Elasticsearch has become a favorite technology amongst administrators, engineers, and developers alike. Whether you are using it with the rest of the Elastic Stack or on its own, Elasticsearch has proven itself to be a powerful and easy to use search and analytics engine. Log aggregation, operational analytics, application performance monitoring, NoSQL databases, site search, and ad-hoc data analysis are just a few of the many use cases this product has become synonymous with. Now that Elasticsearch has become a mainstream technology, it is helpful to know a little something about it.
Who is this Deep Dive Course For?
The hands-on Elasticsearch Deep Dive course is great for those new to Elasticsearch or those who want to expand what they already know. However, you should have some prerequisite knowledge before considering this course as we will be getting our hands dirty with the Linux command line, Java Virtual Machines (JVMs), Public Key Infrastructure (PKI), using REST APIs with JSON, modifying configurations with YAML, and configuring network interfaces to form distributed clusters of Elasticsearch nodes. If your a bit rusty or inexperienced in any of these areas, then it may behoove you to freshen up a bit before jumping into this course.
Elasticsearch Fundamentals and Production
The Elasticsearch Deep Dive course has two main parts; Elasticsearch Fundamentals and Elasticsearch in Production. In the fundamentals section, we will first demonstrate how Elasticsearch works by showcasing the various clustering concepts like data storage, replication, recovery, rebalancing, and defining the various node types with their respective roles. Once we have a good understanding of how Elasticsearch functions under the hood, we then showcase its fundamental concepts by creating indices, ingesting data into documents, and then searching, filtering, and aggregating over said data.
You may have heard in the news, stories about massive data breaches suffered by companies who lack sufficient security implementations for their back-end datastores like Elasticsearch. By default, Elasticsearch is a wide open door. There is no network-level encryption or user-access control pre-enabled with new installations of Elasticsearch. This is why, in the Elasticsearch in Production section of this course, we demonstrate how to secure Elasticsearch using X-Pack. By using the Security plugin provided by X-Pack, we will encrypt Elasticsearch's cluster network communications, enable user authentication, and configure roles to define granular user access control permissions for specific users and data.

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