fieldju/ktunnel — explained in plain English
Analysis updated 2026-07-17 · repo last pushed 2020-02-16
Let pods in a Kubernetes cluster call a web server running locally on your laptop.
Debug how a cluster app interacts with a local database without deploying it.
Inject a tunnel into an existing deployment so it can reach your local machine.
Speed up iteration by skipping build-and-deploy cycles during development.
| fieldju/ktunnel | 0verflowme/alarm-clock | 0xhassaan/nn-from-scratch | |
|---|---|---|---|
| Stars | — | — | 0 |
| Language | — | CSS | Python |
| Last pushed | 2020-02-16 | 2022-10-03 | — |
| Maintenance | Dormant | Dormant | — |
| Setup difficulty | moderate | easy | moderate |
| Complexity | 3/5 | 2/5 | 4/5 |
| Audience | developer | vibe coder | developer |
Figures from each repo's GitHub metadata at analysis time.
Requires an existing Kubernetes cluster and kubectl access.
Ktunnel is a tool that creates a secure tunnel between your local machine and a Kubernetes cluster, letting applications running in the cluster access services on your computer. If you're developing an app locally and need pods or services in Kubernetes to talk to it, this tool bridges that gap without exposing your machine to the internet or requiring complex networking setup. Here's how it works in practice. You run a simple command on your laptop, and it establishes a reverse tunnel, think of it like a private bridge, between your local machine and the Kubernetes cluster. On one side, your local app is listening (say, a web server on port 8000). On the other side, the cluster sees it as a service it can call just like any other internal service. There are two main ways to use it: you can expose your local machine as a named service that any pod in the cluster can reach, or you can inject a tunnel directly into an existing deployment so that deployment can access your local machine. The typical user is a developer working on a feature or debugging an issue. Instead of deploying your incomplete code to the cluster and waiting for it to build and run, you keep it running on your laptop and let the cluster's services communicate with it directly. This speeds up iteration and makes debugging easier. You could also use it if you're testing how a Kubernetes application interacts with a local database, API, or microservice running on your development machine. The tool is fairly lightweight and can be installed via Homebrew or built from source. It's specifically designed for the Kubernetes use case but the README notes it can also work as a general reverse tunnel tool for other systems if needed.
A CLI tool that creates a reverse tunnel so pods in a Kubernetes cluster can reach services running on your local machine.
Dormant — no commits in 2+ years (last push 2020-02-16).
Setup difficulty is rated moderate, with roughly 30min to a first successful run.
Mainly developer.
This repo across BitVibe Labs
Verify against the repo before relying on details.