ELK Stack Training by AcadNXT is designed to provide participants with practical expertise in centralized logging, search analytics, and data visualization using Elasticsearch, Logstash, and Kibana. This instructor-led training program covers ELK architecture, log ingestion pipelines, data indexing, search queries, dashboards, visualization, cluster management, and real-time log analytics. Participants will gain hands-on experience in building scalable log management and observability solutions for enterprise systems, enabling efficient monitoring, troubleshooting, and performance analysis of applications and infrastructure. The course is ideal for DevOps engineers, SREs, cloud engineers, and system administrators working in observability and monitoring domains.

• Understand ELK stack architecture and workflow
• Configure Elasticsearch clusters and indexes
• Build Logstash pipelines for log processing
• Create dashboards and visualizations in Kibana
• Perform advanced log analysis using Query DSL
• Implement centralized logging solutions
• Monitor system and application logs in real time
• Build scalable observability platforms

• DevOps Engineers
• Site Reliability Engineers (SREs)
• System Administrators
• Cloud Engineers
• Software Developers
• IT Operations Teams
• Security Engineers
• Observability and Monitoring Engineers

• Basic understanding of Linux/Unix systems
• Familiarity with command-line operations
• Basic knowledge of networking and web applications is helpful
• Understanding of system logs and monitoring concepts is beneficial

• Understanding ELK stack architecture and components
• Configuring Elasticsearch clusters for log storage and search
• Building log pipelines using Logstash
• Creating dashboards and visualizations in Kibana
• Writing queries using Elasticsearch Query DSL
• Implementing centralized logging solutions
• Monitoring application and infrastructure logs in real time
• Managing indices, mappings, and data lifecycle
• Troubleshooting system and application issues using logs
• Designing scalable observability solutions

After completing the ELK Stack Training, participants will be able to design and implement centralized logging and observability solutions using Elasticsearch, Logstash, and Kibana. Learners will gain practical expertise in log ingestion, search analytics, visualization, and monitoring enterprise-grade systems.

Introduction to ELK Stack and Observability

• Overview of logging and observability concepts
• Introduction to ELK stack architecture
• Elasticsearch, Logstash, and Kibana roles
• Data flow and pipeline architecture
• Setting up ELK environment

Elasticsearch Fundamentals

• Elasticsearch architecture and cluster components
• Indexes, documents, and mappings
• Basic CRUD operations
• Search queries and Query DSL basics
• Data storage and retrieval concepts

Logstash Data Processing Pipeline

• Introduction to Logstash pipeline
• Input, filter, and output plugins
• Parsing structured and unstructured logs
• Data transformation techniques
• Sending data to Elasticsearch

Kibana Visualization and Dashboards

• Introduction to Kibana interface
• Creating index patterns
• Building visualizations
• Designing dashboards
• Real-time log monitoring

Advanced Elasticsearch Concepts

• Aggregations and analytics
• Index lifecycle management
• Performance optimization techniques
• Cluster scaling and monitoring
• Data sharding and replication concepts

Log Management and Troubleshooting

• Centralized logging strategies
• Debugging application logs
• Identifying system issues using logs
• Log parsing best practices
• Handling high-volume log data

Day Three

Security and Monitoring in ELK

• Role-based access control in Elasticsearch
• Securing Kibana dashboards
• Audit logging concepts
• Monitoring cluster health
• Alerting and anomaly detection basics

Integration and Real-World Use Cases

• Integrating ELK with applications
• Cloud-based logging solutions
• DevOps and CI/CD integration
• Observability in microservices architecture
• Use cases in production environments

Mini Project and Practical Implementation

• Building end-to-end log analytics solution using ELK
• Configuring Logstash pipelines for real-time logs
• Creating Kibana dashboards for monitoring
• Implementing search and alerting use case
• Final project review and optimization

• Elasticsearch architecture and query DSL
• Logstash pipeline configuration
• Kibana dashboards and visualizations
• Index management and data modeling
• Log analysis and troubleshooting
• Cluster monitoring and optimization
• Security and access control in ELK
• ELK mini project implementation

• Hands-on Elasticsearch query exercises
• Logstash pipeline configuration tasks
• Kibana dashboard creation assignments
• Log analysis and troubleshooting activities
• Mini project development and evaluation
• Observability and monitoring simulations

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Participants who successfully complete the training will receive an AcadNXT Certification in ELK Stack (Elasticsearch, Logstash, Kibana) Training, validating their expertise in centralized logging, search analytics, data visualization, and enterprise observability solutions.