Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
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
14 Hours
Testimonials (2)
Informing about practical examples
Martin Gobschiba - A1 Telekom Austria AG
Course - ELK: Elasticsearch, Logstash and Kibana for Administrators
I enjoyed the exercices gives a good insight.
