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Duration 21 hours
Course Outline
Introduction
- Broad overview of the Elastic Stack (ELK)
ELK Stack Architecture and Review of Existing Environment
- Analysis of the current Altor CB architecture
- ELK architecture components: Elasticsearch, Logstash, Kibana, and Beats
- Comparison between Ingest nodes and Logstash
- Scalability and performance factors in on-premise setups
- Best practices for administration
Beats – Distributed Monitoring
- Configuring and utilizing Filebeat, Auditbeat, Winlogbeat, and Packetbeat
- Secure data transmission using SSL
- Premodules versus custom inputs
- Integration strategies with Logstash and Ingest Pipelines
Parsing and Ingesting Logs from Applications and Databases
- Collecting custom logs from various applications
- Employing Logstash for data parsing and transformation
- Applying filters such as 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 and Regular Expressions
- Advanced search syntax within Kibana
- Application of regular expressions (regex)
- Combining filters with OR/AND logic
- Handling nested fields and arrays
- Storing reusable queries and filter sets
Custom Dashboards and Visualizations in Kibana
- Visualization options: bar charts, line graphs, maps, and tables
- Utilizing aggregations and metrics
- Dynamic filters, controls, and drill-down functionalities
- Dashboard sharing protocols
- Hands-on exercises: building dashboards from database and system logs
Alerts and Email Notifications
- Overview of Watcher and alternatives like ElastAlert and Kibana Alerts
- Defining custom conditions and triggers
- Configuring email outputs
- Exercise: triggering alerts upon detecting critical events in Windows or database logs
User and Permission Management
- Introduction to X-Pack and available free features
- Creating user accounts and roles
- Access control based on indices, dashboards, and queries
- Exercise: defining roles for audit and operational teams
Elasticsearch REST API
- Basics 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 grasp of the fundamental ELK Stack architecture and its components
- Practical experience in ingesting and visualizing logs via Kibana and Logstash
- Proficiency with the Linux command line and basic scripting tasks
Target Audience
- System administrators
- Infrastructure engineers
- Technical teams aiming to enhance their 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