Elasticsearch & ELK Stack Training
Sematext is known worldwide for our Elasticsearch and Elastic Stack expertise and world-class Elasticsearch support. Our 1 and 2-day Elasticsearch classes are delivered via a virtual classroom, on-site, or remotely. Instructor-led and highly hands-on, our Elastic Stack classes are chalk-full of hard-earned tips and tricks that will save you time, elevate your level of competency, and help you master Elastic Stack faster.
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.
Intro to Elasticsearch
After taking this class you will understand all core Elasticsearch concepts – data, master, and client nodes and their differences, sharding, replication, mapping, search relevance scores, etc. You will be able to index data into Elasticsearch and retrieve it using search and realtime get APIs… More Info
Elasticsearch for Logging
This class will teach you how to set up and use Kibana and Timelion, build different types of visualizations, create dashboards, dig in with sub-aggregations, and use Kibana to search through data. We’ll cover log shipping with Logstash, various Beats, Logagent, and rsyslog, including various inputs, outputs, using Elasticsearch Ingest node, grok, and so on… More Info
In this class you will learn to index data into Elasticsearch and retrieve it using search and realtime get APIs. You will have a solid grasp of the underlying query parsing, analysis, tokenization, and various types of queries. Finally, you will learn about a number of different types of Elasticsearch aggregations… More Info
In this class 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… More Info