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Tool Integrations for Monitoring Solutions and Associated Performance Analysis

Author

Listed:
  • Cociorva Alexandru

    (Bucharest University of Economic Studies, Bucharest, Romania)

  • Onofrei Nicoleta

    (Bucharest University of Economic Studies, Bucharest, Romania)

  • Vîlcea Alexandru-Lucian

    (Bucharest University of Economic Studies, Bucharest, Romania)

Abstract

Today’s Application Performance Monitoring evolution is in a direct relationship with fast growing e-commerce demands and associated technology prerequisites. To fulfill the high-demanding range of market expectations, tools need to be more efficient and robust, considering newly developed algorithms that can perform optimal calculations in a correct and fast way. The technological upgrade that the e-business world is facing is very often translated into new possibilities of supervising the resources for planning accordingly and setting new thresholds in various e-commerce sectors. This means that Application Performance Monitoring must be more concise, more results oriented and more determined in managing big sets of data along with high transaction ranges. This optic is not only related to administrative purposes, but it also means a paradigm change in the world of resource allocation and digitization, in the context of a fast-changing information society. The newly proposed Application Performance Monitoring approach includes tools that can handle multiple integrations, Application Programming Interface calls with external parties and a wide range of transaction mechanisms that can be implemented in a fast and efficient way. Hence, this article proposes different models for monitoring mechanisms/tools that can integrate functions, procedures and even applications with the purpose of highlighting efficient resource allocation structures and their potential beneficial role in e-commerce optimization sector. Various integration schemas are proposed to be taken into consideration when developing an Application Performance Monitoring tool for solving complex monitoring requests, along with some web performance analysis because of associated mechanisms implementation. As a result, this article proposes different Application Performance Monitoring integration mechanisms for handling e-commerce and in general e-business solutions high demanding and complex requests.

Suggested Citation

  • Cociorva Alexandru & Onofrei Nicoleta & Vîlcea Alexandru-Lucian, 2023. "Tool Integrations for Monitoring Solutions and Associated Performance Analysis," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 17(1), pages 1929-1943, July.
    • Handle: RePEc:vrs:poicbe:v:17:y:2023:i:1:p:1929-1943:n:6
    DOI: 10.2478/picbe-2023-0170
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    References listed on IDEAS

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    1. Chang, Victor & Walters, Robert John & Wills, Gary, 2013. "The development that leads to the Cloud Computing Business Framework," International Journal of Information Management, Elsevier, vol. 33(3), pages 524-538.
    2. Nieuwenhuis, Lambert J.M. & Ehrenhard, Michel L. & Prause, Lars, 2018. "The shift to Cloud Computing: The impact of disruptive technology on the enterprise software business ecosystem," Technological Forecasting and Social Change, Elsevier, vol. 129(C), pages 308-313.
    3. Wright, Scott A. & Schultz, Ainslie E., 2018. "The rising tide of artificial intelligence and business automation: Developing an ethical framework," Business Horizons, Elsevier, vol. 61(6), pages 823-832.
    4. Miruna Sarbu, 2022. "Which Factors Determine the Adoption of the Internet of Things? Impacts and Benefits," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 242(1), pages 107-147, February.
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