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 Duration 21 hours

Course Outline

Introduction

  • Comprehensive overview of the Elastic Stack (ELK).

ELK Stack Architecture and Environment Review

  • Analysis of the current Altor CB architecture.
  • ELK components: Elasticsearch, Logstash, Kibana, and Beats.
  • Differences between Ingest nodes and Logstash.
  • Scalability and performance factors in on-premise deployments.
  • Best practices for administration.

Beats for Distributed Monitoring

  • Configuration and application of Filebeat, Auditbeat, Winlogbeat, and Packetbeat.
  • Secure data shipping using SSL.
  • Comparison of preconfigured modules versus custom inputs.
  • Integration with Logstash and Ingest Pipelines.

Log Parsing and Ingestion from Applications and Databases

  • Ingesting custom logs from various applications.
  • Utilizing Logstash for data parsing and transformation.
  • Application of filters: 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 Techniques and Regular Expressions

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

Custom Kibana Dashboards and Visualizations

  • Visualization types: bar, line, maps, and tables.
  • Working with aggregations and metrics.
  • Implementing dynamic filters, controls, and drill-down capabilities.
  • Sharing dashboards effectively.
  • Exercises: Building dashboards from database and system logs.

Alerting and Email Notifications

  • Overview of Watcher and alternative tools (ElastAlert, Kibana Alerts).
  • Defining custom conditions and triggers.
  • Configuring email outputs.
  • Exercise: Triggering alerts for critical events in Windows or database logs.

User and Permission Administration

  • Introduction to X-Pack and available free options.
  • Creating users and defining roles.
  • Access control at the index, dashboard, and query level.
  • Exercise: Defining roles for audit and operations teams.

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 solid 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.

Target Audience

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

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