Data Processing with Logstash (and Filebeat) | Bestseller Software Engineering Course coupon
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| Data Processing with Logstash (and Filebeat) | Bestseller Software Engineering Course coupon |
Description
This course assumes no prior knowledge of or experience with Logstash. We start from the very basics and gradually transition into more advanced topics. The course is designed so that you can follow along the whole time step by step, and you can find all of the configuration files within a GitHub repository. The course covers topics such as handling Apache web server logs (both access and error logs), data enrichment, sending data to Elasticsearch, visualizing data with Kibana, along with covering a number of popular use cases that you are likely to come across. Upon completing this course, you will know all of the most important aspects of Logstash, and will be able to build complex pipeline configurations and process many different kinds of events and data.
What is Logstash?
In case you don't know what Logstash is all about, it is an event processing engine developed by the company behind Elasticsearch, Kibana, and more. Logstash is often used as a key part of the ELK stack or Elastic Stack, so it offers a strong synergy with these technologies. You can use Logstash for processing many different kinds of events, and an event can be many things. You can process access or error logs from a web server, or you can send events to Logstash from an e-commerce application, such as when an order was received or a payment was processed. You can ingest data from files (flat files, JSON, XML, CSV, etc.), receive data over HTTP or TCP, retrieve data from databases, and more. Logstash then enables you to process and manipulate the events before sending them to a destination of your choice, such as Elasticsearch, OpenSearch, e-mail, or Slack
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