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kubernetes
minikube
Go2016–2022
kubernetes / minikube

minikube

Run Kubernetes locally

Systems & InfrastructureDevOps & Cloud
Explore on GitHubRead Hacker News discussions
38Distinct people
50Mentions
0Explicit recommenders
32.2KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Run Kubernetes locally

GitHub

Where it is used

No documented product use was verified in the last source check.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

Mentioned in the same Hacker News threads. That is not proof they are substitutes.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 3:56:07 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by year50 dated mentions

Observed mentions: 2016-06-20 19:58:12 UTC to 2022-06-23 06:20:02 UTC.

051015202016-01-01 00:00:00 UTC to 2017-01-01 00:00:00 UTC (exclusive): 21 mentions; 1 submissions, 20 comments20162017-01-01 00:00:00 UTC to 2018-01-01 00:00:00 UTC (exclusive): 10 mentions; 2 submissions, 8 comments2018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 8 mentions; 0 submissions, 8 comments2019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 5 mentions; 1 submissions, 4 comments20192020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments2022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 3 mentions; 1 submissions, 2 comments2022

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
20162016-01-01 00:00:00 UTC2017-01-01 00:00:00 UTC21120
20172017-01-01 00:00:00 UTC2018-01-01 00:00:00 UTC1028
20182018-01-01 00:00:00 UTC2019-01-01 00:00:00 UTC808
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC514
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC202
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC110
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC312

From the project README

An excerpt from the repository, fetched Nov 13, 2026.

Read the project’s introduction
minikube minikube implements a local Kubernetes cluster on macOS, Linux, and Windows. minikube's primary goals are to be the best tool for local Kubernetes application development and to support all Kubernetes features that fit. Features minikube runs the latest stable release of Kubernetes, with support for standard Kubernetes features like: LoadBalancer - using minikube tunnel Multi-cluster - using minikube start -p <name> NodePorts - using minikube service Persistent Volumes Dashboard - minikube dashboard Container runtimes - minikube start --container-runtime Configure apiserver and kubelet options via command-line flags Supports common CI environments As well as developer-friendly features: Addons - a marketplace for developers to share configurations for running services on minikube NVIDIA GPU support - for machine learning AMD GPU support - for machine learning Filesystem mounts For more information, see the official minikube website Installation See the Getting Started Guide 📣 Please fill out our fast 5-question survey so that we can learn how & why you use minikube, and what improvements we should make. Thank you! 👯 GitHub Codespace You can run minikube in a GitHub Codespace by clicking here: This will launch a Github Codespace. You can then run minikube start and minikube dashboard - You can then open Minikube Dashboard by clicking opening the link displayed in the terminal. You can also run Minikube in a Dev Container locally using your favorite IDE, for more information see Dev Containers https://code.visualstudio.com/docs/devcontainers/containers Documentation See https://minikube.sigs.k8s.io/docs/ More Examples See minikube in action in the controls handbook Governance Kubernetes project is governed by a framework of principles, values, policies and processes to help our community and constituents towards our shared goals. The Kubernetes Community is the launching point for learning about how we organize ourselves. The Kubernetes Steering community repo is used by the Kubernetes Steering Committee, which oversees governance of the Kubernetes project. Community minikube is a Kubernetes #sig-cluster-lifecycle project. #minikube on Kubernetes Slack - Live chat with minikube developers! minikube-users mailing list minikube-dev mailing list Contributing Development Roadmap Join our community meetings: Bi-weekly office hours, Mondays @ 11am PST Triage Party
Read the full README on GitHub

What Hacker News says

50 sources
xenophonf·May 25, 2022
Anyone else experiencing DNS lookup failures on Minikube-managed clusters running under VirtualBox? The host O/S or host DNS server doesn't seem to matter. I've noticed this when trying to build Alpine Linux-based images, an issue I reported here: https://github.com/kubernetes/minikube/issues/13968 I'm really at a loss as to how to troubleshoot this as I'm still learning how to use Kubernetes.
In Minikube quickly sets up a local Kubernetes cluster on macOS, Linux, and Windows
oso2k·Jun 1, 2020
DISCLAIMER: I work for Red Hat Consulting as an OpenShift/Kubernetes consultant. You might want to try minikube [0], minishift [1], CDK [2] or CRC [3]. You'll want to have a machine with a bit of resources available. 2 cores+, 8GB+ RAM, 20GB+ disk space for minikube, minishift, CDK. CRC is happier with 4 cores+, 16GB+ RAM, 40GB+ disk space. kubeconfig (`~/.kube/config`) [4] is a little like your `~/.ssh` folder where your Kubernetes clusters sessions, credentials, metadata are stored & maintained. [0] https://github.com/kubernetes/minikube [1] https://www.okd.io/minishift/ [2] https://developers.redhat.com/products/cdk/overview [3] https://developers.redhat.com/products/codeready-containers/... [4] https://kubernetes.io/docs/concepts/configuration/organize-c...
In Show HN: k3sup ('ketchup') – bootstrap Kubernetes with k3s over SSH
atombender·Mar 4, 2020
Kubernetes consumes a lot of CPU even when idle, due to the polling design, which makes Minikube is a really poor fit for developer machines. It's well known [1] to sit there eating 20-30% CPU, draining your battery and frustrating your life while doing absolutely nothing. This applies to all the Kubernetes distributions, including Kind and Docker Desktop. Not sure if the same applies to K3s, though. [1] https://github.com/kubernetes/minikube/issues/3207, https://github.com/docker/for-mac/issues/3065, https://github.com/docker/for-mac/issues/3539, etc; there must be dozens and dozens of these
In Google Kubernetes Engine is introducing a cluster management fee on June 6
boulos·Dec 30, 2019
Disclosure: I work on Google Cloud (but this applies generally). There seem to be a lot of arguments about disk space (arguably free in 2020), memory (free-ish because as tytso points out, they won’t get backed) and then bandwidth. I think most people saying “bandwidth” might mean “time to fetch”, because GCS, GCR, S3, etc. all have free egress on the transfer from them to GCE/EC2. If you have a self-hosted Docker Hub or something on an EC2 instance, that’s not the case (you may pay Zone to Zone egress of $.01/GB). If you were paying a penny per gigabyte egress, a 100MB-ish binary is only .1 GB and therefore at best 1/1000th of a dollar. On the 16 vCPU hosts that CockroachDB prefers (see their recent benchmarks), that’s equivalent to about 5 seconds of runtime. A fair retort is that in container land, this becomes death by 1000 cuts as ea
Read the rest
ch binary includes all the same stuff over and over again (for minikube, the .iso is nearly 1 GB [1] now, but not because of the 50MB binary itself). Even so, a 1GB image takes almost as long to pull from a object store like GCS as a 100 MB image (at many Gbps, the constant factors dominate). If you’re trying to run something this large as a function on Cloud Run or Lambda or Knative, you’ll probably be sad (you’ve burned about 800 vcpu seconds, economically, of compute time) but that’s why there are layers. tl;dr: your 50 or 100 MB binary doesn’t “cost” much, but a 1 GB container image without shared layers does. [1] https://github.com/kubernetes/minikube/issues/5013
In Why are my Go executable files so large?
zten·Dec 20, 2018
Parallels is great. I like it so much that I bought the subscription, and I don't even use my Windows VM all that much. However, sadly, third-party software that spins up VMs tends to avoid supporting Parallels. I recall Vagrant having a sub-par Parallels provider (compared to the paid VMware Fusion support), and even minikube went with VMware Fusion instead. https://github.com/kubernetes/minikube/issues/220
In VirtualBox 6.0 released
spicytunacone·Oct 3, 2018
I'm reading that it's only for Docker EE or Docker Desktop (Mac/Windows). https://forums.docker.com/t/is-there-a-built-in-kubernetes-i... https://blog.docker.com/2018/07/kubernetes-is-now-available-... I just installed Docker via package manager so I guess I never really learned about the organization's offerings in total and didn't know which product I had (CE for Linux). Is there a more up-to-date/better practice for using Docker CE with k8s than this guide dated March[0] using Minikube[1]? [0]: https://blog.sourcerer.io/a-kubernetes-quick-start-for-peopl... [1]: https://github.com/kubernetes/minikube
In Kubernetes Is a Surprisingly Affordable Platform for Personal Projects
marenkay·Sep 28, 2018
I'm migrating "legacy" applications (as in non-containerized ones) to container environments for medium to large companies, and I would suggest two things: - get a local test setup with minikube (https://github.com/kubernetes/minikube) and Helm (https://www.helm.sh/) and try out a few applications - convert a project of yours to a Kubernetes deployment, then a Helm chart If both steps are successful and you still feel like Kubernetes is doing a better job for you then Heroku, get a Kubernetes professional. I promise you, there will be as many problems as with any other environment. The only difference is that the Kubernetes issues are not documented.
In Kubernetes 1.12

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