Master the ELK Stack: Real-Time Log Management & Analytics Certification Course

In today’s data-driven world, businesses need powerful tools to collect, manage, and analyze log and
event data from various systems in real-time. The ELK Stack — comprising Elasticsearch, Logstash,
and Kibana — is a powerful and widely used open-source solution that empowers organizations to
aggregate, analyze, and visualize log and event data with speed and precision.

The ELK Stack has become the de facto standard for log management, allowing teams to monitor
applications, infrastructure, and security logs at scale, providing real-time insights into system
performance, security threats, and user behavior.

ENCODE-IT’s Comprehensive ELK Stack Certification Course is designed to provide you with a deep
understanding of Elasticsearch for powerful search capabilities, Logstash for log ingestion, and
Kibana for visualizing and analyzing data. This course will teach you how to set up, configure, and
operate the ELK Stack effectively in real-world environments.

Whether you’re a DevOps engineer, data analyst, or security professional, this course will help you
master the ELK Stack, enabling you to build scalable log management systems and gain actionable
insights from your data.

Salary Scale in India
The demand for professionals skilled in the ELK Stack is on the rise as more companies turn to real-
time log analytics to improve system monitoring and business decision-making. Entry-level positions
such as ELK Stack Developers or Log Management Engineers can expect salaries ranging from
₹6,00,000 to ₹10,00,000 annually in India. Experienced professionals, including DevOps Engineers,
Data Analysts, or Security Engineers with expertise in ELK Stack, can earn between ₹12,00,000 and
₹20,00,000 per year, depending on experience and company size. With the growing importance of
data-driven operations and security, professionals skilled in ELK Stack are highly sought after.

Placement Assistance & Certification
Upon successful completion of the Comprehensive ELK Stack Certification Course, ENCODE-IT offers
you an official certification that showcases your expertise in managing and analyzing log data with
Elasticsearch, Logstash, and Kibana. We also provide placement assistance to help you connect with
leading organizations that are looking for skilled professionals to manage their log data systems,
ensuring a smooth transition to your next role in the tech industry.

Course Curriculum

1. Introduction to ELK Stack and Its Components
 Overview of ELK Stack: What Is It and How Does It Work?
 Introduction to Elasticsearch, Logstash, and Kibana
 Key Use Cases: Log Management, Search Analytics, and Security Monitoring
 Setting Up ELK Stack: Installation and Configuration
 ELK Stack Architecture and Data Flow
 ELK vs Other Log Management Solutions: Key Benefits

2. Working with Elasticsearch

 Introduction to Elasticsearch: Core Concepts and Architecture
 Understanding Elasticsearch Indexing and Sharding
 Creating and Managing Elasticsearch Indices
 Querying Data with Elasticsearch: Basic and Advanced Queries
 Using Filters, Aggregations, and Full-Text Search in Elasticsearch
 Optimizing Elasticsearch for Performance and Scalability
 Implementing Full-Text Search and Custom Analyzers

3. Data Ingestion with Logstash
 Introduction to Logstash: Architecture and Data Pipelines
 Configuring Input, Filter, and Output Plugins in Logstash
 Parsing and Transforming Data with Logstash Filters
 Handling Complex Log Formats (JSON, CSV, XML, etc.)
 Sending Data from Logstash to Elasticsearch for Storage
 Integrating Logstash with Other Data Sources (Kafka, Files, Databases)
 Troubleshooting and Optimizing Logstash Pipelines

4. Visualizing Data with Kibana
 Introduction to Kibana: Visualizing and Analyzing Data
 Exploring Elasticsearch Data in Kibana
 Creating Interactive Dashboards for Real-Time Monitoring
 Building Custom Visualizations: Bar, Line, Pie, and Map Charts
 Filtering and Searching Data in Kibana Dashboards
 Configuring Alerts and Monitoring for Real-Time Data
 Building Timelion and Canvas for Advanced Visualizations
 Best Practices for Designing Effective Dashboards and Reports

5. ELK Stack for Log and Security Analytics
 Using ELK for Centralized Log Management and Monitoring
 Real-Time Security Analytics with ELK: Identifying Threats and Anomalies
 Building Security Dashboards for Incident Detection and Response
 Implementing Log Aggregation and Correlation with Elasticsearch
 Using Kibana for Threat Hunting and Visualization of Security Data
 Integrating ELK Stack with Other Security Tools (SIEMs, IDS/IPS)

 Case Studies: Using ELK Stack for Security Operations and Monitoring

6. Scaling and Managing ELK Stack
 Configuring ELK Stack for Scalability and High Availability
 Setting Up and Managing Multiple Elasticsearch Clusters
 Monitoring and Managing Elasticsearch Performance: Indexing and Query Optimization
 Managing ELK Stack in Cloud Environments (AWS, Azure, GCP)
 Automating ELK Stack Deployments with Docker and Kubernetes
 Implementing Data Retention and Archiving Policies in Elasticsearch
 Securing Elasticsearch and Kibana: Authentication, Encryption, and Access Control

7. Advanced ELK Stack Features and Use Cases
 Implementing Advanced Log Processing with Logstash
 Real-Time Data Streaming and Ingestion into Elasticsearch
 Using Machine Learning in Elasticsearch for Predictive Analytics
 Integrating ELK with Beats: Lightweight Shippers for Logs and Metrics
 Enhancing Kibana Dashboards with Custom Plugins and Extensions
 Using Elastic APM for Application Performance Monitoring
 Building a Full-Stack Logging Solution with ELK and the Elastic Stack

8. Troubleshooting and Optimization of ELK Stack
 Identifying and Resolving Common Issues in ELK Stack Setup
 Troubleshooting Elasticsearch Performance and Querying Problems
 Optimizing Logstash Pipelines for Faster Data Processing
 Monitoring ELK Stack with Elastic Stack Monitoring and X-Pack
 Handling Failures in Logstash and Elasticsearch Nodes
 Best Practices for Log Management and Data Integrity

9. Real-World Applications and Case Studies
 Implementing ELK Stack in Production Environments: Case Studies
 Log Analytics for Web Applications, Infrastructure, and IoT
 Building a Real-Time Monitoring and Alerting System with ELK
 Automating Security Log Analysis and Threat Detection
 Leveraging ELK for Business Intelligence and Reporting
 Using ELK Stack for Compliance and Auditing in Enterprises

10. Final Project and Certification Exam
 Final Project: Building a Complete Log Management System with ELK Stack
 Data Collection, Transformation, and Visualization Using ELK Stack
 Optimizing Performance and Building Interactive Dashboards
 Final Exam: Comprehensive Assessment of ELK Stack Skills
 Certification of Completion and Job Placement Assistance

Key Features
 Tools & Platforms: Elasticsearch, Logstash, Kibana, Beats, Elastic APM
 Real-World Projects: Hands-on experience with log ingestion, query building, and
visualization
 Certification & Placement Support: ELK Stack certification and placement assistance
 Expert Instructors: Learn from industry professionals with experience in ELK Stack
implementations
 Career Advancement: Gain in-demand skills for monitoring, log management, and real-time
data analytics

Why Choose ENCODE-IT for ELK Stack Certification?
ENCODE-IT’s Comprehensive ELK Stack Certification Course offers an in-depth learning experience
for those looking to master log management and real-time analytics with the ELK Stack. This course
covers everything from setting up and configuring the ELK Stack to advanced use cases, scaling, and
optimization. With real-world projects and expert instructors, you will be ready to implement ELK
Stack solutions in business-critical environments. Enroll today to gain the skills needed to boost your
career in log management, data analysis, and security monitoring with the ELK Stack!