All language subtitles for 1. Overview of installation options
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Now that you know what Elasticsearch and the
Elastic Stack is all about, let's get started
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actually doing something with it.
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The first step in doing so is to install Elasticsearch
and Kibana.
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The reason we need Kibana, is that it has
a very convenient development tool named Console,
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which lets us easily send queries to Elasticsearch.
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The next handful of lectures are going to
cover how to set up both Elasticsearch and
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Kibana on Linux, macOS, and Windows.
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While it's fairly easy, there is actually
a shortcut where you don't have to install
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anything at all.
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That's because the company behind Elasticsearch
and the Elastic Stack has a cloud solution.
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There is a free trial, which is sufficient
for working your way through this course.
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So if you don't want to deal with installation
and any issues that may come from it, then
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this is the easiest approach.
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You just have to click a few buttons, and
everything is ready and set up for you, so
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you don't need to deal with any configuration
files at all.
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If you are just getting started with Elasticsearch,
then that's the approach that I recommend.
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When you have gained some experience with
Elasticsearch - or if your trial expires - then
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you can always go ahead and install everything
on your own machine.
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I have attached a link to the Elastic Cloud
trial to this lecture, and I will show you
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how to set everything up in the next lecture.
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The other alternative is to set things up
the traditional way, being on your machine.
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As I mentioned a moment ago, I will cover
how to do this on both Linux based systems,
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and on Windows.
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Actually there is another approach as well;
running Elasticsearch and Kibana within Docker
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containers.
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If you are not familiar with Docker, then
you can simply ignore this option.
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I don't officially support that approach
in this course, but I have attached a link
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to the documentation if you want to give it
a try.
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As you can see, you have a couple of options,
so please find the lectures that are relevant
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to the approach that you prefer, and you can
skip the ones that cover platforms that are
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not relevant to you.
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Alright, let's get started setting up Elasticsearch
and Kibana!
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