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Course Outline
Introduction
- General overview of the Elastic Stack (ELK)
Module 1: ELK Stack Architecture and Review of Existing Environment
- Review of the current architecture of Altor CB
- ELK architecture: Elasticsearch, Logstash, Kibana, Beats
- Ingest node vs. Logstash
- Scalability and performance considerations in on-premise installations
- Administration best practices
Module 2: Beats – Distributed Monitoring (2 hours)
- Configuration and use of Filebeat, Auditbeat, Winlogbeat, and Packetbeat
- Secure shipping with SSL
- Preconfigured modules vs. custom inputs
- Integration with Logstash and Ingest Pipelines
Module 3: Parsing and Ingesting Logs from Applications and Databases (4 hours)
- Ingesting custom logs from applications
- Using Logstash for data parsing and transformation
- Use of filters: grok, dissect, kv, mutate, date
- Database connections (Oracle, PostgreSQL, SQL Server) using JDBC input plugin
- Practical cases: error logs, audit trails, traces, slow queries
Module 4: Advanced Search and Regular Expressions (2 hours)
- Advanced search syntax in Kibana
- Use of regular expressions (regex)
- Filters and OR/AND combinations
- Nested fields and arrays
- Saving reusable queries and filters
Module 5: Custom Dashboards and Visualizations in Kibana (3 hours)
- Visualization types: bar, line, maps, tables
- Aggregations and metrics
- Dynamic filters, controls, and drill-down features
- Dashboard sharing
- Exercises: creating dashboards from database and system logs
Module 6: Alerts and Email Notifications (3 hours)
- Introduction to Watcher and alternatives (ElastAlert, Kibana Alerts)
- Creating custom conditions and triggers
- Email output configuration
- Exercise: send alert when a critical event is detected in Windows or database logs
Module 7: User and Permission Management (2 hours)
- Introduction to X-Pack and free options
- Creating users and roles
- Access control by index, dashboard, and query
- Exercise: define roles for audit and operations
Module 8: Elasticsearch REST API (3 hours)
- Foundations of Elasticsearch RESTful API
- GET / POST queries
- Manual and automated indexing
- Using tools like curl and Postman
- Exercises: searching, inserting, deleting, and updating documents
Summary and Next Steps
Requirements
- An understanding of the basic ELK Stack architecture and components
- Experience with ingesting and visualizing logs using Kibana and Logstash
- Familiarity with Linux command line and basic scripting
Audience
- System administrators
- Infrastructure engineers
- Technical teams seeking advanced log centralization capabilities
21 Hours
Testimonials (2)
El material teorico mostrado y el detalle de las practicas
CESAR - ALTOR CASA DE BOLSA
Course - Advanced ELK Stack for Log Management and Centralization
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