Elastic Stack Tutorial ELK Stack 12 - Elasticsearch DSL with the Python Programming Language.

In this video, We will talk about how to use Elasticsearch DSL with the Python Programming Language.
We make use of the official high-level client of elasticsearch to code up a simple example of how to search for documents in Elasticsearch using the elasticsearch-dsl client in Python.
Documentation - https://elasticsearch-dsl.readthedocs.io/en/latest/
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The Elastic Stack tries to make it as easy as possible to ingest data into Elasticsearch. Filebeat is a great tool for tailing files and comes with a set of modules which makes it possible to ingest a wide range of common log formats with minimal configuration. If the data you are looking to ingest is not covered by these modules, Logstash and Elasticsearch ingest nodes provide a flexible and powerful way to parse and process most types of text-based data.

Blog reference - https://www.elastic.co/blog/a-practical-introduction-to-logstash
Installation Instructions - https://www.elastic.co/guide/en/logstash/current/installing-logstash.html
Stashing first event - https://www.elastic.co/guide/en/logstash/current/first-event.html


About Me -

Website: https://rounakvyas.me
GitHub: https://github.com/itsron717
LinkedIn: https://linkedin.com/in/itsron143

Elasticsearch is a distributed, open source search and analytics engine, designed for horizontal scalability, reliability, and easy management. Logstash is a flexible, open source data collection, enrichment, and transportation pipeline.Filebeat is a lightweight application for reading log files and forwarding to Logstash.

#ElasticSearch #Logstash #Kibana #ELKStack #ElasticStack
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