Log Aggregation and Search with ELK Stack Training Course
Master log aggregation and intelligent search techniques with our ELK Stack course. Gain hands-on experience in ElasticSearch operations, Logstash configurations, Kibana visualizations, Beats data shipping tools, and ELK production deployment strategies for a robust skill set tailored to real-world applications.
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What you'll learn
- Understand the components of the ELK Stack: ElasticSearch, Logstash, Kibana
- Process logs using Logstash pipelines with various inputs, filters, and outputs
- Visualize log data by building graphs and dashboards in Kibana
- Utilize Beats for efficient log file shipment
- Implement ELK Stack solutions in a production environment considering security and scalability
- Apply learned skills through hands-on exercises to solve practical use cases
- Install and configure ElasticSearch for effective log storage
- Perform complex searches and data analysis using ElasticSearch
Why should you attend?
Dive into the world of log aggregation and search with our detailed course that covers the essential components of the Elastic Stack, commonly known as ELK. This comprehensive program begins by introducing you to the basics of ElasticSearch, including its installation and configuration. As you progress, you'll explore Logstash's role in processing logs through its powerful pipeline architecture, learning how to install, configure and utilize its various plugins for inputs, filters, and outputs. The course further delves into ElasticSearch Fundamentals where you will master data operations such as indexing, updating, deleting, searching, analyzing, and aggregating. Kibana's functionalities are not left behind; from installation and configuration to interfacing with Kibana for data visualization. You'll learn both fundamental and advanced techniques for creating and managing visual elements like graphs and dashboards. The Beats family is introduced to showcase lightweight data shippers that send data from hundreds or thousands of machines to either Logstash or ElasticSearch. The course wraps up with a focus on deploying ELK in production environments—monitoring exceptions, scalability in the cloud, security implementations, maintenance strategies—and examines real-world use cases across various domains including development troubleshooting, cloud operations, application performance monitoring (APM), security compliance audit trails, business intelligence (BI), and search engine optimization (SEO). Finally, hands-on exercises solidify your learning by giving you practical experience in ingesting logs and crafting searches and dashboards within Kibana.
Course Syllabus
Day 1 - ELK Foundations Setup
Short Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsRecap and Q&A
15 minsEnd of Day 1
Day 2 - Kibana Interface Basics
Short Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsRecap and Q&A
15 minsEnd of Day 2
Ratings and Reviews
Instructor
FAQ
Frequently Asked Questions About This Course
Why should you attend?
Dive into the world of log aggregation and search with our detailed course that covers the essential components of the Elastic Stack, commonly known as ELK. This comprehensive program begins by introducing you to the basics of ElasticSearch, including its installation and configuration. As you progress, you'll explore Logstash's role in processing logs through its powerful pipeline architecture, learning how to install, configure and utilize its various plugins for inputs, filters, and outputs. The course further delves into ElasticSearch Fundamentals where you will master data operations such as indexing, updating, deleting, searching, analyzing, and aggregating. Kibana's functionalities are not left behind; from installation and configuration to interfacing with Kibana for data visualization. You'll learn both fundamental and advanced techniques for creating and managing visual elements like graphs and dashboards. The Beats family is introduced to showcase lightweight data shippers that send data from hundreds or thousands of machines to either Logstash or ElasticSearch. The course wraps up with a focus on deploying ELK in production environments—monitoring exceptions, scalability in the cloud, security implementations, maintenance strategies—and examines real-world use cases across various domains including development troubleshooting, cloud operations, application performance monitoring (APM), security compliance audit trails, business intelligence (BI), and search engine optimization (SEO). Finally, hands-on exercises solidify your learning by giving you practical experience in ingesting logs and crafting searches and dashboards within Kibana.
What you'll learn
- Understand the components of the ELK Stack: ElasticSearch, Logstash, Kibana
- Process logs using Logstash pipelines with various inputs, filters, and outputs
- Visualize log data by building graphs and dashboards in Kibana
- Utilize Beats for efficient log file shipment
- Implement ELK Stack solutions in a production environment considering security and scalability
- Apply learned skills through hands-on exercises to solve practical use cases
- Install and configure ElasticSearch for effective log storage
- Perform complex searches and data analysis using ElasticSearch
Course Syllabus
Day 1 - ELK Foundations Setup
Short Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsRecap and Q&A
15 minsEnd of Day 1
Day 2 - Kibana Interface Basics
Short Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsRecap and Q&A
15 minsEnd of Day 2
Public Pricing
Corporate Pricing
Pax:
Training Provider Pricing
Pax:
Features
Subsidies
Ratings and Reviews
Instructor
FAQ
Frequently Asked Questions About This Course
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