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Administering Elasticsearch

Make Operating Elasticsearch Efficient

This class offers a clear and deep understanding of Elasticsearch’s management capabilities: from pre-configuring index settings and mappings to backup and how to safely perform upgrades. Administering Elasticsearch class makes operating Elasticsearch correct and efficient. Correct because you will learn how to properly do required operational tasks, such as backups and upgrades. Efficient because you will also learn how to set up patterns for indices and searches, as well as how to set up your cluster’s allocation settings to avoid issues that typically appear when the cluster is under stress. Radu Gheorghe‌‌, a seasoned Elasticsearch instructor and consultant from Sematext, author of “Elasticsearch in Action”, and frequent conference speaker will be your trainer.

Why attend?

  • Small, interactive, instructor-led classes
  • Lots of hands-on exercises
  • Customized learning experience
  • More flexible – no need to travel
  • Certificate of Completion included

What’s Included

  • 2-hour online training
  • A digital copy of the training material
  • Docker Compose files, configs, scripts, etc.
  • Certificate of Completion

Next Class: May 16 See Upcoming Classes

$200.00 -10% Early Bird Register Now

Full day classes available upon request

Looking for a more general and extended knowledge-based Elasticsearch training?

Request Now

Who should attend?

This Elasticsearch online course is designed for anyone operating Elasticsearch clusters:

  • A good understanding of core concepts is required (indices, shards, mappings replicas, nodes)
  • This online training course teaches how to perform administrative tasks

What attendees say

Sematext was an ideal training partner for Parse.ly. We had just recently adopted Elasticsearch on a new project, and they gave us two days of solid training that was tailored to our team’s needs. The material was built atop strong foundations and moved quickly into advanced areas around querying, Lucene internals, and cluster performance. It was clear that it was all informed by real-world experience operating these systems at scale.

Andrew Montalenti CTO/Founder – Parse.ly

Course Outline

Administering Elasticsearch
  • Predefining index mappings and settings through templates
  • Moving queries from code to configuration via search templates
  • Identify and cancel long-running operations via task management
  • How to do cluster restarts properly to minimize downtime and inconsistencies
  • Rolling upgrades vs full cluster upgrades. When to do which.
  • How snapshots work and how to perform them to minimize backup time and data loss
  • Control chatter between nodes through allocation settings: options and trade-offs
  • Lab
    • Setting up multiple index templates with different orders
    • Making sure cluster starts recovery when enough nodes are up
    • Avoiding the domino effect when a node goes down via allocation settings
 

Main Topics

  • Index templates
  • Search templates
  • Snapshot and restore
  • Elasticsearch cluster restarts and upgrades
  • Allocation settings

Elasticsearch Training

Upcoming Classes

Pick from a wide range of short (2h), use case focused classes to match your exact needs

DateClassPriceRegistration
May 16, 2019Administering Elasticsearch$200 / person Only $180 / person before 6th AprRegister Now
Sept 26, 2019Administering Elasticsearch$200 / person Only $180 / person before 20 JulyRegister Now
Dec 12, 2019Administering Elasticsearch$200 / person Only $180 / person before 30 SeptRegister Now
Radu Gheorghe

About the trainer

Radu Gheorghe

Your trainer is an active Elasticsearch consultant. Radu has worked with clients from 20+ different industries and is the author of Elasticsearch in Action. Here are some problems that Radu solved for Sematext clients recently:

  • Improved search relevancy using Learning to Rank
  • Optimized multiple petabyte-scale clusters. Some up to 400 nodes.
  • Designed Elasticsearch index and cluster architecture for dozens of clients
  • Optimized log ingestion pipelines to parse and enrich 100K+ events/second
  • Helped clients reduce production Elasticsearch and ingestion pipeline costs by as much as 10x

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