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rguske.github.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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hypernephelist.com
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| | | | | Traefik is a modern, dynamic load-balancer that was designed specifically with containers in mind. It is able to react to service deployment events from many... | |
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nodogmablog.bryanhogan.net
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| | | | | In my previous post I showed how to run a single instance of a Web API application in Kubernetes using Minikube. In this post, I will show you how to deploy the same application, but this time there will be 3 instances of the application, with a load balancer routing traffic to each of the instances. | |
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vadosware.io
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| | | I set up statping for a few websites I maintain on my small k8s cluster | ||
