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 Duration 21 hours

Course Outline

Introduction

  • General overview of the Elastic Stack (ELK).

ELK Stack Architecture and Review of Existing Environment

  • Review of the current architecture of Altor CB.
  • ELK architecture components: Elasticsearch, Logstash, Kibana, and Beats.
  • Comparison of Ingest nodes versus Logstash.
  • Scalability and performance considerations for on-premise installations.
  • Administration best practices.

Beats – Distributed Monitoring

  • Configuration and utilization of Filebeat, Auditbeat, Winlogbeat, and Packetbeat.
  • Secure data shipping via SSL.
  • Distinguishing between preconfigured modules and custom inputs.
  • Integration with Logstash and Ingest Pipelines.

Parsing and Ingesting Logs from Applications and Databases

  • Ingesting custom logs from various applications.
  • Employing Logstash for data parsing and transformation.
  • Applying filters: grok, dissect, kv, mutate, and date.
  • Establishing database connections (Oracle, PostgreSQL, SQL Server) using the JDBC input plugin.
  • Practical case studies: error logs, audit trails, traces, and slow queries.

Advanced Search and Regular Expressions

  • Advanced search syntax within Kibana.
  • Application of regular expressions (regex).
  • Utilizing filters and OR/AND combinations.
  • Handling nested fields and arrays.
  • Saving reusable queries and filters.

Custom Dashboards and Visualizations in Kibana

  • Types of visualizations: bar, line, maps, and tables.
  • Utilizing aggregations and metrics.
  • Implementing dynamic filters, controls, and drill-down features.
  • Dashboard sharing capabilities.
  • Exercises: Creating dashboards derived from database and system logs.

Alerts and Email Notifications

  • Introduction to Watcher and alternatives such as ElastAlert and Kibana Alerts.
  • Defining custom conditions and triggers.
  • Configuring email output.
  • Exercise: Sending 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 by index, dashboard, and query.
  • Exercise: Defining roles for audit and operations.

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.
  • Exercises: Searching, inserting, deleting, and updating documents.

Requirements

  • A foundational understanding of the basic ELK Stack architecture and its components.
  • Experience in ingesting and visualizing logs using Kibana and Logstash.
  • Familiarity with the Linux command line and basic scripting.

Audience

  • System administrators.
  • Infrastructure engineers.
  • Technical teams seeking advanced log centralization capabilities.

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