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.
This guide walks through preparing three CentOS 7.6 servers, configuring system settings, installing Docker and Kubernetes components, initializing the master node, deploying a pod network, adding worker nodes, and setting up the Kubernetes dashboard, providing all necessary commands and troubleshooting tips.
This tutorial walks you through creating, debugging, and publishing a San CLI UI dashboard widget, covering project scaffolding, essential configuration files, API usage for registering addons and widgets, local testing steps, and final package release.
This article explores the design and implementation of JD's 11.11 data‑center visualization screen, detailing its storytelling approach, 3D integration, step‑by‑step creation process, and the use of tools like ECharts to turn massive traffic data into an engaging, real‑time dashboard.
This article explains Meitu's monitoring architecture and presents two practical, low‑effort implementations—a Grafana FlowCharting unified dashboard and a GrafanaImageRender + WeChat Work rich‑text alert solution—detailing step‑by‑step procedures, required tools, and sample code to help SRE teams quickly adopt them.
This comprehensive tutorial walks you through preparing three CentOS 7.5 machines, disabling firewalls and swap, installing Docker and Kubernetes components with yum repositories, configuring the master node, joining worker nodes, deploying Flannel networking, setting up the Kubernetes dashboard, and troubleshooting common issues.
Grafana’s new Redis Data Source plugin lets DevOps engineers and DBAs seamlessly connect to Redis instances—whether open‑source, Enterprise, or Cloud—visualize time‑series and core data types, run management commands, and build interactive dashboards using Grafana’s transformations and built‑in panels.
This article introduces k1s, a minimalist Bash‑based Kubernetes dashboard that watches any resource type across namespaces, explains how to install it via Homebrew or a raw script, details its command‑line syntax, walks through the full source code line by line, and discusses its limitations and potential extensions.
This guide shows how to wrap a service‑account token into a kubeconfig file, configure a cluster entry, credentials, and context on the master node, then use the generated kubeconfig to log into the Kubernetes dashboard, with an optional full‑access version.
This article introduces the Barad‑Dur custom monitoring dashboard of Ant Monitoring, detailing its WYSIWYG editor, advanced interaction features, controller concept, extensible data‑source architecture, unified time‑series format, scene‑graph inspired layout engine, and future roadmap for cloud‑native observability.
This article explains how to unpack Power BI .PBIX files, parse the layout JSON to retrieve widget positions, used fields, and settings, and then use Python and Pandas to generate a concise data frame of all unique fields, ultimately building a Flask‑based web tool for easy visualization.
Grafana 7.0 introduces a revamped user experience, a unified data model, a new plugin platform, Jaeger tracing support, powerful data transformations, AWS CloudWatch Logs integration, and enterprise usage analytics, offering enhanced visualization and monitoring capabilities across major data sources.
This step‑by‑step guide shows how to set up a production‑grade Kubernetes 1.18 high‑availability cluster using kubeadm, HAProxy, Keepalived, Calico networking, the Kubernetes dashboard, and metrics‑server, covering node planning, environment preparation, component installation, cluster initialization, HA testing, and post‑deployment verification.
This article explains how the front‑end team built an internal visual dashboard framework called “Big” to replace manual coding and costly third‑party services, detailing its architecture, component design, editing workflow, code snippets, challenges, and future improvements.
The document outlines AutoBI, a company‑wide one‑stop data visualization platform, detailing its background, overall architecture, key technical components such as real‑time/offline data switching and query processing, integration capabilities, and practical case studies, highlighting efficiency gains and future development plans.
This article details the design, requirements, architecture, and operational dashboard of Pepperbus, a unified bus system that standardizes asynchronous task handling for PHP, Java, and Go services at Huajiao, highlighting its storage plug‑in model, Redis‑based protocol, and monitoring capabilities.
This tutorial walks through installing Rook as a cloud‑native storage orchestrator on Kubernetes, deploying the Rook operator, creating a CephCluster CRD, verifying OSD and monitor pods, setting up the Rook toolbox, exposing the Ceph dashboard via a NodePort service, and configuring monitoring and access credentials.
This article explains the end‑to‑end process of designing, implementing, and visualizing a quality‑measurement system that aggregates department, application, and individual data, defines evaluation methods, and uses offline Hive calculations to deliver fast, flexible dashboards for software quality improvement.
This article demonstrates how to build a one‑second‑refresh real‑time dashboard for e‑commerce order data using Apache Flink, Kafka, and Redis, covering JSON message parsing, processing‑time windows, stateful aggregation for site‑level KPIs, and efficient top‑N product ranking via Redis sorted sets.
Grafana 6.4, released on October 2 2019, introduces a suite of enhancements—including Explore navigation, real‑time log viewing, new log panels, Data Link upgrades, Series Override line rendering, shared query results, an Alpine‑based Docker image, deprecation of PhantomJS, and the Alpha release of grafana‑toolkit—plus numerous UI and performance improvements.
This guide provides a comprehensive, command‑by‑command procedure for preparing a CentOS system, installing Docker and Kubernetes components, configuring networking and security settings, and deploying both master and worker nodes along with the Kubernetes Dashboard.
This article walks through modifying Sentinel Dashboard so that rule changes are automatically synchronized to Nacos, detailing six implementation steps, required pom changes, UI adjustments, custom Nacos configuration classes, rule provider/publisher beans, and final integration tweaks.
This guide walks through pulling and retagging the Kubernetes Dashboard image, applying the deployment manifest, modifying the Service to use a NodePort, creating an admin ServiceAccount and ClusterRoleBinding, and retrieving the admin token and service port for external access.
Naftis is an open‑source web dashboard for Istio that lets users define custom task templates, manage services, view topology and metrics, and provides step‑by‑step Kubernetes deployment instructions, Docker images, and a complete developer guide for building and running the platform.
This article examines Capital One’s open‑source DevOps dashboard Hygieia, explaining its shift to an Open Source First strategy, the value of DevOps visualisation, core functionalities, main views, technical architecture, integration ecosystem, and practical lessons for improving continuous delivery pipelines.
This guide walks through enabling MySQL binlog, installing Logtail, configuring data collection, indexing, previewing logs, writing custom SQL queries for user login analysis, constructing real‑time dashboards, setting abnormal‑login alerts, and backing up data to OSS for long‑term storage.
This article explores Capital One’s open‑source Hygieia DevOps dashboard, detailing its value, core features, main views, technical architecture, and integration capabilities, and explains how it enables continuous feedback and measurable improvement across the software delivery pipeline.
In just over a month, 37 Interactive Entertainment transformed its fragmented monitoring wall into a unified, twelve‑screen dashboard by consolidating game and service data into Elasticsearch, creating a single API, and employing modular JavaScript, custom ECharts visualizations and a 3D map, delivering real‑time insights with a cohesive sci‑fi inspired UI.
This guide walks through creating a Spring Cloud Hystrix Dashboard application, configuring its Maven dependencies, enabling the Hystrix stream on a service instance, and using the dashboard’s controls to monitor real‑time circuit‑breaker metrics such as health, traffic volume, and latency.
This article explores the challenges and strategies of migrating web‑based data analysis tools to mobile devices, covering user targeting, module selection, interaction redesign, and visual component adaptation to create effective, lightweight mobile dashboards for B2B users.
This guide explains how operations engineers can systematically map online business architecture, implement comprehensive multi‑dimensional monitoring, and create effective data dashboards to gain full visibility and quickly resolve issues.
Etsy’s engineering team applies continuous delivery principles to mobile development by enforcing main‑branch commits, automating environment setup, building on every push, providing daily internal builds, running functional tests on physical devices via a cloud service, maintaining a Jenkins‑driven dashboard, and requiring static analysis and code reviews to ensure high release quality.
Open‑Falcon, an open‑source, enterprise‑grade monitoring solution from Xiaomi’s operations team, offers zero‑configuration data collection, high‑throughput horizontal scaling, flexible alerting, efficient historical queries, and a user‑friendly dashboard, with detailed documentation, quick installation steps, and a highly available architecture.
