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Elasticsearch Tuning 202

Tune Elasticsearch Low-Level Settings

Rating 

Our Elasticsearch training classes have a 4.67/5 rating based on 15 reviews

Using hardware efficiently impacts both the cost/performance ratio of your deployment and how much you can scale it without too much administrative overhead. This class teaches you how to tune Elasticsearch low-level settings, from merges and thread pools down to hardware choices, in order to have fast, and therefore easier to scale clusters.The online course is taught by Radu Gheorghe‌‌, a seasoned Elasticsearch instructor and consultant from Sematext, author of “Elasticsearch in Action”, and frequent conference speaker.

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 14 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?

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Who should attend?

This Elasticsearch online course is designed for anyone who:

  • Who has a good understanding of Elasticsearch core concepts (indices, shards, replicas, nodes)
  • Wants to understand the low-level performance tuning knobs of Elasticsearch. From the JVM-level GC options to Lucene-level index sorting and much more

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

Elasticsearch Tuning 202
  • Choosing the right hardware for the job: index, search, aggregations, masters or clients
  • Tuning the merge policy to balance index and search performance, while avoiding spiky load
  • Tuning GC settings to make big clusters faster and more stable
  • Using thread pools to reserve CPU and memory for important workloads
  • When does index pre-sorting help and when it just adds overhead
  • Lab
    • Tune the thread pool to allow more space for searches
    • Using the G1 GC to get more throughput and lower latency on larger heaps
    • Tweaking the merge policy for heavy writes
    • Activating index sort
 

Main Topics

  • Typical hardware bottlenecks for different workloads
  • GC tuning for Elasticsearch
  • Thread pools
  • Index sorting
  • Merge policy tuning

Elasticsearch Training

Upcoming Classes

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

DateClassPriceRegistration
May 14, 2019Elasticsearch Tuning 202$200 / person Only $180 / person before 6th AprRegister Now
Sept 24, 2019Elasticsearch Tuning 202$200 / person Only $180 / person before 20 JulyRegister Now
Dec 10, 2019Elasticsearch Tuning 202$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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