ELK Stack Training
Introduction to ELK Stack
Understand the components of the Elastic Stack (ELK Stack) including Elasticsearch, Logstash, and Kibana. Learn how these tools work together to provide powerful search, logging, and data visualization capabilities.
Setting Up Elasticsearch
Learn how to install and configure Elasticsearch, the search and analytics engine. Understand cluster setup, node configuration, and basic indexing and querying.
Configuring Logstash
Explore how to set up Logstash for data ingestion and transformation. Learn about input plugins, filters, and output plugins to process and forward data to Elasticsearch.
Creating Visualizations with Kibana
Discover how to use Kibana to create visualizations and dashboards from data stored in Elasticsearch. Learn about various chart types, data analysis features, and dashboard creation.
Integrating the ELK Stack
Study how to integrate Elasticsearch, Logstash, and Kibana to form a cohesive data analysis platform. Understand the data flow from ingestion to visualization and how to configure each component for optimal performance.
Search and Querying in Elasticsearch
Dive deeper into Elasticsearch querying capabilities. Learn about different types of queries, filters, and search features to effectively retrieve and analyze data.
Data Processing with Logstash
Learn advanced Logstash configurations and data processing techniques. Study custom filters, data enrichment, and how to handle complex data pipelines.
Advanced Kibana Features
Explore advanced features of Kibana, including machine learning, alerting, and custom visualizations. Learn how to use these features to gain deeper insights from your data.
Performance Tuning and Optimization
Discover strategies for optimizing the performance of the ELK Stack. Learn about indexing strategies, query performance, resource management, and cluster scaling.
Security and Access Control
Understand security features of the ELK Stack. Learn about user authentication, role-based access control, and securing data in transit and at rest.
Monitoring and Maintenance
Study best practices for monitoring and maintaining an ELK Stack deployment. Learn about monitoring tools, cluster health management, and backup and recovery procedures.
Case Studies and Practical Applications
Engage with case studies and practical exercises to apply ELK Stack concepts. Work on real-world scenarios to build and manage search, logging, and data visualization solutions.
ELK Stack syllabus
1. Overview of ELK
- Components of ELK
- Architecture of ELK
2. Introduction to Elasticsearch
- Installation and Configuration of Elasticsearch
- Cluster Setup in Elasticsearch
- Indexing Data
- Mapping
- Searching
- Populating Elasticsearch
3. Elasticsearch API
- Elasticsearch Document APIs
- Search APIs in Elasticsearch
- Aggregation in Elasticsearch
4. Elasticsearch Queries and Analysis
- Analysis in Elasticsearch
- Performance of Elasticsearch
- Different APIs Available in Elasticsearch
- Creating Filters in Elasticsearch
- Getting Data in Elasticsearch
- Putting Data in Elasticsearch
- API to Check Health of Elasticsearch
5. Elasticsearch Cluster Administration
- Allocate Shards of an Index to Specific Nodes
- Configure Shard Allocation Awareness
- Diagnose Shard Issues
- Repair Health of a Cluster
- Backup and Restore a Cluster
- Configure for a Hot/Warm Architecture
- Configure for Cross-Cluster Search
6. Introduction to Logstash
- Logstash Installation
- Integrating Logstash with Kibana
- Alternatives to Logstash
- Configuring Logstash to Collect Logs
- Parsing Logs
- Log Shipping
- Different Shipping Tools
- Filebeat
- Configuring Filebeat
- Integrating Filebeat with Logstash
7. Getting Started with Logstash
- How Logstash Works
- Setting Up and Running Logstash
- Upgrading Logstash
- Configuring Logstash
8. Managing Logstash
- Working with Logstash Modules
- Working with Filebeat Modules
- Data Resiliency
- Transforming Data
- Deploying and Scaling Logstash
- Performance Tuning
9. Monitoring Logstash
- Monitoring APIs
- Working with Plugins
- Tips and Best Practices
- Troubleshooting Common Problems
10. Introduction to Kibana
- Kibana Installation
- Creating Alerts in Kibana
- Docker Role in ELK
- Migrating ELK to Docker
11. Kibana Visualizations
- Visualizations Overview
- Visualization Options
- Derivatives
- Moving Averages
- Multi-Metrics
12. Advanced Kibana Visualizations
- Developing Powerful Dashboards
- Customizing and Sharing Dashboards
- Detecting Anomalies in Data
- Kibana Visual Builder
- Overview
- Time Series Visual Builder
- Building Complex Time Series Visualizations
13. Kibana Management
- Setup and Manage Spaces
- Advanced Settings
- Kibana Functions
Training
Basic Level Training
Duration : 1 Month
Advanced Level Training
Duration : 1 Month
Project Level Training
Duration : 1 Month
Total Training Period
Duration : 3 Months
Course Mode :
Available Online / Offline
Course Fees :
Please contact the office for details