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Course Outline

Introduction

  • Overview of the Elastic Stack (ELK) for government environments.

Module 1: ELK Stack Architecture and Assessment of Current Infrastructure

  • Evaluation of the existing Altor CB infrastructure.
  • Core components of the ELK ecosystem: Elasticsearch, Logstash, Kibana, and Beats.
  • Comparison of Ingest nodes versus Logstash for data processing.
  • Scalability and performance optimization for on-premises deployments relevant to government operations.
  • Administrative best practices for secure management.

Module 2: Distributed Monitoring with Beats (2 hours)

  • Deployment and configuration of Filebeat, Auditbeat, Winlogbeat, and Packetbeat.
  • Implementation of SSL encryption for secure data transmission.
  • Differentiation between preconfigured modules and custom input configurations.
  • Integration protocols with Logstash and Ingest Pipelines.

Module 3: Log Parsing and Ingestion from Applications and Databases (4 hours)

  • Methods for ingesting custom application logs into government systems.
  • Leveraging 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 applications: processing error logs, audit trails, traces, and slow queries for compliance.

Module 4: Advanced Search Techniques and Regular Expressions (2 hours)

  • Advanced search syntax capabilities within Kibana.
  • Effective use of regular expressions (regex) for data pattern matching.
  • Utilization of logical operators (OR/AND) in filters.
  • Navigation of nested fields and arrays.
  • Strategies for saving and reusing queries and filters to support government workflows.

Module 5: Custom Dashboards and Data Visualizations in Kibana (3 hours)

  • Visualization options: bar charts, line graphs, maps, and tables for public sector reporting.
  • Application of aggregations and metrics.
  • Implementation of dynamic filters, controls, and drill-down features.
  • Protocols for dashboard sharing among authorized personnel.
  • Exercises: constructing dashboards from database and system logs.

Module 6: Alerting Mechanisms and Email Notifications (3 hours)

  • Overview of Watcher and alternative solutions such as ElastAlert and Kibana Alerts for government use cases.
  • Development of custom conditions and trigger mechanisms.
  • Configuration of email output channels.
  • Exercise: configuring alerts for critical events detected in Windows or database logs.

Module 7: User Access and Permission Management (2 hours)

  • Introduction to X-Pack capabilities and free-tier options.
  • Procedures for creating users and assigning roles.
  • Granular access control by index, dashboard, and query to ensure accountability.
  • Exercise: defining distinct roles for audit and operational teams.

Module 8: Elasticsearch REST API Utilization (3 hours)

  • Fundamentals of the Elasticsearch RESTful API for government integration.
  • Execution of GET and POST queries.
  • Techniques for manual and automated indexing.
  • Utilization of command-line and graphical tools such as curl and Postman.
  • Exercises: performing search, insert, delete, and update operations on documents.

Summary and Next Steps

Requirements

  • Knowledge of fundamental ELK Stack framework and constituent elements
  • Proficiency in collecting and visualizing log data utilizing Kibana and Logstash
  • Competence in Linux command-line operations and elementary scripting procedures

Audience

  • System administrators
  • Infrastructure engineers
  • Technical personnel pursuing enhanced log centralization solutions for government operations
 21 Hours

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