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Duration 21 hours
Course Outline
Introduction
- Comprehensive overview of the Elastic Stack (ELK).
ELK Stack Architecture and Environment Review
- Analysis of the current Altor CB architecture.
- ELK components: Elasticsearch, Logstash, Kibana, and Beats.
- Differences between Ingest nodes and Logstash.
- Scalability and performance factors in on-premise deployments.
- Best practices for administration.
Beats for Distributed Monitoring
- Configuration and application of Filebeat, Auditbeat, Winlogbeat, and Packetbeat.
- Secure data shipping using SSL.
- Comparison of preconfigured modules versus custom inputs.
- Integration with Logstash and Ingest Pipelines.
Log Parsing and Ingestion from Applications and Databases
- Ingesting custom logs from various applications.
- Utilizing Logstash for data parsing and transformation.
- Application of filters: grok, dissect, kv, mutate, and date.
- Establishing database connections (Oracle, PostgreSQL, SQL Server) via the JDBC input plugin.
- Practical scenarios: error logs, audit trails, traces, and slow queries.
Advanced Search Techniques and Regular Expressions
- Advanced search syntax within Kibana.
- Implementing regular expressions (regex).
- Using filters and OR/AND logical combinations.
- Handling nested fields and arrays.
- Saving reusable queries and filters.
Custom Kibana Dashboards and Visualizations
- Visualization types: bar, line, maps, and tables.
- Working with aggregations and metrics.
- Implementing dynamic filters, controls, and drill-down capabilities.
- Sharing dashboards effectively.
- Exercises: Building dashboards from database and system logs.
Alerting and Email Notifications
- Overview of Watcher and alternative tools (ElastAlert, Kibana Alerts).
- Defining custom conditions and triggers.
- Configuring email outputs.
- Exercise: Triggering alerts for critical events in Windows or database logs.
User and Permission Administration
- Introduction to X-Pack and available free options.
- Creating users and defining roles.
- Access control at the index, dashboard, and query level.
- 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 the basic ELK Stack architecture and its 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 aiming for advanced log centralization capabilities.
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