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api7.ai | ||
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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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brunoscheufler.com
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| | | | | Welcome back to the short series about getting started with Kubernetes, the practical way! If you haven't read the first post on provisioning a cluster and haven't set up your first cluster yet, please do that first and come back here. If you're running your cluster on Google's Kubernetes Engine, chances are that integrated metrics and services like Stackdriver are already great for monitoring your Kubernetes cluster, in that case, you might not actually need to deploy the following application.... | |
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vegard.blog.engen.priv.no
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| | | | | My primary cluster was installed manually. While I have retroactively created some scripts and put it in my bootstrap repository, it had never been tested end-to-end. Creating a DR cluster (still o... | |
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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 | ||
