Elastic Stack [ELK] Training
Introduction to Elastic 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 Elastic 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 Elastic Stack. Learn about indexing strategies, query performance, resource management, and cluster scaling.
Security and Access Control
Understand security features of the Elastic 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 Elastic 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 Elastic Stack concepts. Work on real-world scenarios to build and manage search, logging, and data visualization solutions.
Elastic Stack (ELK) Syllabus
1. Introduction to Elastic Stack
- Overview of Elastic Stack Components (Elasticsearch, Logstash, Kibana)
- Use Cases and Benefits of Elastic Stack
2. Elasticsearch
- Introduction to Elasticsearch
- Installation and Setup
- Basic Concepts: Index, Type, Document, Shard, Replica
- CRUD Operations
- Query DSL (Domain Specific Language)
- Aggregations and Analytics
- Index Management and Optimization
3. Logstash
- Introduction to Logstash
- Installation and Configuration
- Data Ingestion Techniques
- Filters and Plugins
4. Kibana
- Introduction to Kibana
- Installation and Setup
- Visualization and Dashboard Creation
- Discovering and Exploring Data
- Search and Filter Capabilities
- Timelion for Time Series Data
5. Beats
- Overview of Beats (Filebeat, Metricbeat, etc.)
- Installation and Configuration
- Data Shipping and Monitoring
- Use Cases and Integration with Other Elastic Stack Components
6. Advanced Topics
- Scaling Elasticsearch Clusters
- Security and Authentication
- Monitoring and Alerting
7. Advanced Elasticsearch
- Data Modeling and Schema Design
- Advanced Query Optimizations
- Index Lifecycle Management (ILM)
- Cross-Cluster Search and Federated Search
- Resiliency and Fault Tolerance Strategies
8. Advanced Logstash
- Advanced Filtering Techniques (Grok Patterns, Conditionals)
- Performance Tuning and Pipeline Optimizations
- Handling Complex Data Transformations
- Using Plugins for Custom Integrations
- Scaling Logstash for High-Volume Data Pipelines
9. Advanced Kibana
- Custom Plugin Development
- Canvas for Creating Custom Visualizations
- Vega and Vega-Lite Visualizations
- Timelion Scripting for Advanced Time Series Analysis
- Dashboard Embedding and Reporting
10. Beats and Advanced Data Shipping
- Creating Custom Beats Modules
- Integrating with Cloud Services (AWS, GCP, Azure)
- Monitoring Infrastructure and Application Metrics
- Using Beats for Security Event Collection (Filebeat, Auditbeat)
11. Security and Compliance
- Securing Elasticsearch Clusters (SSL/TLS, Authentication)
- Role-Based Access Control (RBAC) and Permissions
- Audit Logging and Compliance Reporting
- Implementing GDPR and CCPA Compliance
12. Machine Learning with Elastic Stack
- Introduction to Machine Learning in Elastic Stack
- Anomaly Detection and Forecasting
- Integrating Machine Learning Jobs with Kibana
- Real-Time Analytics and Alerting with Machine Learning
13. Advanced Cluster Management
- Multi-Cluster Management with Elastic Cloud Enterprise (ECE)
- Cross-Cluster Replication (CCR) for Disaster Recovery
- Performance Monitoring and Optimization
- Advanced Shard Allocation and Rebalancing Strategies
14. DevOps and CI/CD Integration
- Using Elastic Stack in DevOps Pipelines
- Continuous Delivery of Configuration Changes
- Automated Testing and Validation with Elastic Stack
- Integrating with CI/CD Tools like Jenkins, GitLab CI
15. Real-Time Data Ingestion and Processing
- Building Real-Time Data Pipelines with Elasticsearch
- Handling Streaming Data with Beats and Logstash
- Processing IoT Data and Sensor Data Streams
- Benchmarking and Optimizing Real-Time Ingestion
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