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Duration 21 hours
Course Outline
Introduction
- Broad overview of the Elastic Stack (ELK)
ELK Stack Architecture and Current Environment Assessment
- Assessment of the existing Altor CB architecture
- ELK components: Elasticsearch, Logstash, Kibana, and Beats
- Comparison between Ingest nodes and Logstash
- Scalability and performance factors in on-premise deployments
- Best practices for administration
Beats – Distributed Monitoring
- Setup and application of Filebeat, Auditbeat, Winlogbeat, and Packetbeat
- Secure data transmission via SSL
- Differentiating preconfigured modules from custom inputs
- Integration with Logstash and Ingest Pipelines
Log Parsing and Ingestion from Applications and Databases
- Ingesting custom application logs
- Leveraging 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)
- Use of filters and OR/AND logical combinations
- Handling nested fields and arrays
- Storing reusable queries and filters
Custom Dashboards and Visualizations in Kibana
- Visualization options: bar charts, line graphs, maps, and tables
- Aggregations and metric calculations
- Dynamic filters, controls, and drill-down capabilities
- Dashboard sharing protocols
- Practical exercises: building dashboards from database and system logs
Alerts and Email Notifications
- Overview of Watcher and alternative solutions (ElastAlert, Kibana Alerts)
- Defining custom conditions and triggers
- Configuring email output settings
- Exercise: triggering alerts upon detection of critical events in Windows or database logs
User and Permission Management
- Introduction to X-Pack and available free options
- Creation of users and roles
- Access control based on index, dashboard, and query levels
- Exercise: defining roles for audit and operations teams
Elasticsearch REST API
- Foundational concepts of the Elasticsearch RESTful API
- Executing GET and POST queries
- Manual and automated indexing processes
- Utilization of tools such as curl and Postman
- Exercises: searching, inserting, deleting, and updating documents
Requirements
- A solid grasp of fundamental ELK Stack architecture and its core components
- Practical experience in log ingestion and visualization using Kibana and Logstash
- Comfort with the Linux command line and basic scripting skills
Target Audience
- System administrators
- Infrastructure engineers
- Technical teams aiming to advance 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
