Elasticsearch is an excellent tool if you’d like to build comprehensive search features for your website.
While it’s a fairly easy text-search engine to grasp, getting it to perform fast and efficiently isn’t always straightforward. Poor performance is a problem that even experienced developers grapple with, as it becomes hard to understand the causes of search latency, especially if you aren’t aware of how to design a database and what makes it tick.
To build fast and resource-efficient search functionalities, you’ll need to take the best Elasticsearch courses.
You’ll learn how to avoid scaling problems and implement small batch requests to define the right size parameters that will optimize search performance. Moreover, you’ll be able to pinpoint and eliminate slow search triggers by analyzing logs.
In this guide, I’ll take you through the best Elasticsearch courses & certifications online in 2023 that will show you how to scale and boost your Elasticsearch features, and take your software development skills to the next level.
Let’s get started.
Do you have basic terminal skills and JSON experience?
If so, the The Complete Guide to Elasticsearch course on Udemy by Bo Andersen is perfect for you. It is one of the best Elasticsearch courses to figure out the ELK stack and will enable you to write complex search queries.
On the other hand, take the Complete Elasticsearch Masterclass with Logstash and Kibana training on Udemy by Imtiaz Ahmad if you don’t have this experience. If you’d like to master how to use query DSL to execute a huge variety of searches, it’s easily among the best Elasticsearch courses & certifications online that you could take.
Additionally, this training will enable you to develop an Elasticsearch 6 cluster from the ground up.
To understand how to pair Kubernetes with the EFK Stack, then be sure to also check out this review I wrote on the best Kubernetes courses online to learn how to get started.