Scheduling Web-Jobs with Azure App Service

Authors(2) :-K. Naresh, P. Charitha

The cloud is transforming application security and design. Applications are separated into more manageable, dispersed services as opposed to existing as monoliths. These offerings can interact with one another via APIs, eventing, or asynchronous messaging. Applications create new occurrences in a horizontal manner in response to demand. Web apps, REST APIs, and mobile back ends may all be hosted on Azure App Service, an HTTP-based platform. The language of your choosing is yours to advance in. Python, PHP, Node.js, Java, and.NET Core are a few examples. Applications run smoothly and scale both on Windows and Linux-based computers. Furthermore, you can benefit from its DevOps features, which include Azure DevOps, GitHub, Docker Hub, and other sources for package management, staging environments, custom domains, TLS/SSL certificates, and continuous deployment. The cost of the Azure computing resources you utilize when you Apply App Service. The App Service package you choose to use your Apps decide how much computational power you utilize. Objective: There are different application states. Both synchronous and asynchronous operations are carried out. Apps need to be able to bounce back quickly from errors. Attackers target applications all the time. Automated and predictable deployments are required. To understand the system, telemetry and monitoring are essential.

Authors and Affiliations

K. Naresh
Assistant Professor, Department of MCA, Annamacharya Institute of Technology & Sciences, Tirupati, Andhra Pradesh, India
P. Charitha
Post Graduate, Department of MCA, Annamacharya Institute of Technology & Sciences, Tirupati, Andhra Pradesh, India

Cloud computing, Application architecture, Microservices, Azure App Service, Serverless computing, DevOps, Continuous deployment, Resilient applications, Security, Monitoring and telemetry, Functions, Logic Apps, Web Jobs, Literature survey.

[1]     P. T. Jaeger, J. Lin, and J. M. Grimes, "Cloud computing and information policy: Computing in a policy cloud?," Journal of Information Technology Politics, vol. 5, no. 3, pp. 269-283, 2008.
[2]     C. Vidal and K.-K. R. Choo, "Situational Crime Prevention and the Mitigation of Cloud Computing Threats," in International Conference on Security and Privacy in Communication Systems, 2017: Springer, pp. 218- 233.
[3]     N. Khan and A. Al-Yasiri, "Cloud security threats and techniques to strengthen cloud computing adoption framework," in Cyber Security and Threats: Concepts, Methodologies, Tools, and Applications: IGI Global, 2018, pp. 268-285.
[4]     H. A. Kholidy, A. Erradi, S. Abdelwahed, and F. Baiardi, "A risk mitiga- tion approach for autonomous cloud intrusion response system," Comput- ing, vol. 98, no. 11, pp. 1111-1135, 2016.
[5]     C.-J. Chung, P. Khatkar, T. Xing, J. Lee, and D. Huang, "NICE: Network intrusion detection and countermeasure selection in virtual network sys- tems," IEEE transactions on dependable and secure computing, vol. 10, no. 4, pp. 198-211, 2013.

Publication Details

Published in : Volume 7 | Issue 2 | March-April 2024
Date of Publication : 2024-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 351-356
Manuscript Number : SHISRRJ247221
Publisher : Shauryam Research Institute

ISSN : 2581-6306

Cite This Article :

K. Naresh, P. Charitha, "Scheduling Web-Jobs with Azure App Service", Shodhshauryam, International Scientific Refereed Research Journal (SHISRRJ), ISSN : 2581-6306, Volume 7, Issue 2, pp.351-356, March-April.2024
URL : https://shisrrj.com/SHISRRJ247221

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