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Duration 21 hours
Course Outline
Introduction
- General overview of the Elastic Stack (ELK)
ELK Stack Architecture and Current Environment Assessment
- Assessment of Altor CB's existing architecture
- ELK architecture components: Elasticsearch, Logstash, Kibana, and Beats
- Comparison between Ingest nodes and Logstash
- Scalability and performance factors for on-premise deployments
- Best practices for administration
Beats – Distributed Monitoring
- Configuration and application of Filebeat, Auditbeat, Winlogbeat, and Packetbeat
- Secure data transmission using SSL
- Differences between preconfigured modules and custom inputs
- Integration strategies with Logstash and Ingest Pipelines
Log Parsing and Ingestion from Applications and Databases
- Collecting custom logs from application layers
- Applying Logstash for data parsing and transformation
- Utilization of filters: grok, dissect, kv, mutate, and date
- Establishing database connections (Oracle, PostgreSQL, SQL Server) via the JDBC input plugin
- Practical scenarios: analyzing error logs, audit trails, traces, and slow queries
Advanced Search Techniques and Regular Expressions
- Advanced search syntax in Kibana
- Application of regular expressions (regex)
- Composing filters with OR and AND logic
- Handling nested fields and arrays
- Creating and saving reusable queries and filters
Custom Dashboards and Visualizations in Kibana
- Visualization options: bar charts, line graphs, maps, and tables
- Working with aggregations and metrics
- Implementing dynamic filters, controls, and drill-down features
- Sharing dashboards across teams
- Practical exercises: building dashboards from database and system logs
Alerts and Email Notifications
- Overview of Watcher and alternatives such as ElastAlert and Kibana Alerts
- Designing custom conditions and triggers
- Configuring email output settings
- Practical exercise: triggering alerts upon detection of critical events in Windows or database logs
User and Permission Management
- Overview of X-Pack and available free tier options
- Creation of users and role definitions
- Access control management at the index, dashboard, and query levels
- Practical 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
- Practical exercises: searching, inserting, deleting, and updating documents
Requirements
- Foundational knowledge of ELK Stack architecture and its core components
- Practical experience in ingesting and visualizing logs via Kibana and Logstash
- Proficiency with the Linux command line and basic scripting
Target Audience
- System administrators
- Infrastructure engineers
- Technical teams aiming to 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
