Logstash

Logstash

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Score 7.3 out of 100
Logstash

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Product Details

What is Logstash?

Logstash Technical Details

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Reviews and Ratings

 (22)

Reviews

(1-3 of 3)
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Score 10 out of 10
Vetted Review
Verified User
Review Source
We investigated (and use) Logstash as apart of our ELK (Elasticsearch, Logstash and Kibana) stack. We input data from websites that post daily updates. This data is read into Logstash from RSS feeds, transformed in Logstash, then Sent to Elasticsearch / Kibana for visualization and reporting. Our problem was we needed to scrape large amounts of unstructured data from multiple sites that provided users the ability to post information. This information was free form. To make matters more interesting, these sites did not have an open API to query the data directly, so writing a simple cURL bot would not suffice. Therefore, we turned to ELK, due to previous projects where we employed ELK successfully. So the primary Return On Investment (ROI) is the fact that we had a fast, tightly Cohesive (but loosely coupled) stack of software that we knew how to configure and integrate well with our Laboratory.
Jordan Moore | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Review Source
My primary use case for Logstash is ingesting log files into a local Elasticsearch&Kibana Docker container so that I can easily search though the logs better. My favorite feature is the grok parser as it is easy to decompose complex regular expressions into simplified patterns. Logstash has a plethora of available plugins, but the out of the box connections have addressed all my needs thus far.
Rahul Chaudhary | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Review Source
We were introduced to Logstash via the ELK stack. Our application generates many data points, and one of many patterns we had seen was to store it in elastic search. Logstash was the router which actually sent data to ES, and received data from our applications. The power of Logstash was quickly realized when we increased the number of source applications generating different kinds of data, but the ingestion point remained same. Since then Logstash has been one of my team's favorite tools and is one of the few things which you can set once and forget. We are happy users of Logstash and expect to use it more in the future.