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ELASTICSEARCH ENGINEER II

ELASTICSEARCH ENGINEER II

Kód: EE2
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Időtartam:4x4 óra
Nehézségi szint:
  • Kezdő
395 000 Ft
(Bruttó ár: 501 650 Ft)
Kérdésem van!
Képzési forma
VILT – Virtual On-line
Képzés nyelve
angol
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Termékleírás

Időpont: 2019.02.25 + 02.28 + 03.18 + 03.21 (14-18h)

This instructor-led course is designed for Elasticsearch professionals who need to expand their skill set for developing and managing powerful search and analytics solutions with the Elastic Stack. You will learn advanced cluster management techniques, best practices for capacity planning and scaling, tips for monitoring and alerting, considerations for going into production, and more. You will also dig into field and document modeling, fixing data with Painless scripting, cross-cluster search, pipeline aggregations, and more. After completing this course, you will be prepared to attempt the Elastic Certified Engineer exam.
The course is delivered by a certified Elasticsearch engineer with real-life experience in various Cloud technologies.

Kinek ajánljuk

Experienced Elasticsearch professionals who need to expand their knowledge of Elasticsearch cluster management and application development.

Szükséges előképzettség

Complete the Elasticsearch Engineer I course, or possess equivalent Elasticsearch knowledge

Technical requirements to attend the course

  • Mac, Linux, or Windows
  • Latest version of Chrome or Firefox (Safari is not 100% supported)
  • Stable internet connection
  • Due to virtual classroom JavaScript requirements, we recommend that you disable any ad-blockers and restart your browser before class.

Tematika

Elasticsearch Internals

Take a deep dive into how Elasticsearch works, including the details of Apache Lucene, segments, doc values, and caching.

Hands-on Lab

 

Monitoring and Alerting

We discuss of monitoring options, including the Stats API, task monitoring, the cat API, the X-Pack Monitoring component, and guidelines for monitoring a cluster and setting up alerts.

Hands-on Lab

 

From Dev to Production

We explore items to consider when moving to production, including network setup, hardware requirements, JVM settings, and also a discussion on some of the common causes of poor query performance and how to fix them.

Hands-on Lab

Tanfolyami naptár