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  Published Paper Details:

  Paper Title

SOFTWARE ARCHITECTURE - APPLICATIONS PRACTICING DEVOPS AND ARTIFICIAL INTELLIGENCE.

  Authors

  Sikender Mohsienuddin Mohammad,  Rahul Reddy Nadikattu,  Joshua Ratna Kishore Petla

  Keywords

DevOps, Artificial intelligence, DevOps Automation, Software architecture

  Abstract


AI plays an important role in optimizing DevOps performance, it can enhance performance by offering instant creation and operating cycles and providing a positive experience for customers. Machine learning systems can make it easier to acquire data from different DevOps system pieces. This involves speed, errors, and burn rate, which are more conventional methods of production. Also, a component of DevOps is data generated by seamless tool integrations. Metrics such as number and time of integration, overall success, and deficiencies per integration are only useful when correctly measured and correlated. This paper will explore the different applications that practice Artificial Intelligence and DevOps.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT1133717

  Paper ID - 200567

  Page Number(s) - 714-718

  Pubished in - Volume 5 | Issue 1 | January-2017

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Sikender Mohsienuddin Mohammad,  Rahul Reddy Nadikattu,  Joshua Ratna Kishore Petla,   "SOFTWARE ARCHITECTURE - APPLICATIONS PRACTICING DEVOPS AND ARTIFICIAL INTELLIGENCE.", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.5, Issue 1, pp.714-718, January-2017, Available at :http://www.ijcrt.org/papers/IJCRT1133717.pdf

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ISSN: 2320-2882
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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