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Course Outline

Introduction

  • Comprehensive overview of the Elastic Stack (ELK)

Module 1: ELK Stack Architecture and Review of Existing Environment

  • Assessment of Altor CB's current architecture
  • ELK architecture deep-dive: Elasticsearch, Logstash, Kibana, Beats
  • Distinguishing between Ingest nodes and Logstash
  • Scalability and performance optimization for on-premise deployments
  • Administration best practices

Module 2: Beats – Distributed Monitoring (2 hours)

  • Configuration and utilization of Filebeat, Auditbeat, Winlogbeat, and Packetbeat
  • Securing data transmission via SSL
  • Evaluating preconfigured modules versus custom inputs
  • Integration strategies with Logstash and Ingest Pipelines

Module 3: Parsing and Ingesting Logs from Applications and Databases (4 hours)

  • Acquiring custom logs from applications
  • Employing Logstash for data parsing and transformation
  • Utilizing filters: grok, dissect, kv, mutate, date
  • Establishing database connections (Oracle, PostgreSQL, SQL Server) via JDBC input plugin
  • Practical scenarios: handling error logs, audit trails, traces, and slow queries

Module 4: Advanced Search and Regular Expressions (2 hours)

  • Mastering advanced search syntax in Kibana
  • Applying regular expressions (regex)
  • Constructing filters with OR/AND logic
  • Navigating nested fields and arrays
  • Storing and reusing queries and filters

Module 5: Custom Dashboards and Visualizations in Kibana (3 hours)

  • Exploring visualization types: bar charts, line graphs, maps, tables
  • Understanding aggregations and metrics
  • Implementing dynamic filters, controls, and drill-down functionalities
  • Sharing dashboards across teams
  • Practical exercises: building dashboards from database and system logs

Module 6: Alerts and Email Notifications (3 hours)

  • Overview of Watcher and alternative tools (ElastAlert, Kibana Alerts)
  • Designing custom conditions and triggers
  • Configuring email output settings
  • Exercise: triggering alerts for critical events detected in Windows or database logs

Module 7: User and Permission Management (2 hours)

  • Introduction to X-Pack and its free-tier options
  • Creating distinct users and roles
  • Enforcing access control based on index, dashboard, and query parameters
  • Exercise: defining roles for audit and operational teams

Module 8: Elasticsearch REST API (3 hours)

  • Understanding the fundamentals of Elasticsearch RESTful API
  • Executing GET and POST queries
  • Performing manual and automated indexing operations
  • Utilizing tools such as curl and Postman
  • Exercises: searching, inserting, deleting, and updating documents

Summary and Next Steps

Requirements

  • A foundational understanding of ELK Stack architecture and its core components
  • Practical experience in ingesting and visualizing logs using Kibana and Logstash
  • Competency with the Linux command line and basic scripting skills

Audience

  • System administrators
  • Infrastructure engineers
  • Technical teams looking to implement advanced log centralization capabilities
 21 Hours

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