ELK DEVELOPER

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The ELK Developer course is designed for learners who want to work with the ELK Stack—Elasticsearch, Logstash, and Kibana—to collect, process, analyze, and visualize data. The training covers log management, data ingestion, search capabilities, dashboard creation, monitoring, and real-time analytics. Students learn how organizations use ELK to gain insights from large volumes of application and system data. As data monitoring and observability become increasingly important, this course is ideal for developers, DevOps engineers, system administrators, data professionals, and IT learners looking to build skills in log analytics and data visualization.

Duration of Training : Hours
Batch type : Weekdays/Weekends
Mode of Training : Classroom/Online/Corporate Training
Detailed Syllabus : Elasticsearch + Logstash + Kibana with Projects,
Assignments & Job-Oriented Scenarios

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Overview

The Syllabus

Curriculum Designed by Experts

Module 1: Introduction to ELK Stack

What is ELK Stack?
ELK Architecture Overview
Components of ELK
Elasticsearch Overview
Logstash Overview
Kibana Overview
Beats Overview
Real-Time Log Analytics Concepts
Centralized Logging Architecture
Use Cases of ELK Stack
ELK vs Splunk Comparison
Event-Driven Monitoring Basics

Module 2: ELK Installation & Environment Setup

Installing Elasticsearch
Installing Logstash
Installing Kibana
Installing Filebeat & Metricbeat
Linux-Based ELK Setup
Windows-Based ELK Setup
Docker-Based ELK Deployment
Cluster Configuration Basics
Service Management
ELK Configuration Files
Troubleshooting Installation Issues

Module 3: Elasticsearch Fundamentals

Elasticsearch Architecture
Nodes & Clusters
Shards & Replicas
Indices & Documents
Mapping Concepts
Data Types
Inverted Index Basics
Query DSL Basics
CRUD Operations
Full Text Search
Aggregations
Filters & Queries
Index Templates
Aliases
Data Retention Concepts

Module 4: Logstash Development

Logstash Architecture
Input Plugins
Filter Plugins
Output Plugins
Log Parsing Concepts
Grok Filters
Date Filters
Mutate Filters
Conditional Statements
Data Transformation
Log Enrichment
Pipeline Configuration
Multi-Pipeline Setup
Performance Optimization

Module 5: Kibana Development & Visualization

Kibana Interface Overview
Index Pattern Creation
Discover Section
Dashboard Creation
Data Visualization
Pie Charts
Line Charts
Tables & Metrics
Canvas Basics
Maps Visualization
Filters & Queries
Real-Time Dashboards
Reporting Features
Kibana Alerting Basics

Module 6: Beats & Data Collection

Filebeat

Filebeat Installation
Log Collection Configuration
Multiline Log Handling
Filebeat Modules

Metricbeat

System Monitoring
CPU & Memory Metrics
Docker Monitoring
Kubernetes Monitoring

Packetbeat

Network Traffic Monitoring
Packet Analysis Basics

Winlogbeat

Windows Event Collection

Module 7: Advanced Elasticsearch Development

Advanced Query DSL
Nested Queries
Aggregation Pipelines
Search Optimization
Reindexing Data
Snapshot & Restore
Data Lifecycle Management
Index Optimization
Cluster Health Monitoring
Hot-Warm Architecture Basics
Cross Cluster Search
Scaling Elasticsearch

Module 8: ELK Security

Elasticsearch Security Basics
User Authentication
Role-Based Access Control
SSL/TLS Encryption
Secure Kibana Access
API Security
Audit Logging
Secure Data Pipelines
X-Pack Security Features
Security Best Practices

Module 9: ELK on Cloud & Kubernetes

ELK on AWS
ELK on Azure
ELK on Google Cloud
ELK Deployment using Docker
ELK on Kubernetes
Helm Basics for ELK
Elastic Cloud Overview
Scaling ELK in Cloud
High Availability Setup

Module 10: Monitoring & Performance Tuning

Elasticsearch Monitoring
Cluster Monitoring
Logstash Performance Tuning
Kibana Optimization
Memory Management
JVM Tuning Basics
Monitoring Dashboards
Alerting Configuration
Capacity Planning
Troubleshooting Performance Issues

Module 11: ELK for Security Monitoring & SIEM

SIEM Fundamentals
Centralized Log Monitoring
Threat Detection Basics
Windows Event Monitoring
Linux Log Monitoring
Firewall Log Analysis
Threat Hunting Basics
Alert Correlation
IOC Monitoring
Security Dashboards

Module 12: ELK Integration with Applications

Application Log Monitoring
ELK with Java Applications
ELK with Python Applications
ELK with Spring Boot
ELK with Microservices
API Log Monitoring
Database Log Monitoring
Real-Time Error Tracking

Module 13: Automation & DevOps Integration

CI/CD Log Monitoring
Jenkins Integration
Docker Log Collection
Kubernetes Log Aggregation
Automated Alerting
Infrastructure Monitoring
ELK Automation Basics
Infrastructure as Code Concepts

Module 14: Real-Time Analytics & Use Cases

Business Analytics Dashboards
E-Commerce Monitoring
Application Performance Monitoring
Fraud Detection Dashboards
User Activity Analytics
IoT Log Analytics
Real-Time Monitoring Systems
AI & ML Integration Basics

Module 15: Troubleshooting & Best Practices

Cluster Recovery
Index Corruption Handling
Shard Allocation Issues
Logstash Debugging
Kibana Troubleshooting
Performance Bottleneck Analysis
Production Deployment Best Practices
Backup & Disaster Recovery

🔬 Hands-on Labs & Assignments

ELK Stack Installation
Logstash Pipeline Development
Elasticsearch CRUD Operations
Kibana Dashboard Creation
Filebeat Log Collection
Security Log Monitoring
Docker Log Aggregation
Kubernetes Log Monitoring
Alert Configuration
Cluster Health Analysis

🚀 Real-Time Projects

Project 1: Centralized Log Monitoring Platform
Multi-server log collection
Real-time dashboards
Alerting mechanisms

Project 2: Application Performance Monitoring
Monitor application logs
Error analysis dashboard
Performance visualization

Project 3: Security Monitoring SIEM
Windows & Linux log monitoring
Threat detection dashboards
Security alerting workflows

Project 4: Kubernetes Monitoring using ELK
Container log aggregation
Pod monitoring
Cluster analytics

Project 5: E-Commerce Analytics Dashboard
User activity tracking
Real-time business analytics
Error monitoring

🎯 Job-Oriented Scenarios

Elasticsearch Cluster Failure Recovery
Log Parsing Troubleshooting
Real-Time Log Analytics
SIEM Dashboard Investigation
Kubernetes Logging Challenges
Application Error Analysis
High Volume Log Processing
Infrastructure Monitoring Issues
Performance Bottleneck Troubleshooting

🏆 Assignments

Create Kibana Dashboards
Develop Logstash Pipelines
Configure Filebeat Modules
Optimize Elasticsearch Queries
Build Monitoring Alerts
Analyze Security Logs
Implement ELK Security Controls

💼 Target Job Roles

ELK Developer
Elasticsearch Engineer
Log Analytics Engineer
SIEM Engineer
Monitoring Engineer
DevOps Engineer
Site Reliability Engineer (SRE)
Security Monitoring Analyst
Observability Engineer

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Global Certification Preparation

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Assignments and Projects Guided by Mentors

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Course completion certificate and Global Certifications are part of our all Master Program

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Weekend / Weekdays / Morning / Evening Batches

80:20 Practical and Theory Ratio

Real-life Case Studies

Easy Coverup if you missed any sessions

PSI | Kryterion | Redhat Test Centers

Life Time Video Classroom Access ( coming soon )

Resume Preparations and Mock Interviews

And Many More Features

Course completion certificate and Global Certifications are part of our all Master Program

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Self Paced Learning

Learn 300+ Courses at Your Own Time

50000+ Satisfied Learners

Course Completion Certificate

Practical Labs Available

Mentor Support Available

Doubt Clearing Session Available

Attend Our Virtual Job Fair

10% Discounted Global Certification

Course completion certificate and Global Certifications are part of our all Master Program

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Elk Developer Course Certification With Training In Kochi

Q: Module 6: Beats & Data Collection

Filebeat Filebeat Installation Log Collection Configuration Multiline Log Handling Filebeat Modules Metricbeat System Monitoring CPU & Memory Metrics Docker Monitoring Kubernetes Monitoring Packetbeat Network Traffic Monitoring Packet Analysis Basics Winlogbeat Windows Event Collection

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