ELK Stack – DevOps Monitoring

Module 1: ELK Stack Overview and Architecture

• ELK Stack components: Elasticsearch, Logstash, and Kibana
• Elastic Stack evolution: Beats, Fleet, and Elastic Agent additions
• ELK use cases: log analytics, APM, security analytics, and uptime
• Deploying ELK Stack with Docker Compose and Kubernetes

Module 2: Beats and Data Shipping

• Filebeat: shipping log files from servers and containers
• Metricbeat: collecting system and service metrics
• Packetbeat: network traffic analysis and protocol monitoring
• Elastic Agent: unified agent replacing individual Beats

Module 3: Logstash Pipeline Development

• Logstash pipeline architecture: inputs, filters, and outputs
• Grok filter: parsing unstructured log messages into structured fields
• Mutate, date, GeoIP, and useragent filter plugins
• Conditional logic in Logstash pipelines

Module 4: Elasticsearch Index Management for Logs

• Index naming conventions and rollover strategy
• Index Lifecycle Management (ILM): hot-warm-cold-delete phases
• Index templates and component templates for log indices
• Data streams for time-series log data management

Module 5: Kibana Discover and Log Analysis

• Kibana Discover: searching, filtering, and exploring log data
• KQL (Kibana Query Language) for log search
• Field statistics and log pattern analysis
• Saved searches and data views for team collaboration

Module 6: Kibana Dashboards and Visualisations

• Log volume visualisations: time series, bar charts, and heat maps
• Error rate and latency dashboards for application monitoring
• Maps: geo-visualisation of log source locations
• Canvas and Lens for custom presentation-quality dashboards

Module 7: Elastic APM and Observability

• Elastic APM overview: application performance monitoring
• APM agent integration: Node.js, Python, Java, and .NET
• APM traces, transactions, and span analysis in Kibana
• Correlating APM data with logs for full-stack observability

Module 8: Capstone Project and Assessment

• ELK Stack deployment and log pipeline for a multi-service application
• ILM policy setup and index management configuration
• Application log dashboard and APM integration project
• Final assessment and course certification

Experience in the Industry Learn from Elastic-certified engineers who have built centralised log management and observability platforms using the ELK Stack for DevOps teams managing distributed applications and cloud infrastructure.

Backgrounds at the Top Our ELK Stack trainers have deployed and operated Elastic Stack environments at technology companies, cybersecurity teams, and managed service providers where log analytics drives operational intelligence.

Clear & Effective Teaching ELK Stack architecture, Beats and Elastic Agent, Logstash pipelines, ILM, Kibana log analysis, dashboards, and Elastic APM are explained with practical DevOps log management and observability examples.

Hands-On Learning Focus Students deploy the ELK Stack, configure log pipelines, manage index lifecycles, build Kibana dashboards, and integrate Elastic APM through comprehensive hands-on lab exercises.

Up-to-Date Knowledge Trainers keep content current with the latest Elastic Stack releases, Elastic Agent and Fleet management, Elasticsearch Serverless, and evolving observability and log management best practices.