The article explains why the Kubernetes Dashboard has been deprecated due to security and multi‑cluster limitations, and introduces Headlamp as the officially endorsed, lightweight web UI that offers multi‑cluster management, strict RBAC enforcement, and extensible plugins, with simple installation steps.
OpenClaw v3.12 introduces a completely rebuilt Dashboard, a unified Fast Mode switch, a provider‑plugin architecture for easy model integration, extensive security hardening across command execution, permissions and webhooks, plus new iOS/macOS UI upgrades and Kubernetes deployment guides.
This step‑by‑step tutorial shows beginners how to verify Node.js, install OpenClaw on macOS, Linux or Windows with a single command, run the initialization wizard, configure AI models and hooks, and start chatting via a web dashboard or terminal UI, all within ten minutes.
This guide walks you through designing five essential supply‑chain dashboards—order overview, material shortage alerts, production progress, inventory health, and supplier performance—detailing the questions to answer, required data, key metrics, and visual layout recommendations for quick, actionable insights.
By leveraging AI’s ability to parse structured ASCII sketches, developers can replace ambiguous natural‑language UI descriptions with precise visual blueprints, rapidly generate front‑end code for dashboards, iterate layouts, and fine‑tune components, while understanding the method’s benefits, workflow, and limitations.
A curated list of twelve open‑source backend admin platforms, each with repository links, documentation, live demos, and license information, helping developers quickly choose a ready‑made solution for internal enterprise management systems.
This article explains why many factories suffer from blind, fragmented processes, then shows how to design six concrete supply‑chain monitoring dashboards—covering procurement, inventory, production, order delivery, finance, and overall management—to achieve real‑time visibility, clear responsibility, and proactive control.
Kite is a modern, lightweight Kubernetes dashboard built with Go and React that offers real‑time metrics, multi‑cluster support, and enterprise‑grade security, and this guide explains its features, Helm or YAML installation methods, service exposure via LoadBalancer or Ingress, and post‑deployment setup.
This article shows how small and medium‑sized manufacturers can create a zero‑code, data‑integrated supply‑chain visualization dashboard in just two hours, using low‑cost tools that automatically sync orders, inventory, and shipments, improve decision‑making, and eliminate manual data handling.
This guide explains how to leverage Nightingale's table panels for efficient multi‑dimensional monitoring, covering why tables are essential, step‑by‑step setups for single and multiple PromQL queries, overrides, styling options, and advanced data transformations to boost operational insight.
This guide walks you through creating effective Nightingale monitoring dashboards by configuring three common chart types—Metric (Gauge), Pie, and Honeycomb—including step‑by‑step PromQL queries, legend settings, panel options, styling, and advanced configurations to turn raw data into actionable visual insights.
Tired of costly analytics dashboards, this guide showcases nine open‑source Python libraries—including Plotly Dash, Superset API client, Ibis, Lux, Redash‑API‑Py, Kibana‑API, Panel, Evidently, and Metabase‑Py—that let you create, automate, and monitor interactive visualizations and data pipelines for free.
This article dives into advanced Kubernetes troubleshooting techniques, covering persistent volume claim pending errors, event and audit log analysis, dashboard deployment, health probes, temporary containers, and node‑level debugging to help DevOps engineers resolve complex cluster issues efficiently.
This guide walks you through installing Docker Desktop, configuring registry mirrors, running a PowerShell script to preload required images, enabling the built‑in Kubernetes cluster, and accessing the Kubernetes Dashboard, providing a complete solution for quickly setting up a local K8s environment on Windows or macOS.
This guide explains what Grafana variables are, why they act like a dashboard control knob, and provides step‑by‑step instructions with screenshots and JSON examples for creating data‑source, business‑tag, and JSON‑file variables to build interactive monitoring dashboards.
This article walks through building a single‑page tourism dashboard using Vue 3 and ECharts, covering project setup, technology stack, map rendering with geojson, layered map effects, custom numeric fonts, carousel implementation, and future plans for a Node‑based backend management system.
This article details how the vivo Internet Big Data team systematically improved the home‑page performance of their BI data‑visualization platform by analyzing key web metrics, identifying bottlenecks, and applying time‑ and space‑focused optimizations such as HTTP/2 migration, resource preloading adjustments, code splitting, and Web Workers, resulting in a 292% overall speed increase.
This article walks you through installing and using the RocketMQ Dashboard to monitor topics, brokers, producers, consumers, and message details, explains common pitfalls such as client‑ID conflicts in Docker, and demonstrates how to troubleshoot consumption issues, TPS metrics, and dead‑letter handling.
Learn how to design, configure, and deploy a Ceph distributed storage cluster using ceph‑deploy, covering storage fundamentals, Ceph architecture, component roles, network planning, OS preparation, mon, mgr, osd setup, and dashboard activation, with detailed commands and best‑practice recommendations for production environments.
This article provides a comprehensive overview of Ceph distributed storage, covering storage fundamentals, Ceph architecture, advantages, version lifecycle, and step‑by‑step deployment using ceph‑deploy, including environment preparation, monitor and OSD setup, manager configuration, and dashboard activation.
This guide walks you through enabling Kubernetes in Docker Desktop on Windows or macOS, covering prerequisite setup, configuring registry mirrors, loading required images via a PowerShell script, activating the K8s service, and accessing the Kubernetes Dashboard for cluster visualization.
This guide explains what the Kubernetes Dashboard is, outlines its key features, and provides step‑by‑step instructions using Helm to install, access, and secure the dashboard for visual cluster management and monitoring.
This article details how JD Logistics guarantees the stability of its Double 11 supply‑chain dashboard by mapping the entire data‑flow, identifying risk points across ingestion, processing, storage, service, and monitoring layers, and applying targeted technical and organizational safeguards.
This article details how the supply‑chain big‑screen dashboard for Double‑11 maintains high stability by mapping the full data‑flow, identifying risk points across ingestion, processing, storage and service layers, and applying comprehensive technical safeguards such as high‑availability design, fault‑tolerance, monitoring, and coordinated operational procedures.
This article details the end‑to‑end technical and operational measures—including full‑chain flow mapping, risk point analysis, layered mitigation tactics, monitoring, and team coordination—used to guarantee the stability and accuracy of the supply‑chain dashboard during the Double‑11 promotion.
Microsoft’s .NET Aspire 9.1 release adds six new dashboard capabilities, improves user experience, and introduces enhancements like on‑demand resource startup, better Docker integration, and upgraded development container support, offering developers richer monitoring and deployment tools for modern applications.
This article explains how Alibaba Cloud Container Service for Kubernetes (ACK) has upgraded its storage monitoring dashboards to provide detailed visibility into local, PVC, and cloud‑based volumes, enabling users to detect IO bottlenecks, track real‑time read/write performance, and improve overall container reliability.
This article describes how ZhiZhu's quality inspection team introduced a two‑stage data‑point governance framework—initial manual enforcement followed by automated system monitoring, real‑time validation, user‑behavior trees, and dashboards—to dramatically improve data quality, testing efficiency, and issue resolution.
This guide walks you through deploying OceanBase OBProxy and the OceanBase Dashboard on a Kubernetes cluster using yaml manifests, a setup script, and Helm, covering environment requirements, configuration details, verification steps, and access instructions.
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 article presents five key R&D efficiency dashboards—covering requirements, project progress, incidents, risks, and defects—designed for CTOs to monitor software development quality, along with a curated list of further reading on metrics and best practices.
This guide explains how to create a PHP‑based keyword tracking system for WordPress, covering why to track keywords, setting up a custom dashboard widget, storing data in a custom table, fetching rankings via API, and displaying real‑time results on the dashboard.
This article details the design and implementation of a high‑availability, real‑time logistics supply‑chain dashboard, covering Flink‑based data pipelines, ClickHouse OLAP storage, metric consistency, stability measures, extensible configuration, and comprehensive monitoring to ensure accurate, scalable performance during major promotions.
This article presents the design and implementation of a high‑availability, real‑time logistics supply‑chain monitoring dashboard, covering its data processing pipeline with Flink, storage choices between Elasticsearch and ClickHouse, multi‑layer architecture, metric consistency, stability mechanisms, extensibility configurations, and monitoring practices.
The article describes a unified front‑end observability platform that standardizes data‑point collection via a common SDK, automatically generates health and business dashboards, integrates real‑time monitoring and heatmaps, and has been adopted on 140 pages, delivering faster first‑screen loads, lower error and bounce rates, and higher conversion.
This guide walks you through creating a dynamic, real‑time data visualization dashboard—covering design mockups, requirement planning, architecture using Echarts for the front‑end and Java for the back‑end, JSON data handling, deployment without installation, configuration steps, code structure, and source acquisition.
Learn how to install, configure, and connect Kibana with Elasticsearch, explore data using Discover, craft powerful queries with Lucene syntax, create visualizations and dashboards, and monitor your logs—all illustrated with step‑by‑step screenshots and practical tips for effective data analysis.
Learn step-by-step how to download the Kubernetes dashboard YAML, prepare offline images, modify the deployment to use a private registry, configure the API server address, create the service, verify its status, and access the dashboard via a browser, all without RBAC.
This article documents a step‑by‑step exploration of four native HTML/CSS/JS approaches to create an animated circular dashboard gauge on an H5 page, discusses the challenges encountered, and presents a final SVG‑based solution with code examples.
This article explores the design, implementation, and iterative improvement of management dashboards in fast‑moving e‑commerce data operations, covering metric system construction, product interaction, data accuracy, user experience, and common challenges with actionable solutions.
This article presents an in‑depth overview of JD's retail data visualization platform, detailing its product matrix (EasyBI, low‑code platform, JDV), real‑world business use cases, architectural challenges, future development strategies, and a Q&A session that highlights technical and operational insights.
This step‑by‑step tutorial shows how to set up a Kubernetes v1.18.8 cluster on CentOS 8.5 running in Hyper‑V, configure static IPs, unique host and machine IDs, install Docker, kubeadm, kubelet and kubectl, deploy flannel networking, the Kubernetes Dashboard, Metrics Server, Helm, and an NGINX Ingress controller, and includes troubleshooting tips.
This article provides a comprehensive overview of Kubernetes core components, such as Master and Worker nodes, and explains the purpose and usage of various plugins—including network, volume, ingress, DNS, dashboard, heapster, kubelet, and container runtime—along with practical command‑line examples for each.
This article explores how Wuqi integrates AI into its low‑code platform to automate UI generation, logic customization, and data analysis, discusses the DSL‑based architecture, multi‑AI task coordination, and evaluates scenarios where AI enhances efficiency versus when traditional low‑code remains preferable.
This guide walks you through installing Kibana, configuring its connection to Elasticsearch, creating index patterns, using Discover for searches, mastering Lucene‑based query syntax, building visualizations, assembling dashboards, and monitoring logs, all illustrated with clear screenshots and code examples.
This article explains how to use an open‑source CMDB to build customizable dashboards, covering five chart types, multi‑model and multi‑dimensional statistics, CI‑related metrics, and data filtering, with step‑by‑step configuration examples and visual illustrations.
This guide walks through creating a dynamic, theme‑switchable big‑screen dashboard using Echarts on the front end and a lightweight Java backend, covering requirements, architecture, configuration, code structure, and how to obtain the source code.
This article introduces Prometheus and Grafana, guides readers through setting up a monitoring environment for Alluxio—including installing and configuring Prometheus Server, Grafana, and Alluxio data sources—and explains manual dashboard tuning and data export techniques.
This guide explains how to set up Alibaba Cloud Observability Prometheus edition to monitor ClickHouse, covering ClickHouse fundamentals, metric collection, dashboard templates, alert rules, troubleshooting steps, and deployment options for both ACK and ECS environments.
This article presents a complete guide to building a data‑visualization big‑screen dashboard, covering effect screenshots, requirement specifications, overall architecture, development environment setup, JSON library configuration, code structure, startup commands, browser access, and source‑code acquisition.
Grafana 10 introduces a suite of enhancements—including Correlations for cross‑data‑source linking, the Scenes front‑end library for building stunning dashboards, new Canvas, Trends, and Datagrid panels, CSV drag‑and‑drop support, sub‑folder organization, and improved data‑source selection—aimed at boosting analysis, collaboration, and efficiency for monitoring teams.
This article explains why tracking npm package usage in large‑scale frontend projects is challenging, compares three implementation approaches, and details a preferred webpack‑plugin solution that provides a seamless, real‑time dashboard without requiring developers to modify their packages.
This tutorial details how to create a dynamic, real-time updating data visualization dashboard using Echarts for the frontend and a Java Web backend, covering requirement analysis, architecture design, environment setup, code structure, deployment commands, and source code acquisition.
This article demonstrates how to create a dynamic, real‑time data visualization dashboard using the Echarts library on the front end and a Java‑based backend, covering requirements analysis, architecture design, environment setup, code structure, deployment, and source‑code acquisition.
The OpenYurt community announces its UI/CLI Special Interest Group, outlining a roadmap that includes a redesigned dashboard, automated installation, feature integration, and yurtadm enhancements to lower the platform's entry barrier and improve developer experience in edge computing.
This tutorial walks through the complete process of preparing three CentOS 7 nodes, installing ceph‑deploy, configuring storage and network topology, and sequentially deploying monitors, managers, OSDs, MDS, RGW, enabling the Ceph dashboard, performing verification tests, and finally uninstalling the cluster.
This article presents a step‑by‑step technical guide for creating a real‑time, dynamic data‑visualization dashboard using Echarts on the front end and a Java‑based backend, covering design screenshots, requirement analysis, architecture, configuration, code structure, deployment commands, and source‑code acquisition.
This guide walks you through creating a dynamic, real‑time data visualization big‑screen dashboard using Echarts on the front end and a Java‑based backend, covering requirements, architecture, configuration, code structure, and deployment steps.
This tutorial walks you through installing Zabbix server and agent using Docker Compose, configuring MySQL, setting up automatic agent registration, creating custom dashboards, and optionally integrating LDAP authentication, providing all commands and configuration details for a production‑ready monitoring stack.
This article provides a step‑by‑step tutorial on creating a dynamic, real‑time data visualization dashboard using the Echarts front‑end library and a Java Web backend, covering requirements, architecture, configuration, code structure, deployment, and source‑code acquisition.
This guide explains why Grafana is essential for modern monitoring, outlines its key features, and provides a step‑by‑step tutorial for creating and configuring Grafana dashboards on Alibaba Cloud, including service provisioning, data source integration, and panel customization.
This article demonstrates how to create a dynamic, real‑time data visualization dashboard using Echarts on the front‑end and a Java Web backend, covering requirements, architecture, configuration, code structure, deployment, and source‑code acquisition, with screenshots and a Maven dependency example.
This article demonstrates how to create a dynamic, real‑time data visualization dashboard using Echarts on the front end and a Java‑based backend, covering requirements, architecture, configuration, code structure, deployment, and source‑code acquisition.
This article explains the concepts, design of JSON configuration structures, component container patterns, editing side form generation, remote component store integration, static publishing, version management, and inter‑component communication for constructing a data dashboard platform using modern frontend technologies.
This article introduces AJ-Report, an open‑source drag‑and‑drop visual design tool built with Spring Boot and Vue, walks through its technology stack, shows how to clone the repository, set up backend and frontend environments, and demonstrates creating dashboards with multiple data sources.
This comprehensive guide explains Ceph's background, architecture, key features, terminology, step‑by‑step cluster deployment on CentOS, dashboard setup, CephFS creation, and a Java client example, providing everything needed to build and operate a reliable distributed storage system.
This article explains the motivation, architecture, technology stack, adaptive layout techniques, component development workflow, drag‑and‑drop enhancements, and real‑time state management used to build a low‑code, front‑end‑focused big‑screen data visualization platform.
This article presents a step‑by‑step tutorial for creating a dynamic, real‑time data visualization dashboard using Echarts on the front end and a Java Web backend, covering design, deployment, architecture, configuration, code structure, and source acquisition.
This case study details the redesign of an unmanned vehicle monitoring interface, outlining project background, analysis of user challenges, brand and visual upgrades, adaptive layout strategies, and efficiency improvements that reduced vehicle handling time by 20% while enhancing user comfort and operational workflow.
An open‑source BI platform built on SpringBoot and Vue offers a visually striking, drag‑and‑drop dashboard editor, supporting multiple data sources like MySQL, Elasticsearch, and Kudu, with 17 ready‑made components, enabling rapid screen design through simple steps of data source configuration, SQL dataset creation, and layout assembly.
This comprehensive tutorial walks through preparing multiple Linux nodes, installing Docker and containerd, setting up kubeadm, kubelet and kubectl, initializing a HA Kubernetes control plane, configuring Flannel networking, deploying the Kubernetes dashboard, installing Nginx + Keepalived for load balancing, setting up NFS with rsync, provisioning storage via Helm, and finally installing a secure Harbor image registry, all with detailed commands and configuration snippets.
This tutorial shows how the QQ Live frontend team integrated Tencent Cloud RUM and used Grafana to create a monitoring dashboard, covering data source setup, plugin installation, panel selection and configuration, advanced features like thresholds and variables, and in‑Grafana transformations for flexible frontend performance observability.
This guide demonstrates how to create a dynamic, real‑time data visualization dashboard using Echarts for the frontend and a Java‑based backend, covering requirement analysis, architecture design, environment setup, code structure, and deployment instructions.
The paper presents a low‑code, schema‑driven big‑screen visualization platform built with React, ECharts, D3 and related libraries, detailing its four‑module architecture, adaptive layout techniques, reusable component workflow, drag‑and‑drop enhancements, and WebSocket‑based state management, and outlines future extensions such as a component marketplace and 3D rendering.
This step‑by‑step guide shows how to prepare three CentOS 7 nodes, install containerd, configure system settings, deploy kubeadm/kubelet/kubectl, initialize a Kubernetes v1.22.1 control plane, add worker nodes, install the flannel CNI plugin, set up the Dashboard, and clean up the environment.
Ctrip’s internal Dashboard monitoring platform, originally built on HBase, was redesigned by migrating its core writer and storage components to a hybrid VictoriaMetrics‑ClickHouse solution, delivering faster queries, higher write stability, and full Prometheus compatibility while keeping the user experience unchanged.
This article presents a step‑by‑step guide to creating a real‑time data‑visualization dashboard using Echarts on the front end and a Java Web backend, covering requirement analysis, architecture design, environment setup, code structure, deployment, and how to obtain the source code.
Datav, Shopee’s internal low‑code data‑visualization platform, automates dashboard creation by providing a DSL‑driven designer, reusable chart components, and auto‑generated SQL, cutting project cycles from roughly 40 to 20 days and front‑end effort from ten to three person‑days while streamlining data‑source integration and permission management.
Grafana 9.0 focuses on improving user experience for observability and data visualization, introducing visual Prometheus and Loki query builders, an Explore‑to‑dashboard workflow, a revamped heatmap panel, command palette, panel search, trace panels, navigation upgrades, and enhanced alerting, all aimed at making data discovery and investigation more intuitive and efficient.
Grafana 9.0 introduces a suite of usability enhancements—including a visual Prometheus query builder, a visual Loki LogQL generator, improved Explore‑to‑dashboard workflow, revamped heatmap panel, command palette, panel search, trace panel, navigation upgrades, and alerting refinements—aimed at simplifying observability, data visualization, and operational efficiency.
Grafana 9.0 introduces a suite of usability enhancements—including visual Prometheus and Loki query builders, an Explore‑to‑dashboard workflow, a high‑performance heatmap panel, command‑palette navigation, and improved alerting—making data exploration, visualization, and monitoring more intuitive for developers and operators.
This guide walks you through installing Kibana, configuring its connection to Elasticsearch, exploring data with Discover, crafting queries using Lucene and DSL, creating visualizations and dashboards, and monitoring cluster health, providing step‑by‑step instructions, screenshots, and practical tips for effective data analysis.
Learn how to install Kibana, connect it to Elasticsearch, configure index patterns, explore data with Discover, craft queries using Lucene syntax, create visualizations and dashboards, and monitor your stack, all with step‑by‑step guidance and practical examples.
This guide walks through designing a layout, configuring a Change node, creating a JSON payload, crafting an HTML template with Handlebars, deploying the flow, and accessing the generated page at http://127.0.0.1:1880/data, all within Node-RED.
The article describes a real‑time customer‑service dashboard built on Flink for streaming MySQL changes captured via Kafka, which cleans and aggregates ~60 operational metrics before writing them to ClickHouse’s MergeTree/ReplacingMergeTree tables, enabling sub‑second queries and exactly‑once guarantees while separating offline and live pipelines.
Learn how to install Rancher Desktop on Windows, use WSL and PowerShell to create a one‑node Kubernetes cluster, deploy an Nginx app, and manage it via the Kubernetes Dashboard, offering a simpler alternative to Minikube for local development.
Discover nine high‑quality, open‑source admin dashboard templates—including vue‑element‑admin, D2Admin, Vue‑admin‑better, AdminLTE, Ant Design Pro, Tabler, ngx‑admin, Gentelella, and blur‑admin—each with brief descriptions, key features, and links to demos and repositories, helping developers quickly build attractive backend interfaces.
This guide walks through installing the open‑source cloud‑native storage orchestrator Rook, creating a Ceph cluster on a Kubernetes environment, configuring the Ceph dashboard, deploying the Rook toolbox, and setting up a StorageClass with RBD block storage, including troubleshooting tips and essential commands.
This tutorial walks you through creating a fully interactive sales‑data dashboard using Python's Pandas for data handling, Plotly for visualizations, and Streamlit to assemble a sleek web interface, covering data import, sidebar filters, key metrics, charts, and deployment steps.
This tutorial explains how to create and configure Grafana Stat panels—including text and background modes, threshold‑based coloring, unit settings, and Markdown/HTML text panels—to visualize metrics such as node uptime, CPU cores, and total memory on a dashboard.
This comprehensive tutorial walks through preparing a CentOS 7 host, configuring hostnames, disabling swap and firewalls, installing Docker and Kubernetes components with kubeadm, setting up the master and worker nodes, deploying the flannel network plugin, testing with nginx, and installing the Kubernetes dashboard, all with detailed commands and troubleshooting tips.
This tutorial walks through preparing three CentOS 7.6 nodes, installing and configuring containerd, setting up kubeadm, kubelet, and kubectl, initializing a Kubernetes v1.22.1 control plane, adding worker nodes, deploying the Flannel CNI plugin, installing the Kubernetes Dashboard, and providing cleanup commands, all with detailed commands and configuration files.
This tutorial walks through preparing three CentOS 7.6 nodes, disabling firewalls and SELinux, configuring sysctl and ipvs, installing containerd and its dependencies, generating containerd and kubeadm configurations, initializing the control plane, adding worker nodes, deploying the Flannel CNI plugin and Kubernetes Dashboard, and finally cleaning up the cluster.
This article introduces Grafana v8.1’s Geomap panel, detailing its multiple base‑layer options, enhanced custom markers, heatmap layer, flexible data‑layer mappings, and a new sharing feature that lets several map panels synchronize on a single dashboard.
This article presents the Future Cloud Business Monitoring real-time dashboard solution, detailing its technical architecture, key challenges in massive log processing, storage choices, product considerations, experience sharing, future plans, and concrete case studies such as live classroom monitoring.
This guide walks through creating the necessary Kubernetes resources with a recommended YAML file, applying it, exposing the dashboard via NodePort, generating a service account and token, and finally accessing the dashboard through a browser for cluster monitoring and management.
This article walks through the complete process of creating a high‑impact visual dashboard for large‑screen displays using FineReport, covering tool selection, data preparation, report creation, design, visual polishing, and adding dynamic effects.
Grafana 8.0 introduces a major overhaul of its alerting system, new visualizations such as state timeline, history and histogram panels, reusable library panels, fine‑grained access control, real‑time streaming, enhanced Loki log navigation, and expanded tracing support, all aimed at faster, more flexible observability.
This article walks you through creating impressive big‑screen visual dashboards using FineReport, covering tool selection, data preparation, decision‑report setup, dataset creation, layout design, visual polishing, dynamic effects, and final preview to help you deliver compelling data visualizations efficiently.
This guide provides a comprehensive walkthrough of Kibana, covering installation, connection to Elasticsearch, data discovery, query syntax, visualizations, dashboards, and monitoring, with step‑by‑step instructions and screenshots to help users effectively explore and visualize their Elasticsearch data.
