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 Duration 21 hours

Course Outline

Introduction

  • Broad overview of the Elastic Stack (ELK)

ELK Stack Architecture and Current Environment Review

  • Assessment of Altor CB’s existing architecture
  • Components of the ELK stack: Elasticsearch, Logstash, Kibana, and Beats
  • Comparison between Ingest nodes and Logstash
  • Scalability and performance factors in on-premise deployments
  • Best practices for administration

Beats – Distributed Monitoring

  • Setup and application of Filebeat, Auditbeat, Winlogbeat, and Packetbeat
  • Securing data transmission with SSL
  • Differentiation between preconfigured modules and custom inputs
  • Integration with Logstash and Ingest Pipelines

Log Parsing and Ingestion from Applications and Databases

  • Capturing custom logs from various applications
  • Employing 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
  • Real-world scenarios: error logs, audit trails, traces, and slow queries

Advanced Search and Regular Expressions

  • Complex search syntax within Kibana
  • Application of regular expressions (regex)
  • Utilization of filters with OR/AND logical combinations
  • Handling nested fields and arrays
  • Preserving reusable queries and filters

Custom Dashboards and Visualizations in Kibana

  • Types of visualizations: bar charts, line graphs, maps, and tables
  • Implementing aggregations and metrics
  • Using dynamic filters, controls, and drill-down capabilities
  • Sharing dashboards
  • Practical tasks: building dashboards from database and system logs

Alerts and Email Notifications

  • Overview of Watcher and alternative solutions (ElastAlert, Kibana Alerts)
  • Defining custom conditions and triggers
  • Configuring email outputs
  • Practical task: triggering 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
  • Implementing access controls for indices, dashboards, and queries
  • Practical task: defining roles for audit and operations teams

Elasticsearch REST API

  • Fundamentals of the Elasticsearch RESTful API
  • Executing GET and POST queries
  • Managing manual and automated indexing
  • Using tools such as curl and Postman
  • Practical tasks: performing search, insertion, deletion, and update operations on documents

Requirements

  • A solid grasp of fundamental ELK Stack architecture and components
  • Practical experience in ingesting and visualizing logs via Kibana and Logstash
  • Proficiency with the Linux command line and basic scripting

Target Audience

  • System administrators
  • Infrastructure engineers
  • Technical teams aiming to implement advanced log centralization strategies

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