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Duration 21 hours
Course Outline
Introduction
- General overview of the Elastic Stack (ELK)
ELK Stack Architecture and Review of Existing Environment
- Review of Altor CB's current architecture
- ELK architecture: Elasticsearch, Logstash, Kibana, and Beats
- Comparison between Ingest nodes and Logstash
- Scalability and performance considerations for on-premise installations
- Best practices for administration
Beats – Distributed Monitoring
- Configuration and utilization of Filebeat, Auditbeat, Winlogbeat, and Packetbeat
- Secure shipping via SSL
- Differences between preconfigured modules and custom inputs
- Integration with Logstash and Ingest Pipelines
Parsing and Ingesting Logs from Applications and Databases
- Ingestion of custom logs from applications
- Utilizing Logstash for data parsing and transformation
- Application of filters: grok, dissect, kv, mutate, and 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)
- Use of filters and OR/AND logical combinations
- Handling nested fields and arrays
- Saving reusable queries and filters
Custom Dashboards and Visualizations in Kibana
- Visualization types: bar charts, line graphs, maps, and tables
- Aggregations and metrics analysis
- Dynamic filters, controls, and drill-down features
- Dashboard sharing capabilities
- Exercises: creating dashboards from database and system logs
Alerts and Email Notifications
- Introduction to Watcher and alternatives (ElastAlert, Kibana Alerts)
- Creating custom conditions and triggers
- Configuring email output
- Exercise: sending alerts upon detection of critical events in Windows or database logs
User and Permission Management
- Overview of X-Pack and free-tier options
- Creating users and roles
- Access control by index, dashboard, and query
- Exercise: defining roles for audit and operations teams
Elasticsearch REST API
- Foundations of the Elasticsearch RESTful API
- Executing GET and POST queries
- Manual and automated indexing processes
- Utilizing tools such as curl and Postman
- Exercises: searching, inserting, deleting, and updating documents
Requirements
- A solid understanding of basic ELK Stack architecture and components
- Experience in ingesting and visualizing logs using Kibana and Logstash
- Familiarity with the Linux command line and basic scripting
Target Audience
- System administrators
- Infrastructure engineers
- Technical teams seeking advanced log centralization 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
