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kubernetes-retired
bootkube
Go2016–2018
kubernetes-retired / bootkube · Archived

bootkube

This project now lives at https://github.com/kinvolk/bootkube

4Distinct people
4Mentions
0Explicit recommenders
1.1KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

This project now lives at https://github.com/kinvolk/bootkube

GitHub

Where it is used

No documented product use has been verified yet.

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

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 5:04:57 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 month4 dated mentions

Observed mentions: 2016-12-13 13:36:21 UTC to 2018-06-28 11:33:59 UTC.

012016-12-01 00:00:00 UTC to 2017-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsDec 20162017-01-01 00:00:00 UTC to 2017-02-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2017-02-01 00:00:00 UTC to 2017-03-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2017-03-01 00:00:00 UTC to 2017-04-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2017-04-01 00:00:00 UTC to 2017-05-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2017-05-01 00:00:00 UTC to 2017-06-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2017-06-01 00:00:00 UTC to 2017-07-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2017-07-01 00:00:00 UTC to 2017-08-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2017-08-01 00:00:00 UTC to 2017-09-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2017-09-01 00:00:00 UTC to 2017-10-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsSep 20172017-10-01 00:00:00 UTC to 2017-11-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2017-11-01 00:00:00 UTC to 2017-12-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2017-12-01 00:00:00 UTC to 2018-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2018-01-01 00:00:00 UTC to 2018-02-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2018-02-01 00:00:00 UTC to 2018-03-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2018-03-01 00:00:00 UTC to 2018-04-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2018-04-01 00:00:00 UTC to 2018-05-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2018-05-01 00:00:00 UTC to 2018-06-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2018-06-01 00:00:00 UTC to 2018-07-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsJun 2018

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
Dec 20162016-12-01 00:00:00 UTC2017-01-01 00:00:00 UTC101
Jan 20172017-01-01 00:00:00 UTC2017-02-01 00:00:00 UTC000
Feb 20172017-02-01 00:00:00 UTC2017-03-01 00:00:00 UTC000
Mar 20172017-03-01 00:00:00 UTC2017-04-01 00:00:00 UTC000
Apr 20172017-04-01 00:00:00 UTC2017-05-01 00:00:00 UTC000
May 20172017-05-01 00:00:00 UTC2017-06-01 00:00:00 UTC000
Jun 20172017-06-01 00:00:00 UTC2017-07-01 00:00:00 UTC000
Jul 20172017-07-01 00:00:00 UTC2017-08-01 00:00:00 UTC000
Aug 20172017-08-01 00:00:00 UTC2017-09-01 00:00:00 UTC000
Sep 20172017-09-01 00:00:00 UTC2017-10-01 00:00:00 UTC000
Oct 20172017-10-01 00:00:00 UTC2017-11-01 00:00:00 UTC000
Nov 20172017-11-01 00:00:00 UTC2017-12-01 00:00:00 UTC000
Dec 20172017-12-01 00:00:00 UTC2018-01-01 00:00:00 UTC000
Jan 20182018-01-01 00:00:00 UTC2018-02-01 00:00:00 UTC000
Feb 20182018-02-01 00:00:00 UTC2018-03-01 00:00:00 UTC101
Mar 20182018-03-01 00:00:00 UTC2018-04-01 00:00:00 UTC000
Apr 20182018-04-01 00:00:00 UTC2018-05-01 00:00:00 UTC000
May 20182018-05-01 00:00:00 UTC2018-06-01 00:00:00 UTC101
Jun 20182018-06-01 00:00:00 UTC2018-07-01 00:00:00 UTC101

What Hacker News says

4 sources
Running K8S on other environments isn't a difficult job, but you do need a certain level of experience running systems. You need to set up EtcD, in prod you have 3 or 5 of them - there are a couple of topologies for running EtcD and peer discovery (you will need to RTFM). This is all your K8S state, so you need to set up backups for these. Each node you are going to include in your cluster needs to have docker and kubelet running. You will need to start kubelet with your init system (systemd, etc). Then all you need is to bootstrap a control plane. The control plane has 3 components. The API server needs to communicate to etcd, everything else just talks to the API server. The API server is stateless and can (should) have multiple instances running. The other two parts are the Controller and Scheduler. Also stateless. The tool Bootkube[1]
Read the rest
can generate all the configuration and perform the bootstrapping for you. To answer your dot points, all but 4 are easy enough with using the kubernetes docs and some systems/networking knowledge. Point 4, assuming you mean starting new machines based on load, will require you to look at which systems are supported by the autoscaling system and potentially add an integration for your environment. There is the horizontal pod autoscaler that will run more of your service when needed and the cluster autoscaler[2] which will start more machines when it can't run as more instances of your service on the current number of machines. Edit: There are also tools like Patroni, Stolon, and postgres operators that will assist with your DB (postgres in this case) management. Scaling, HA, backups, etc. 1 - https://github.com/kubernetes-incubator/bootkube 2 - https://github.com/kubernetes/autoscaler/blob/master/cluster...
In Kubernetes 1.11 includes In-Cluster Service Load Balancing and CoreDNS
running into bugs and that I need to ssh into the nodes ;) (serious answer) I can basically automate nearly everything, os updates (coreos), deployment updates (ci/cd), however updating etcd or k8s is a manual operation on bare metal, either I'm on bootkube than I need to login and update kubectl, than I need to update all daemonsets/deployments in kube-system (it's not always easy and bootkube has strange bugs, https://github.com/kubernetes-incubator/bootkube/issues/977) So one should actually use kubeadm, once again I still need to update kubelet, so I need to ssh into the machine (anyway) I also need to update kubeadm and run it, again a manual operation. *ssh means I need to do it on my own, for small clusters this can be done manually for bigger clusters it can be scripted via ansible or even better create an own software that does i
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t. My point is, that's the only thing which is not "just works" on k8s (yet). Edit: I also run into a bug that I could not upgrade k8s with kubeadm (but thats gonna be fixed soon: https://github.com/kubernetes/kubeadm/issues/727) Edit2: the good thing is that reloading kubelet won't kill anything.
In Is K8s Too Complicated? 
The thing about k8s is it sort of forces you into best practices, immutable images are built and run instead of ansible or config management duct-taping them together. So he replaced his ansible playbooks that build his apps with Dockerfiles How are you deploying and maintaining your k8s clusters? There is some bootstrapping for nodes but k8s is distro and cloud agnostic... Stateless golang binaries plus etcd. It seems like you should be singing it's praises in that regard on the provisioning front? Funny enough there has been some work on "self hosted kubernetes" where even the components themselves are inside k8s. Pretty cool will probably be the future of cluster bootstrapping: https://github.com/kubernetes-incubator/bootkube I'm curious for your reasons for saying k8s is overvalued. You are the first person I have seen that has worked
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with it and came away with this opinion!
In The full-time job of keeping up with Kubernetes

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