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vadosware.io | ||
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martinheinz.dev
As your project grows, it might get to the point that it becomes too hard to handle with just single VM or some simple SaaS solution. You can solve tha... |
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arveknudsen.com
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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mbuffett.com
There's no shortage of posts like "Let's use Kubernetes!" Now you have 8 problems, or Do I Really Need Kubernetes?, which tend to argue that unless you're orchestrating 1000 containers, you're good without Kubernetes. Also, I thought this tweet was hilarious: So... Hi, I'm the guy using Kubernetes for my blog and small side projects, here's why I love it (to the extent one can love a deploy tool). "You don't need all that complexity" Undoubtedly, Kubernetes is doing a lot under the hood. But as an end-user, I'm not exposed to that complexity. After spending a couple hours learning the key concepts through the official tutorial, it really is very easy to use day-to-day. |
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haim.dev
My quest for a highly-available UDP service on DigitalOcean Kubernetes |
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