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Course Outline
Introduction
- High-level overview of the Elastic Stack (ELK)
ELK Stack Architecture and Environment Review
- Assessment of the current Altor CB architecture
- ELK components: Elasticsearch, Logstash, Kibana, and Beats
- Distinguishing between Ingest nodes and Logstash
- Scalability and performance factors for on-premise setups
- Best practices in administration
Beats – Distributed Monitoring
- Configuring and utilizing Filebeat, Auditbeat, Winlogbeat, and Packetbeat
- Secure data transmission via SSL
- Comparison of preconfigured modules and custom inputs
- Integration with Logstash and Ingest Pipelines
Parsing and Ingesting Logs from Apps and Databases
- Incorporating custom application logs
- Employing Logstash for data parsing and transformation
- Applying filters: grok, dissect, kv, mutate, and date
- Connecting to databases (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 Kibana search syntax
- Application of regular expressions (regex)
- Using filters with OR/AND logic 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
- Working with aggregations and metrics
- Implementing dynamic filters, controls, and drill-downs
- Sharing dashboards effectively
- Practical exercises: building dashboards from database and system logs
Alerts and Email Notifications
- Overview of Watcher and alternatives like ElastiAlert and Kibana Alerts
- Defining custom conditions and triggers
- Setting up email output
- Exercise: Trigger alerts for critical events in Windows or database logs
User and Permission Management
- Introduction to X-Pack and available free features
- Creating users and defining roles
- Managing access control across indexes, dashboards, and queries
- Exercise: Establishing roles for audit and operational purposes
Elasticsearch REST API
- Basics of the Elasticsearch RESTful API
- Executing GET and POST requests
- Manual and automated indexing processes
- Utilizing tools such as curl and Postman
- Exercises: Searching, adding, removing, and modifying documents
Requirements
- Fundamental knowledge of the ELK Stack architecture and its core components
- Practical experience in log ingestion and visualization using Kibana and Logstash
- Proficiency with the Linux command line and basic scripting
Target Audience
- System Administrators
- Infrastructure Engineers
- Technical teams aiming for advanced log centralization
21 Hours
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
