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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
- Assessment of the current Altor CB architecture
- ELK components: Elasticsearch, Logstash, Kibana, and Beats
- Ingest nodes compared with Logstash
- Scalability and performance factors in on-premise setups
- Best practices for administration
Beats – Distributed Monitoring
- Configuration and application of Filebeat, Auditbeat, Winlogbeat, and Packetbeat
- Secure data transmission via SSL
- Preconfigured modules versus custom inputs
- Integration with Logstash and Ingest Pipelines
Parsing and Ingesting Logs from Applications and Databases
- Ingestion of custom application logs
- Utilizing Logstash for data parsing and transformation
- Application of filters: grok, dissect, kv, mutate, and date
- Database connectivity (Oracle, PostgreSQL, SQL Server) via the JDBC input plugin
- Practical scenarios: error logs, audit trails, traces, and slow queries
Advanced Search and Regular Expressions
- Advanced search syntax within Kibana
- Application of regular expressions (regex)
- Filters and OR/AND logical combinations
- Handling nested fields and arrays
- Saving queries and filters for reuse
Custom Dashboards and Visualizations in Kibana
- Visualization types: bar, line, maps, and tables
- Aggregations and metrics
- Dynamic filters, controls, and drill-down capabilities
- Dashboard sharing protocols
- Practical exercise: constructing dashboards from database and system logs
Alerts and Email Notifications
- Overview of Watcher and alternatives (ElastAlert, Kibana Alerts)
- Defining custom conditions and triggers
- Email output setup
- Practical exercise: configuring alerts for 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
- Practical exercise: establishing roles for audit and operations teams
Elasticsearch REST API
- Fundamentals of the Elasticsearch RESTful API
- GET and POST query structures
- Manual and automated indexing processes
- Utilization of tools such as curl and Postman
- Practical exercises: searching, inserting, deleting, and updating documents
Requirements
- A foundational understanding of the basic ELK Stack architecture and its components
- Practical experience in ingesting and visualizing logs using Kibana and Logstash
- Proficiency with the Linux command line and basic scripting concepts
Target Audience
- System administrators
- Infrastructure engineers
- Technical teams aiming to acquire 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
