Kibana: Essentials Training Course

Setting up Prerequisites

  • Elasticsearch: Introduction 
  • Elasticsearch: Installation and Configuration
  • elasticdump
  • Brief Introduction to Kibana
  • Nested Objects – Limitation to Kibana

Setting up Kibana

  • Kibana: Install and Configure
  • Configuring Elasticsearch and connecting Kibana
    • Dynamic Mapping
    • Limitations
  • Tribe Nodes

Using Kibana

  • Indices and Filters
  • Discover Interface
    • Time Filter
    • Toolbar and Searchbar
    • Field Lists
    • Document Data and Context – Add/View/Edit/Delete
  • Visualization Interface
    • Aggregations
      • Bucket Aggregations – Date Histogram, Date Range, Range, Histogram, Terms and Filters
      • Metric Aggregations – Count, Sum, Average, Min, Max, Percentile, Percentile Ranks and Unique
    • Create Visualization
    • Chart, Line, Area
    • Data Table
    • Metrics
    • Other Visualization Types
  • Dashboard Interface: Building, Merging, Loading and Sharing
  • Graph: Configure, Troubleshoot and Limitations

Kibana: Dev Console

  • Overview
  • Shortcuts: Brief
  • Settings and Configuring

Kibana in Production

  • SSL encryption
  • Load Balancing using Elasticsearch Nodes

Management

  • Managing Fields and Formatters
  • Saved Searches, Visualizationad and Dashboards
  • Apache/nginx proxy for security

Plugins

  • Install/Update/Disable/Remove Plugins
  • Plugins Manager

ELK: Elasticsearch, Logstash and Kibana for Administrators Training Course

Introduction

  • Elastic Stack Overview (ELK)

Elasticsearch

Overview:

  • What and Why
  • Terminology: Documents, Index, Shards, Node, Cluster, Scale Up/Out

Operate: Configuring & Deploying

  • Configuring Elasticsearch
  • Deploying Elasticsearch
  • Lab

Node: Discovery, Types, and Cluster State

  • Distributed Model and Discovery
  • Master, Data, Client, and Tribe Nodes
  • Master Election and Minimum Master Nodes
  • Cluster State
  • Shard Allocation

Backup: Snapshot and Restore

  • High Availability vs. Backup
  • Repository, Snapshot, and Restore
  • Internals

Production Monitoring

  • Alerting Best Practices
  • JVM
  • Query Performance
  • Thread Pools
  • Diagnosing Problems

Production Operational Best Practices

  • Memory
  • Networking
  • Disk
  • Security
  • Cluster Restart (Rolling and Full)

Logstash

  • What and Why
  • Configuration
  • Inputs, Filters, and Outputs
  • Installation and configuration
  • Backup and restore
  • Cluster and availability nuances
  • Best practices

Kibana

  • What and Why
  • Configuration Settings
  • Time Picker, Search, and Filters
  • Kibana Discover, Visualization, and Dashboard Interfaces
  • Installation and configuration
  • Backup and restore
  • Cluster and availability nuances
  • Best practices

Filebeat

  • Logs and problems
  • Filebeat architecture
  • Installation and configuration
  • Backup and restore
  • Cluster and availability nuances
  • Best practices

Summary and Conclusion