Course Outline
Introduction
- Comprehensive overview of the Elastic Stack (ELK).
Module 1: ELK Stack Architecture and Review of Existing Environment
- Review of the current Altor CB architecture.
- ELK architecture breakdown: Elasticsearch, Logstash, Kibana, and Beats.
- Differences between Ingest nodes and Logstash.
- Scalability and performance strategies for on-premise deployments.
- Best practices for administration.
Module 2: Beats – Distributed Monitoring (2 hours)
- Configuration and application of Filebeat, Auditbeat, Winlogbeat, and Packetbeat.
- Secure data transmission using SSL.
- Comparing preconfigured modules with custom inputs.
- Integration with Logstash and Ingest Pipelines.
Module 3: Parsing and Ingesting Logs from Applications and Databases (4 hours)
- Strategies for ingesting custom application logs.
- Utilizing Logstash for data parsing and transformation.
- Employing filters such as grok, dissect, kv, mutate, and date.
- Establishing database connections (Oracle, PostgreSQL, SQL Server) via the JDBC input plugin.
- Practical scenarios: processing error logs, audit trails, traces, and slow queries.
Module 4: Advanced Search and Regular Expressions (2 hours)
- Mastering advanced search syntax in Kibana.
- Effective use of regular expressions (regex).
- Combining filters using OR and AND logic.
- Navigating nested fields and arrays.
- Saving and reusing queries and filters.
Module 5: Custom Dashboards and Visualizations in Kibana (3 hours)
- Overview of visualization types: bar charts, line graphs, maps, and tables.
- Understanding aggregations and metrics.
- Implementing dynamic filters, controls, and drill-down capabilities.
- Dashboards sharing protocols.
- Hands-on exercises: building dashboards from database and system logs.
Module 6: Alerts and Email Notifications (3 hours)
- Introduction to Watcher and alternative solutions like ElastAlert and Kibana Alerts.
- Designing custom conditions and triggers.
- Configuring email output settings.
- Exercise: setting up alerts for critical events in Windows or database logs.
Module 7: User and Permission Management (2 hours)
- Introduction to X-Pack and free-tier options.
- Creating users and defining roles.
- Implementing access control across indices, dashboards, and queries.
- Exercise: defining specific roles for audit and operational teams.
Module 8: Elasticsearch REST API (3 hours)
- Core concepts of the Elasticsearch RESTful API.
- Executing GET and POST queries.
- Manual and automated indexing techniques.
- Utilizing tools such as curl and Postman.
- Exercises: performing search, insert, delete, and update operations on documents.
Summary and Next Steps
Requirements
- Foundational knowledge of ELK Stack architecture and its core components.
- Hands-on experience with log ingestion and visualization using Kibana and Logstash.
- Proficiency in Linux command-line operations and basic scripting.
Target Audience
- System administrators.
- Infrastructure engineers.
- Technical teams aiming to implement advanced log centralization solutions.
Testimonials (2)
The theoretical material shown and the detail of the practices
CESAR - ALTOR CASA DE BOLSA
Course - Advanced ELK Stack for Log Management and Centralization
Machine Translated
the teachers' attitude of wanting to help us with our doubts
Roberto - ALTOR CASA DE BOLSA
Course - Advanced ELK Stack for Log Management and Centralization
Machine Translated
