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Mastering Elastic Stack

Mastering Elastic Stack

By : Kumar Gupta, Gupta
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Mastering Elastic Stack

Mastering Elastic Stack

1 (1)
By: Kumar Gupta, Gupta

Overview of this book

Even structured data is useless if it can’t help you to take strategic decisions and improve existing system. If you love to play with data, or your job requires you to process custom log formats, design a scalable analysis system, and manage logs to do real-time data analysis, this book is your one-stop solution. By combining the massively popular Elasticsearch, Logstash, Beats, and Kibana, elastic.co has advanced the end-to-end stack that delivers actionable insights in real time from almost any type of structured or unstructured data source. If your job requires you to process custom log formats, design a scalable analysis system, explore a variety of data, and manage logs, this book is your one-stop solution. You will learn how to create real-time dashboards and how to manage the life cycle of logs in detail through real-life scenarios. This book brushes up your basic knowledge on implementing the Elastic Stack and then dives deeper into complex and advanced implementations of the Elastic Stack. We’ll help you to solve data analytics challenges using the Elastic Stack and provide practical steps on centralized logging and real-time analytics with the Elastic Stack in production. You will get to grip with advanced techniques for log analysis and visualization. Newly announced features such as Beats and X-Pack are also covered in detail with examples. Toward the end, you will see how to use the Elastic stack for real-world case studies and we’ll show you some best practices and troubleshooting techniques for the Elastic Stack.
Table of Contents (13 chapters)
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Alerting and notification

Every organization needs a system that is capable of alerting whenever required. This component of X-Pack provides us with flexibility to create alerts and notifications based on some conditions which get triggered due to change in data. Due to the requirement of having a real-time alert mechanism through which you can trigger some actions based on the conditions specified arises the need for this component named Watcher. It grew out of the necessity of creating actions on the go as and when required without requiring changing the configuration across the Stack. If seen closely, we can create such alerts based on conditions by specifying them directly in the Logstash configuration file using appropriate filters and output plugins. But doing so every time to create a new type of alert would require proper testing before making changes in production environment. Instead of making any changes in the existing setup, you can create your own rules on the go to...

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