A Review of Elastic Search: Performance Metrics and challenges

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Subhani Shaik, Nallamothu Naga Malleswara Rao

Abstract

The most important aspect of a search engine is the search. Elastic search is a highly scalable search engine that stores data in a structure, optimized for language based searches. When it comes to using Elastic search, there are lots of metrics engendered. By using Elastic search to index millions of code repositories as well as indexing critical event data, you can satisfy the search needs of millions of users while instantaneously providing strategic operational visions that help you iteratively improve customer service. In this paper we are going to study about Elastic searchperformance metrics to watch, important Elastic search challenges, and how to deal with them. This should be helpful to anyone new to Elastic search, and also to experienced users who want a quick start into performance monitoring of Elastic search.

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How to Cite
, S. S. N. N. M. R. (2017). A Review of Elastic Search: Performance Metrics and challenges. International Journal on Recent and Innovation Trends in Computing and Communication, 5(11), 222 –. https://doi.org/10.17762/ijritcc.v5i11.1304
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