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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 & strategies to troubleshoot and reduce MTTR
Requirements
A fundamental grasp of Linux commands and system administration principles. Familiarity with networking fundamentals, including IP addressing and port usage. Experience using text editors and command-line interfaces. Knowledge of various data formats such as JSON, XML, and CSV. Awareness of data analytics and visualization methodologies. Understanding of concepts related to clusters, nodes, and storage systems.
28 Hours
Testimonials (1)
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