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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

  • Examination of Altor CB's current architecture.
  • Core ELK components: Elasticsearch, Logstash, Kibana, and Beats.
  • Differences between Ingest nodes and Logstash.
  • Scalability and performance factors in on-premise setups.
  • Best practices for administration.

Beats – Distributed Monitoring

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

Parsing and Ingesting Logs from Applications and Databases

  • Ingestion of custom application logs.
  • Leveraging Logstash for data parsing and transformation.
  • Application of filters: grok, dissect, kv, mutate, and date.
  • 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 in Kibana.
  • Application of regular expressions (regex).
  • Using filters and OR/AND logical combinations.
  • Handling nested fields and arrays.
  • Creating and saving reusable queries and filters.

Custom Dashboards and Visualizations in Kibana

  • Types of visualizations: bar charts, line graphs, maps, and tables.
  • Utilizing aggregations and metrics.
  • Implementing dynamic filters, controls, and drill-down capabilities.
  • Dashboard sharing protocols.
  • Exercise: Constructing dashboards from database and system logs.

Alerts and Email Notifications

  • Overview of Watcher and alternatives (ElastAlert, Kibana Alerts).
  • Defining custom conditions and triggers.
  • Configuring email outputs.
  • Exercise: Triggering an alert 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 level.
  • Exercise: Defining roles for audit and operations teams.

Elasticsearch REST API

  • Basics of the Elasticsearch RESTful API.
  • Execution of 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 understanding of the fundamental ELK Stack architecture and its components.
  • Practical experience with log ingestion and visualization using Kibana and Logstash.
  • Familiarity with Linux command-line operations and basic scripting.

Target Audience

  • System administrators.
  • Infrastructure engineers.
  • Technical teams looking to advance their log centralization capabilities.

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