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Course Outline
Introduction
- Elastic Stack Overview (ELK)
Elasticsearch
Overview:
- What and Why
- Terminology: Documents, Index, Shards, Node, Cluster, Scale Up/Out
Operate: Configuring & Deploying
- Configuring Elasticsearch
- Deploying Elasticsearch
- Lab
Node: Discovery, Types, and Cluster State
- Distributed Model and Discovery
- Master, Data, Client, and Tribe Nodes
- Master Election and Minimum Master Nodes
- Cluster State
- Shard Allocation
Backup: Snapshot and Restore
- High Availability vs. Backup
- Repository, Snapshot, and Restore
- Internals
Production Monitoring
- Alerting Best Practices
- JVM
- Query Performance
- Thread Pools
- Diagnosing Problems
Production Operational Best Practices
- Memory
- Networking
- Disk
- Security
- Cluster Restart (Rolling and Full)
Logstash
- What and Why
- Configuration
- Inputs, Filters, and Outputs
- Installation and configuration
- Backup and restore
- Cluster and availability nuances
- Best practices
Kibana
- What and Why
- Configuration Settings
- Time Picker, Search, and Filters
- Kibana Discover, Visualization, and Dashboard Interfaces
- Installation and configuration
- Backup and restore
- Cluster and availability nuances
- Best practices
Filebeat
- Logs and problems
- Filebeat architecture
- Installation and configuration
- Backup and restore
- Cluster and availability nuances
- Best practices
Summary and Conclusion
Requirements
- System administration experience
- Familiarity with the Linux command line
- No previous experience with Elasticsearch is required
Audience
- System administrators
Testimonials
The demo of search data
Kenneth Wong - Hospital Authority
He is very knowledgeable and could answer all the questions
Chalmers Tekniska Högskola AB
The trainer's openness to questions and willingness to help/answer/explain.
Chalmers Tekniska Högskola AB
I liked that we got a general overview of elastic and learned tons of things that could be applied in current project the first day. I also liked that we went through current project code with a code review and mention improvements or/and stuff to think about or take up for discussion in the project on the second day. I like that the training gave me a good base to continue delve into elastic search.
Mattias Hansson - Chalmers Tekniska Högskola AB
Trainer was very open minded about questions and tried to answer as many as possible.
- Quidco
The content relevnt and to the point
Qiniso Mdletshe - Quidco
Relaxed style. Help with the issues we were having with current setup.
- Quidco
Doing the exercises. I really enjoyed the practicals.
Warren Stephen - Quidco
Marcin knew exactly what he talking about and had proper hands on in-depth experience with the tools. He had answers to all our questions and made some really strong recommendations that we could start working towards with future projects and uses.
Conor Glasman - Quidco
I thought the training was very thorough and while we covered a lot of material, Martin made ample time for questions and gave good focus to each individual and their different requirements.
Jeán Thysse - Quidco
Using the Elasticsearch tool
BMW
The traininer is a subject matter expert.
BMW
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