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Elasticsearch Operations

Tune and Scale Your Elasticsearch Clusters

If you are looking to administer, tune and scale clusters, in this class you will learn everything you need to handle your Elasticsearch clusters in production – from tuning OS si JVM for performance through commits, merge policies and caches, query routing, scrolling, thread pools, and so on.

Your trainer is an active Elasticsearch consultant who worked with clients from 20+ different industries and the author of Elasticsearch in Action.

Here are some problems Radu Gheorghe, your Elasticsearch trainer, 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

A word from Radu Gheorghe

“Attendees come in highly motivated, making the class feel more “alive” than I expected. They constantly look for takeaways to improve their setup, from tweaking a boost to changing the sharding strategy. Their use-cases are very diverse, too, so we end up covering a lot of material.

Radu Gheorghe Sematext Elasticsearch Training Instructor

8-hour online class available upon request

Looking for an extended knowledge-based introduction to Elasticsearch training? You’ve come to the right place.

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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

Who should attend?

This Elasticsearch course is designed for technical attendees with basic Elasticsearch experience. A person should be able to index data to Elasticsearch, run queries and aggregations, work with mappings and analysis.

Experience with Linux systems is not a must, but a basic familiarity with running shell commands (e.g., using curl command) will make the course more enjoyable. If you do not have prior Elasticsearch experience, we strongly suggest you consider attending our Intro to Elasticsearch class first.

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

Scaling basics
  • Unicast settings
  • Number of shards and replicas
  • Node roles
  • Lab
    • Set up a cluster; adjust number of shards and replicas for a new index
    • Set up dedicated master, data and client nodes in a cluster
Designing for scale
  • Time-based indices and aliases
  • Shard allocation
  • Cross-cluster search
  • Lab
    • Create a multi-tier cluster
    • Set up a cluster to work across availability zones
    • Set up cross-cluster search
Cluster maintenance
  • Index and search templates
  • Snapshot and restore
  • Upgrades and cluster restarts
  • Shard allocation
  • Lab
    • Set up index templates
    • Adjust initial recovery settings
    • Adjust rebalancing settings
Troubleshooting and profiling
  • Health and stats APIs
  • Cat APIs
  • Monitoring products
  • Logging
  • Task management
  • Hot threads API
  • Query profiling
  • Lab
    • Use the Cat APIs to get nodes and thread pool stats
    • Set up slowlogs
Performance bottlenecks
  • Heap size vs OS caches
  • Garbage collection
  • Elasticsearch-specific caches
  • Hardware considerations
  • Lab
    • Adjust heap size and set up G1 Garbage Collector
    • Adjust query cache size, field data size and index buffer size
Tuning indexing and queries
  • How often to commit: translog, index buffer and refresh interval
  • How data is stored: merge policies
  • Index sorting
  • Routing
  • Thread pools
  • Lab
    • Set up routing
    • Adjust refresh, flush and merge settings
    • Set up index sorting
    • Adjust thread pool size and queue sizes

Main Topics

  • Scaling with Different Node Types, Multi-Tier and Multi-Cluster Architectures
  • Efficient Index Designs for Product and Time-Series Search
  • Tuning Caches, Merge Policies and Other Elasticsearch, JVM and OS Settings
  • Monitoring: Relevant Metrics to Watch and How to React to Them
  • Maintenance: Aliases, Snapshots, Recovery, Upgrades, etc

Elasticsearch Training

Course key takeaways

After taking this course you will learn about:

  • Everything you need to handle your Elasticsearch clusters in production: from tuning OS and JVM for performance through commits, merge policies and caches, query routing, scrolling, thread pools, and so on.
  • A number of tips and tricks for scaling out your cluster, different types of nodes and deployment topologies, the best way to handle time-based indices, etc.
  • Various Elasticsearch APIs important for keeping your cluster healthy, about backups, hot threads, logging, monitoring tools and so on.

Things to remember

Participants must use their own computer with OSX, Linux, or Windows, with a recent version of Java installed.

Participants should be comfortable using a terminal/command line. Sematext provides:
  • A digital copy of the training material
  • A VM with all configs, scripts, exercises, etc.

Want to master your Elasticsearch use case faster?

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

  • Online
  • 2-hours
  • Use-case focused
  • Instructor-led

Elasticsearch Fundamentals

Understand how Elasticsearch works and get started with setting it up for either search or log aggregation.

Read more

Kibana and Logstash Fundamentals

Get started with Logstash and Kibana, so you can build an ELK stack: from parsing logs to building dashboards.

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Elasticsearch Scaling 101

Learn about how nodes and shards work, so you can scale your Elasticsearch cluster from PoC to as much as you hardware can hold.

Read more

Elasticsearch Scaling 202

Learn index and cluster architectures that make clusters scale, from time- and size-based indices, to cross-cluster search.

Read more

Elasticsearch Tuning 101

From caches and refreshes to routing, learn about the most important knobs that influence both indexing and search performance.

Read more

Elasticsearch Tuning 202

From hardware choices, to garbage collection, merge policy and thread pool tuning – learn how to squeeze even more performance from your cluster.

Read more

Monitoring Elasticsearch

Bridge the gap between having proper Elasticsearch monitoring in place and understanding how to diagnose and troubleshoot the cluster.

Read more

Administering Elasticsearch

Fully understand Elasticsearch’s management capabilities: from pre-configuring index settings and mappings to how to safely perform upgrades.

Read more

Need On-Site or Remote Training

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