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Duration 21 hours
Course Outline
Introduction
- A general overview of the Elastic Stack (ELK)
ELK Stack Architecture and Review of Existing Environment
- Assessment of Altor CB's current architecture
- ELK architecture components: Elasticsearch, Logstash, Kibana, Beats
- Differences between Ingest nodes and Logstash
- Scalability and performance considerations for on-premise installations
- Administration best practices
Beats – Distributed Monitoring
- Configuration and utilisation of Filebeat, Auditbeat, Winlogbeat, and Packetbeat
- Secure data shipping via SSL
- Comparison of preconfigured modules and custom inputs
- Integration with Logstash and Ingest Pipelines
Parsing and Ingesting Logs from Applications and Databases
- Ingesting custom logs from application sources
- Utilising Logstash for data parsing and transformation
- Application of filters: grok, dissect, kv, mutate, date
- Establishing database connections (Oracle, PostgreSQL, SQL Server) using the JDBC input plugin
- Practical scenarios: error logs, audit trails, traces, and slow queries
Advanced Search and Regular Expressions
- Advanced search syntax within Kibana
- Implementation of regular expressions (regex)
- Utilising filters and OR/AND combinations
- Handling nested fields and arrays
- Saving reusable queries and filters
Custom Dashboards and Visualisations in Kibana
- Visualisation types: bar charts, line graphs, maps, and tables
- Aggregations and metrics calculation
- Dynamic filters, controls, and drill-down functionalities
- Sharing dashboards
- Exercises: creating dashboards from database and system logs
Alerts and Email Notifications
- Introduction to Watcher and alternatives (ElastAlert, Kibana Alerts)
- Defining custom conditions and triggers
- Configuring email outputs
- Exercise: sending alerts upon detecting critical events in Windows or database logs
User and Permission Management
- Introduction to X-Pack and free-tier options
- Creation of users and roles
- Access control based on index, dashboard, and query
- Exercise: defining roles for audit and operations teams
Elasticsearch REST API
- Foundations of the Elasticsearch RESTful API
- GET and POST queries
- Manual and automated indexing processes
- Utilising tools such as curl and Postman
- Exercises: searching, inserting, deleting, and updating documents
Requirements
- A solid understanding of the fundamental ELK Stack architecture and its components
- Practical experience in ingesting and visualising logs using Kibana and Logstash
- Familiarity with the Linux command line and basic scripting
Audience
- System administrators
- Infrastructure engineers
- Technical teams aiming for advanced log centralisation capabilities
Testimonials (2)
The content is very helpful, and the trainer makes it more easier to understand
Ibrahim Al mayahi - Vastech SA
Course - Advanced Elasticsearch and Kibana Administration
the profesionalism of the trainer; the way he tried to respond to all the questions; the review questions we had to ask: engaging us in conversations
