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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

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

Beats – Distributed Monitoring

  • Configuration and deployment of Filebeat, Auditbeat, Winlogbeat, and Packetbeat
  • Securing data shipping via SSL
  • Evaluation 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
  • Utilizing Logstash for data parsing and transformation
  • Application of filters: grok, dissect, kv, mutate, and date
  • Establishing database connections (Oracle, PostgreSQL, SQL Server) using the JDBC input plugin
  • Practical scenarios: error logs, audit trails, traces, and slow queries

Advanced Search and Regular Expressions

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

Custom Dashboards and Visualizations in Kibana

  • Visualization types: bar, line, maps, and tables
  • Utilization of aggregations and metrics
  • Implementation of dynamic filters, controls, and drill-down features
  • Dashboard sharing mechanisms
  • Practical exercises: creating dashboards from database and system logs

Alerts and Email Notifications

  • Introduction to Watcher and alternatives (ElastAlert, Kibana Alerts)
  • Creation of custom conditions and triggers
  • Configuration of email outputs
  • Exercise: triggering alerts upon detection of critical events in Windows or database logs

User and Permission Management

  • Overview of X-Pack and available free options
  • Creation of users and roles
  • Access control based on index, dashboard, and query
  • Exercise: defining roles for audit and operations

Elasticsearch REST API

  • Foundations 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

  • Fundamental understanding of the ELK Stack architecture and its components
  • Experience in log ingestion and visualization using Kibana and Logstash
  • Familiarity with the Linux command line and basic scripting

Audience

  • System Administrators
  • Infrastructure Engineers
  • Technical teams aiming to enhance advanced log centralization capabilities

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