UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 6 Issue 5
May-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1905051


Registration ID:
208512

Page Number

308-310

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Title

LOCAL DEBUGGING OF EFFICIENT MONTITORING MECHANISM USING AWS BEANSTALK: A CASE STUDY

Abstract

Maintaining employee efficiency is a very important factor which helps in growth of the organisation as well as the employee. Employees Management Software makes it easy for the employer. Individual database reports are maintained for every employee, for which the manager assigns task such as projects and trainings, and view their performance to keep track of employee work efficiency. Employee Management software provides solution for all kind of organization which helps to manage the organization asset: people. This system brings about an easy way of maintaining the details of employees working in any organization. Cloud applications need more memory space for deployment hence, to avoid that developers use, Amazon Elastic Beanstalk service which enables them to provide an infrastructure environment for the type of application built. Elastic Beanstalk provides an environment which helps developers to develop and deploy their applications which handles a lot of security and network issues.

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"LOCAL DEBUGGING OF EFFICIENT MONTITORING MECHANISM USING AWS BEANSTALK: A CASE STUDY", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.308-310, May-2019, Available :http://www.jetir.org/papers/JETIR1905051.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"LOCAL DEBUGGING OF EFFICIENT MONTITORING MECHANISM USING AWS BEANSTALK: A CASE STUDY", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp308-310, May-2019, Available at : http://www.jetir.org/papers/JETIR1905051.pdf

Publication Details

Published Paper ID: JETIR1905051
Registration ID: 208512
Published In: Volume 6 | Issue 5 | Year May-2019
DOI (Digital Object Identifier):
Page No: 308-310
Country: BANGALORE, Karnataka, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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