and ensure stable, secure systems.
This talk explains why observability is essential for cloud‑native IT systems, covering its core value of empowerment, various definitions, evaluation criteria such as zero‑intrusion, multidimensionality and real‑time response, and practical building approaches using SaaS, open‑source and integration, illustrated with numerous industry case studies.
This guide explains what vmagent is, its key features, and provides step‑by‑step instructions to install, configure, and verify vmagent on a Kubernetes cluster, including namespace and RBAC setup, custom scrape configs, monitoring endpoints, and troubleshooting tips.
This article introduces VictoriaMetrics, a fast and cost‑effective time‑series monitoring solution that can replace Prometheus, covering its definition, key features, core components, and essential installation considerations for both binary and Kubernetes deployments.
After integrating Kubernetes into Probius, this guide shows how to pull pod metrics from Prometheus using the query_range API, process them with a Python client, and visualize CPU, memory, bandwidth, and IOPS data in Probius via ECharts, completing a seamless container‑monitoring feature.
This article explains how Prometheus relabeling works, covering rule actions, hidden metadata labels, label mapping, sharding, and practical examples for filtering targets, modifying labels, and optimizing metric storage in monitoring pipelines.