Elasticsearch Tutorial | Getting Started Guide for Beginners - Sematext

Elasticsearch is the search engine of choice for some of the very largest companies in the world. The reason Elasticsearch is loved by so many is due to its searching and indexing capabilities.

In this short Elasticsearch tutorial for beginners, we will learn what Elasticsearch is and what are the advantages of indexing data. We will also do some practical examples where we will deploy our own Elasticsearch cluster, manually create an index, use a bash command to import large amounts of JSON documents, and run our first search (query) within Elasticsearch. #devops #elasticsearch #elasticsearchtutorial #Sematext

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Chapters:
0:00 ⏩ Intro
1:30 ⏩ Indices in Elasticsearch
3:28 ⏩ Sharding in Elasticsearch
5:07 ⏩ Nodes in Elasticsearch
5:35 ⏩ Monitoring Elasticsearch Clusters
6:23 ⏩ Installing Elasticsearch on Docker
7:15 ⏩ More on Indexing
7:46 ⏩ Creating an Index and placing shards/replicas in Elasticsearch
8:47 ⏩ Bash Command to Import Data
10:23 ⏩ Verifying Share Placement
10:41 ⏩ Running a Query via Dev Tools
11:09 ⏩ Outro

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[milesdyson]

So glad this is Clear English and easy to follow and understand, without a distracting accent to decipher through.
*Liked & SUBSCIBED*

[asafjerbi]

This video is extremely underrated!
Thanks for this high quality content!

[adityasagam-yofv]

Found this video to be better than most of the other "What is Elastic search?" videos. Great explanation!

[SarthakSPyt]

Great video, you taught both theory and showed a practical example. I was just wondering about the persistence capacity of ES, what amount of data is it ok to have directly on ES and when/how to have a DB connected to it.

[karrolasrivani]

it would be amazing if you could make a video tutorial on ELK installation with Docker and Helm charts. Your expertise is highly valued.
Seeing your smile makes my day brighter :)

[alexandersmirnov]

great tutorials!
also interested inot architecture of es and what type of node better use for logs storage

[zuowang]

why don't elastic search have a native monitoring tool like your sematext

[grahammartintimmins]

Useful thank you, but for what seemed like a fairly modest amount of sample data, it took almost third of a second to do the searching. Is this mostly an "overhead" and searching 1000 times as much data would only take a millisecond or so more - of could this then take many seconds / minutes to get the result.

As this is suitable for Search Engines, I am guessing the 315ms was misleading somehow, but a brief comment about why this (seems) to take a long time for such a modest amount of data would be really helpful please. I am guessing I missed something important, but would welcome a pointer :)

[sec_engineer]

"I will show you easier way"
and long and long long giberish terminal code :)
mind blowing 🤯

[gdevelek]

In a matter of a few seconds, this guy goes from "you put different segments on each node" to "you put different shards on each node". Which is it????