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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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Getting Notified

Analyzing content has a purpose, mostly strategic. If this analysis was done by a company that deals in people relationship, they might be interested to know any new meetup so that they can connect to more people. If any meetup in city has good amount of RSVPs, there is a fair chance that 3-4 persons of the company's 'interest can be found. It usually happens during meetups. People of similar interests get to meet. What if, we can get a notification of some kind whenever a meetup is created. We can use X-Pack's alerting capabilities-watcher to mention specifically. The notification can be a log, e-mail, or some other kind supported by watcher. To learn more about watcher, refer to chapter 10X-Pack: Alerting, Graph, and Reporting.

Let's create a watch for this use case. We would need a schedule, input, a condition, and an action, which will be used to notify us:

  • Schedule: Assuming that one iteration takes place in one hour and data is updated, we...

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