/explore
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vadosware.io | ||
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arveknudsen.com
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| | | | | In my previous blog post I showed how to use the Kops tool to create a production ready Kubernetes cluster on Amazon Web Services (AWS). In this follow-up post I will show how to install Elasticsearch and its graphical counterpart Kibana in the cluster, in order to be able to collect and store logs from your cluster and search/read them. We will also install Fluentd as this component is responsible for transmitting the standard Kubernetes logs to Elasticsearch. This is generally known as the ELK stack, which stands for Elasticsearch, Logstash (precursor to Fluentd) and Kibana. | |
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linderud.dev
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| | | | | Arch Linux got kubernetes packaged into the [community] repository the past week with the hard work of David Runge. I contribute to testing the packages so I thought it would be interesting to write up quickly the testing that was done. Originally I did the testing with docker but with the dockershim deprecation I rewrote the blog to utilize containerd instead. David has reworked the kubernetes archwiki article as well. It currently doesn't cover all use cases and contributions welcome. | |
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mherman.org
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| | | | | This tutorial looks at how to handle logging in Kubernetes with Elasticsearch, Kibana, and Fluentd. | |
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haseebmajid.dev
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| | | In this post, we will go over how we can deploy K3S on our PI cluster we have set up. Which is running NixOS, and we can also pass secrets using sops nix based on the previous parts of this series. Some of you maybe wondering what is K3S, it is a Kubernetes distribution which is tiny i.e. the binary is only 50 MB. It also has fewer dependencies. Make it perfect our PI cluster and home lab and IoT apps. I am still going to work out how to manage the Kubernetes cluster itself, perhaps I will use Pulumi you could also terraform if you wanted a reproducible PI cluster. | ||
