Book Image

Kibana 8.x – A Quick Start Guide to Data Analysis

By : Krishna Shah
Book Image

Kibana 8.x – A Quick Start Guide to Data Analysis

By: Krishna Shah

Overview of this book

Unleash the full potential of Kibana—an indispensable tool for data analysts to seamlessly explore vast datasets, uncover key insights, identify trends and anomalies, and share results. This book guides you through its user-friendly interface, interactive visualizations, and robust features, including real-time data monitoring and advanced analytics, showing you how Kibana revolutionizes your approach to navigating and analyzing complex datasets. Starting with the foundational steps of installing, configuring, and running Kibana, this book progresses systematically to explain the search and data visualization capabilities for data stored in the Elasticsearch cluster. You’ll then delve into the practical details of creating data views and optimizing spaces to better organize the analysis environment. As you advance, you'll get to grips with using the discover interface and learn how to build different types of extensive visualizations using Lens. By the end of this book, you’ll have a complete understanding of how Kibana works, helping you leverage its capabilities to build an analytics and visualization solution from scratch for your data-driven use case.
Table of Contents (17 chapters)
Free Chapter
Part 1: Exploring Kibana
Part 2: Visualizations in Kibana
Part 3: Analytics on a Dashboard
Part 4: Querying on Kibana and Advanced Concepts

Exploring watchers

It has been a very essential need of the hour to stay on top of critical changes that can feel like chasing butterflies in a hurricane. Kibana presents you with a valiant ally: watchers. These vigilant guardians stand guard over your Elasticsearch indices, tirelessly monitoring for pre-defined conditions and triggering actions the moment they’re met.

Think of watchers as automated sentries patrolling your data fortress. They meticulously comb through indices, searching for specific events, metric thresholds, or even unusual deviations in data patterns. And when they encounter their quarry, they spring into action!

The way they function is impressive:

  • Triggering alerts: They notify you via email, SMS, or other channels about crucial developments, ensuring you stay informed even when away from Kibana
  • Running actions: They execute pre-defined scripts or workflows, such as automatically adjusting configurations, triggering downstream processes...