Elasticsearch for Logging – 1 Day Workshop in London, UK


For those of you interested in some Elasticsearch / ELK Stack training taught by an expert from Sematext who knows it inside and out, we’re running a super hands-on training workshop in London on April 6 — each section is followed by a lab with multiple hands­-on exercises. In this one-day workshop attendees will learn how to:
  1. Set up, use, and scale out Elasticsearch
  2. Ingest data with Logstash, rsyslog, Filebeat, Topbeat, and Packetbeat
  3. Build Kibana dashboards using various visualization types, work with Sense and Timelion
Radu Gheorghe

This one-day workshop will be taught by Sematext engineer — and author of Elasticsearch books.

Radu Gheorghe

Audience / Pre-requisites


Developers / Devops / Ops people who want to learn how to make the most of Elasticsearch for the popular Logging use case, aka ELK Stack, from ingestion of data into Elasticsearch to gaining insights from data in Elasticsearch using Kibana.


Attendees are encouraged to arrive at least 20 minutes early to class and on time after each break. Important We require all participants to bring their own laptop during the workshop. Laptops are required with the latest version of Java installed in Mac, Linux or Windows. You should be comfortable using a terminal or command line.

Course Structure

Each section is followed by a lab with multiple hands­on exercises.

What We Provide

For this training, Sematext Group Inc. provides:
  • A digital copy of the training materials will be available on the portal 48 hours prior to the training course. Please read our Public Training Agreement
  • Refreshments. This usually includes coffee, tea, juices, soft drinks, and water to keep you hydrated.
  • Snacks. This usually includes croissants, bagels, danishes, or other pastry.

Course Outline


  1. Basic flow of data in Elasticsearch
    • what is Elasticsearch and typical use­-cases installation
    • index, mappings and analysis
    • get
    • search
    • update
    • delete
  2. Scaling out Elasticsearch unicast settings
    • number of shards and replicas node roles
    • time­ or size-­based indices
  3. Data visualization through Kibana installation; index patterns
    • discovering and searching raw data visualizing data; types of visualizations building dashboards
  4. Kibana plugins: Sense and Timelion
  5. Data ingestion through Logstash installation
    • inputs, codecs, filters and outputs
    • using grok and other filters to change events Data collection using Beats
    • installation: Packetbeat, Topbeat, Filebeat direct ingestion
    • ingestion through Logstash
  6. Data collection using rsyslog installation
    • input, message modifiers and outputs using queues to buffer data