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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 command-line operations and system administration practices. Competence in networking principles, including IP address allocation and port configuration. Proficiency in utilizing text editors and command-line interfaces. Knowledge of standard data formats, such as JSON, XML, and CSV. Awareness of principles governing data analytics and visualization. Familiarity with infrastructure components, including cluster architectures, node management, and storage systems tailored for government operations.
28 Hours
Testimonials (1)
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