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Kubetail: Real-time Kubernetes Log Viewer (CLI & Web Dashboard)

Kubetail is a command-line and web-based tool designed for tailing logs from multiple pods and containers within a Kubernetes cluster in real-time, simplifying the process of monitoring and debugging distributed applications.

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Added on 2025年6月10日
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Kubetail: Real-time Kubernetes Log Viewer (CLI & Web Dashboard) preview
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Project Introduction

Summary

Kubetail is an essential tool for anyone managing or developing applications on Kubernetes, offering a streamlined way to access and monitor log output across various components of your application stack.

Problem Solved

Manually tailing logs from numerous pods and containers spread across a Kubernetes cluster is cumbersome and inefficient. Kubetail aggregates these logs into a single, easily monitorable stream.

Core Features

Multi-Pod/Container Tailing

Access and view logs simultaneously from multiple pods and containers matching specified labels or names within your Kubernetes cluster.

Dual Interfaces (CLI & Web)

Provides both a traditional terminal interface for command-line users and a feature-rich web-based dashboard for easier visualization and filtering.

Tech Stack

Go
Kubernetes Client Libraries
WebSocket
React (likely for web UI)

Use Cases

Kubetail proves invaluable in any scenario requiring centralized log access from distributed applications running on Kubernetes.

Scenario 1: Production Incident Debugging

Details

During a service outage or unexpected behavior, use Kubetail to view logs from all instances of the affected microservice across different nodes simultaneously to pinpoint the source of the error.

User Value

Significantly reduces the time required to identify and resolve issues by providing a unified log view.

Scenario 2: Monitoring Deployments

Details

When deploying a new version of an application, monitor the logs from the new pods in real-time via the web dashboard to ensure they start correctly and are processing requests as expected.

User Value

Provides immediate feedback on deployment health and behavior, allowing for quick rollbacks if necessary.

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