Elastic Stack (ELK) Fundamentals
Acquire fundamental knowledge of the Elastic Stack (ELK)—Elasticsearch, Logstash, and Kibana—in this introductory course.
Certificate :
After Completion
Start Date :
10-Jan-2025
Duration :
30 Days
Course fee :
$150
COURSE DESCRIPTION:
Acquire fundamental knowledge of the Elastic Stack (ELK)—Elasticsearch, Logstash, and Kibana—in this introductory course.
Discover techniques for data collection, processing, and visualization to enable real-time analytics and monitoring.
Develop practical skills for managing extensive log and event data, applicable in IT operations, cybersecurity, and business analytics.
CERTIFICATION:
Earn a Certified Elastic Stack Fundamentals Specialist credential to validate your expertise in managing and analyzing data with the ELK stack.
LEARNING OUTCOMES:
By the conclusion of the course, participants will possess the skills to:
Familiarize yourself with the structure and elements of the Elastic Stack, including Elasticsearch, Logstash, Kibana, and Beats.
Install and configure the Elastic Stack to facilitate data ingestion and analysis.Â
Utilize Elasticsearch for indexing and querying extensive datasets, and employ Logstash for data transformation and pipeline development.
Course Curriculum
- Overview of ELK Stack
- ElasticSearch, Logstash, Kibana, and Beats.
- Key use cases: log analysis, performance monitoring, and data visualization.
- Installing and Setting Up ELK Stack
- Installing ElasticSearch, Logstash, and Kibana.
- Setting up Beats for log collection.
- What is ElasticSearch?
- Basics of distributed search and analytics engine.
- Understanding indices, documents, and clusters.
- Indexing Data
- Storing and managing structured and unstructured data.
- CRUD operations using ElasticSearch APIs.
- Search Capabilities
- Query DSL: match, term, and range queries.
- Aggregations for advanced data analytics.
- Introduction to Logstash
- Logstash pipeline architecture: inputs, filters, and outputs.
- Setting up and configuring Logstash.
- Data Transformation
- Parsing logs with Grok filters.
- Enriching data using filters (mutate, date, geoip).
- Connecting to ElasticSearch
- Sending processed data to ElasticSearch for indexing.
- Introduction to Kibana
- Kibana dashboard and its components.
- Navigating Kibana’s interface.
- Data Visualization
- Creating visualizations: bar charts, line charts, and pie charts.
- Building dashboards to monitor system metrics and application logs.
- Discover and Analyze
- Exploring data with the Discover feature.
- Using filters and queries for data exploration.
- Introduction to Beats
- Filebeat, Metricbeat, Packetbeat, and other Beats modules.
- Configuring Beats
- Collecting logs, metrics, and network data with Beats.
- Integrating Beats with ElasticSearch and Logstash.
- Securing the Stack
- Role-based access control (RBAC) in ElasticSearch.
- Enabling TLS for secure communication.
- Implementing user authentication with ElasticSearch Security.
- Monitoring ELK Stack
- Using Kibana to monitor ElasticSearch performance.
- Identifying bottlenecks in Logstash pipelines.
- Performance Tuning
- Optimizing ElasticSearch queries and cluster configuration.
- Managing large data sets with index lifecycle policies.
- End-to-End ELK Stack Solution
- Design and implement an ELK Stack pipeline.
- Collect, process, and visualize logs and metrics from a sample application.
- Create actionable dashboards and reports.
Training Features
Hands-On Learning
Practical exercises for setting up and configuring the Elastic Stack.
Comprehensive Content
Covers all core components of the Elastic Stack (ElasticSearch, Logstash, Kibana, Beats).
Interactive Dashboards
Build dashboards for real-time log monitoring and analytics.
Scalable Solutions
Learn to design scalable and secure ELK Stack architectures.
Industry Applications
Focused on use cases like log analysis, system monitoring, and security analytics.
Certification
Earn a certificate of completion to showcase your ELK Stack expertise.