35 Hrs
3242+ Enrollments
ELK Stack Training
The ELK Stack training course is ideal for anyone looking to gain expertise in log analysis and management. This course is suitable for developers, DevOps professionals, system administrators, and anyone else looking to improve their knowledge of log analysis.
ELK Stack Training
Overview of Course
Our ELK Stack training course is designed to provide you with the skills and knowledge necessary to become an expert in log analysis and management using Elasticsearch, Logstash, and Kibana. You will learn how to effectively use these powerful tools to collect, analyze, and visualize log data in real-time.
Course Highlights
Learn how to install and configure the ELK Stack
Learn how to use Logstash for log processing and normalization
Learn how to use Kibana for log visualization and analysis
Key Differentiators
Personalized Learning with Custom Curriculum
Training curriculum to meet the unique needs of each individual
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Choose between virtual/offline with Weekend options
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Enterprise Grade Data Protection
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Real-world Projects
We work with experts to curate real business scenarios as training projects
Skills You’ll Learn
Log analysis and management
Elasticsearch for log storage and retrieval
Logstash for log processing and normalization
Kibana for log visualization and analysis
Training Options
1-on-1 Training
Access to live online classes- Flexible schedule including weekends
- Hands-on exercises with virtual labs
- Session recordings and learning courseware included
- 24X7 learner support and assistance
- Book a free demo before you commit!
Corporate Training
- Everything in 1-on-1 Training plus
- Custom Curriculum
- Extended access to virtual labs
- Detailed reporting of every candidate
- Projects and assessments
- Consulting Support
- Training aligned to business outcomes
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- Reduce employee turnovers and associated costs, such as recruitment and onboarding expenses.
- Obtain long-term organizational growth and success.
Course Reviews
Curriculum
- What is Elasticsearch?
- Terminology in Elasticsearch (Elasticsearch cluster, node, shard and replicas) Difference between Search Engine and
- Database
- Installation of Elasticsearch standalone node and Kibana
- The architecture of Elasticsearch
- Creating Index
- On the Fly Index Creation
- List down the indexes in Elasticsearch
- Anatomy of a document
- Create a document in Elasticsearch
- Searching documents from Elasticsearch
- Deleting documents in Elasticsearch
- Update documents in Elasticsearch
- Handling concurrency in Elasticsearch
- Introduction of programming concepts
- Connecting the Elasticsearch through using programming interface •
- Bulk Request
- Bulk Indexing
- Bulk Retrieval
- Strategery followed while using Bulk Indexing
- In-depth analysis of mappings
- What happens during Indexing?
- Discussion of transaction logs and Lucene indexing
- Understanding configuration options, Mappings
- Dynamic Mapping in Elasticsearch
- Understanding search Query DSL
- Aggregations
- Search and Relevance in Documents
- Scoring Mechanism
- Special Query
- Master Node
- Data Node
- Ingest Node
- Tribe Node
- Logstash
- Beat
- Kibana
- Index Setting
- Shard Setting
- Shard Allocation
- Routing
- Replication
- Planning and Configuration Stratergy
- Best setting to have less downtime
- Security in ES cluster
- Improving Indexing and Search Experience
- Cluster Management
- Node Management
Meet the instructor and learn about the course content and teaching style.- Make informed decisions about whether to enroll in the course or not.
- Get a perspective with a glimpse of what the learning process entails.
Description
Target Audience:
- Developers
- DevOps professionals
- System administrators
- IT professionals
Prerequisite:
- Basic knowledge of Linux
- Familiarity with command-line interface
- Basic understanding of log files and their formats
Benefits of the course:
- Learn from industry experts
- Hands-on experience with ELK Stack tools
- Access to ELK Stack course materials
- Course completion certificate
Exam details to pass the course:
- There is no exam required to pass the course.
- Participants will receive a course completion certificate upon finishing the course.
Certification path:
- There are no specific certifications needed to learn this course.
- However, participants can opt for the Elasticsearch certification exams to showcase their expertise in Elasticsearch.
Career options:
- Log Analyst
- Log Management Engineer
- Elasticsearch Engineer
- DevOps Engineer
Why should you take this course from Skillzcafe:
Learn from industry experts with years of experience- Hands-on experience with ELK Stack tools
- Access to ELK Stack course materials
- Course completion certificate
- 24/7 support and assistance
FAQs
Yes, this course is suitable for beginners with some basic knowledge of Linux and command-line interface.
Yes, participants will receive a course completion certificate upon finishing the course.
Yes, participants should have basic knowledge of Linux, command-line interface, and log files and their formats.
The duration of the course is approximately 35 hours.
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