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Course Outline
Elastic Stack
- Elastic Stack Overview
- Product Landscape
- Enterprise Search
- Elastic Concepts
- Elastic Terminologies
- Node & Node Roles
- Scalability & Resilience
- When, where, Pros & Cons
- Search Engine Mechanism
- Elastic Installation
- Pre-requisites & Installation
- Configuration Files & Important Settings
- Elastic Cluster Concepts
- Discovery & Cluster Formation
- Master Election, Split Brain Concept & cluster bootstrapping
- Cluster State & Shard Allocation
- High Availability & Backup
- Cross Cluster Replication
- Index Template & Mapping
- Security and encryption configuration
- Operational Configurations & Best Practices
- Heap Size
- Shard Size
- Shard Count
- Hot-Warm-Cold Architecture
- Linux server specific settings
- Rollover Index
- Cluster Settings
- Text Analytics
- Query DSL
- Normalizer, Tokenizer
Kibana
- What & Why
- Kibana Terminologies & Components
- Best Practices
- Kibana Installation
- Pre-requisites & Installation
- Configuration Files & Important Settings
Logstash
- What & Why
- Logstash Queues
- High Availability & Design for Failure
- Logstash Troubleshooting
- Common Filter Plugins & its use cases
- Best Practices
- Logstash Installation
- Pre-requisites & Installation
- Configuration Files & Important Settings
- Filebeat
- Concepts
- Configuration files & Settings
- Filebeat Installation & Directory Layout
- Processors
- Bonus:
Production best practices & way to troubleshoot to reduce MTTR
Requirements
Foundational knowledge of Linux commands and system administration.
Familiarity with networking principles, including IP addressing and port usage.
Proficiency with text editors and command-line interfaces.
Understanding of data formats such as JSON, XML, and CSV.
Awareness of data analytics and visualization concepts.
Knowledge of cluster architectures, node functions, and storage systems.
28 Hours
Testimonials (1)
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