Relevant bibliographies by topics / Azure Functions

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Azure Functions'

Author: Grafiati
Published: 4 June 2021
Last updated: 27 July 2025

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Journal articles on the topic "Azure Functions"

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Bhargav, Bachina. "Implementing CI/CD Pipelines for Python Azure Functions with Azure DevOps." Journal of Scientific and Engineering Research 8, no. 2 (2021): 229–41. https://doi.org/10.5281/zenodo.10902867.

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<strong>Abstract </strong>Azure Functions provide a seamless solution for deploying small code segments in the cloud, supporting various programming languages. This paper explores deployment strategies, focusing on Azure DevOps for function app deployment. Additionally, it demonstrates creating a Python REST API using Azure Functions. Key sections include an introduction to Azure Functions and an example project showcasing Azure DevOps deployment. Through this exploration, developers gain insights into leveraging serverless computing for efficient application deployment and development.
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Bhargav, Bachina. "Developing Python REST APIs Using Azure Functions: A Serverless Approach." Journal of Scientific and Engineering Research 7, no. 12 (2020): 199–209. https://doi.org/10.5281/zenodo.10902886.

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<strong>Abstract </strong>This paper delves into the versatility of Azure Functions, illustrating how developers can effortlessly deploy lightweight code snippets in the cloud, alleviating concerns about infrastructure management. With support for multiple programming languages and a consumption-based pricing model, Azure Functions offer adaptability and scalability to meet diverse application needs. Specifically focusing on creating a Python REST API using Azure Functions, the paper elucidates fundamental concepts, prerequisites, implementation steps, deployment procedures, monitoring strateg
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Sachin, Samrat Medavarapu. "Leveraging Serverless Computing: An In-Depth Review of Azure Functions and ASP.NET Core Integration." European Journal of Advances in Engineering and Technology 9, no. 3 (2024): 179–81. https://doi.org/10.5281/zenodo.13627218.

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Serverless computing has revolutionized the way developers build and deploy applications by abstracting the underlying infrastructure management. Azure Functions, a leading serverless computing service by Microsoft, provides a scalable and cost-effective solution for running event-driven code. When integrated with ASP.NET Core, Azure Functions enables the creation of robust, scalable, and high-performance web applications. This review paper explores the architecture, benefits, and use cases of Azure Functions and ASP.NET Core integration. We discuss various methods and best practices for lever
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Khanal, Dibya Darshan, and Sushil Maharjan. "Comparative Security and Compliance Analysis of Serverless Computing Platforms: AWS Lambda, Azure Functions, and Google Cloud Functions." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 08 (2024): 1–13. http://dx.doi.org/10.55041/ijsrem36979.

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Serverless computing has revolutionized cloud services by abstracting infrastructure management, enabling developers to focus on application logic. This research examines the security and compliance features of three major serverless platforms: AWS Lambda, Azure Functions, and Google Cloud Functions. By evaluating authentication mechanisms, data encryption practices, vulnerability management, and compliance certifications, we aim to provide a comparative analysis that informs businesses and developers on the most secure and compliant platform for their needs. Keywords: Serverless Computing, Se
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Venkata, Tadi. "Evaluating Advanced Azure Monitoring and Alerting Strategies in Diverse Large-Scale Enterprise Environments." Journal of Scientific and Engineering Research 9, no. 9 (2022): 94–107. https://doi.org/10.5281/zenodo.13338082.

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This study evaluates the performance and scalability of advanced monitoring and alerting strategies for data-intensive applications deployed on Microsoft Azure within diverse, large-scale enterprise environments. Leveraging key Azure services such as Azure Functions, Azure Data Factory (ADF) Pipelines, Kusto, Azure Service Bus, and Event Grid, the research aims to bridge the gap between theoretical best practices and real-world applications. By conducting a comprehensive analysis across various industry sectors, the study identifies the practical challenges, solutions, and adaptations necessar
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Стевановић, Немања. "ПРИМЕНА SERVERLESS АРХИТЕКТУРЕ НА АПЛИКАЦИЈУ ЗА УПРАВЉАЊЕ РАДОВИМА У ЕЕ СИСТЕМУ". Zbornik radova Fakulteta tehničkih nauka u Novom Sadu 35, № 06 (2020): 1022–25. http://dx.doi.org/10.24867/08be02stevanovic.

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У овом раду представљена је примена Serverless архитектуре на апликацију која симулира управљање радовима у електроенергетском систему. Приказан је начин на који се може смањити оптерећење једног од сервиса апликације употребом Azure Functions које представљају Serverless архитектуру креиране од стране Microsoft Azure-a.
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Dadi, Chaitanya Bharat. "Serverless Architectures and Function-as-a-Service (FaaS): Redefining Application Design and Scalability with Azure Functions." European Journal of Computer Science and Information Technology 13, no. 34 (2025): 97–106. https://doi.org/10.37745/ejcsit.2013/vol13n3497106.

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This article examines how serverless computing and Function-as-a-Service (FaaS) via Azure Functions are revolutionizing cloud application development by enabling developers to focus on business logic while cloud providers manage infrastructure operations. The paradigm shift from monolithic applications to discrete, event-triggered functions has produced significant advancements in deployment efficiency, cost reduction, and operational agility across diverse industries. Through a comprehensive assessment of architectural implications, economic benefits, real-world implementations, and technical
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Reheta, D. M. "Windows Azure cloud platform." CTE Workshop Proceedings 1 (March 21, 2013): 111. http://dx.doi.org/10.55056/cte.153.

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The functions and design of adaptive information-computing networks concentrates on the concept of electronic data processing based on cloud computing information technology using the Windows Azure platform. This platform is based on running a virtual machine for each instance of an interactive application. According to this concept, networked virtual objects are formed thanks to a special user interface supported by the system programs by means of network configuration tools. These are network virtual sites as a situational component of a logical network infrastructure. Windows Azure sells tw
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Jitender Jain. "Optimizing Payment Gateways in Fintech Using AI-Augmented OCR and Intelligent Workflow." Journal of Electrical Systems 17, no. 1 (2024): 115–27. https://doi.org/10.52783/jes.8179.

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This research delves into the optimization of payment gateway systems in the fintech industry using AI-augmented OCR and intelligent workflow automation, especially with a focus on Azure Functions. The paper explores how these tools can make payment processing more efficient, scalable, and cost-effective by combining serverless computing with AI-driven technologies. Cases from financial institutions adopting Azure services, which indicate KPIs for transaction speed, operational efficiency, and total cost of ownership. Surveys from IT experts and system architects give real-world insight into h
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Parag, Bhardwaj. "Designing Multi-Tier Applications Using Azure App Services." International Journal on Science and Technology 11, no. 1 (2020): 1–13. https://doi.org/10.5281/zenodo.14613886.

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Building and deploying cloud based applications with Azure App Services provides a robust and scalable option for designing multi-tier applications. Azure App Services is a fully managed platform that makes it easier for developers to create, deploy, and host web apps, mobile backbends, and RESTful APIs&mdash;with minimal infrastructure management. With Azure&rsquo;s integrated tools and services, this abstract will explore how to benefit and methodology for designing multi-tier applications. Once again, in a typical multi-tier architecture, the application is separated into different layers l
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Dissertations / Theses on the topic "Azure Functions"

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Barzi, Eddie. "Servizi Serverless di Microsoft Azure." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/24298/.

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Questo documento vuole presentare alcuni dei servizi cloud offerti da Microsoft Azure, partendo da una panoramica sul cloud computing e sui vantaggi e svantaggi dell'elaborazione serverless. In particolar modo verranno descritti nel dettaglio tre servizi offerti da Microsoft: Azure App Service, Azure Functions e Azure Durable Functions. Ci sarà poi un capitolo dedicato a una comparativa generale sugli equivalenti servizi serverless offerti da Amazon AWS, ovvero AWS Lambda per le Azure Functions e AWS Step Functions per Azure Durable Functions. Infine verrà mostrata la realizzazione di
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Simonetti, Giacomo. "Message-oriented Middleware per qualità del servizio in funzioni Serveless." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2022.

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Il Serverless Computing, detto anche Function-as-a-Service (FaaS), rappresenta un’evoluzione dei servizi cloud in quanto consente agli sviluppatori di non preoccuparsi del provisioning, dei server o delle configurazioni dell’infrastruttura, ma solo di definire funzioni che saranno eseguite in risposta a determinati eventi detti Trigger. Il FaaS si basa principalmente sul modello “pay-for-execution” : i costi vengono addebitati solo per l’effettivo tempo di esecuzione delle funzioni. Questo garantisce costi effettivi minori e commisurati all’effettivo utilizzo delle funzioni, solitamente diret
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Giannini, Andrea. "Social Network Analysis: Architettura Streaming Big Data di Raccolta e Analisi Dati da Twitter." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2022. http://amslaurea.unibo.it/25378/.

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Negli ultimi anni i social media, come ad esempio Facebook, Twitter, WhatsApp, YouTube, si sono diffusi a macchia d'olio. Ormai quasi tutti accedono giornalmente su almeno uno di questi per informarsi, esprimere opinioni e interagire con altri utenti. Per questa ragione sono diventati fondamentali per i reparti marketing delle aziende essendo non solo un ottimo canale di comunicazione, ma anche una fonte di informazioni sui clienti e potenziali tali. La tesi si focalizza proprio su quest'ultimo aspetto. Il progetto Social Network Analysis (SNA) vuole essere infatti uno strumento attravers
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Hvizdák, Lukáš. "Systém sběru dat v průmyslu." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2020. http://www.nusl.cz/ntk/nusl-413269.

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The master thesis focuses on the design and implementation of data collection from production using a PLC into an SQL database located in the cloud and subsequent visualization. The work describes the applicable communication protocols MQTT and OPC UA with the fact that the protocol MQTT was selected. It deals with securing data transfer from the line to the cloud using the TLS protocol. The individual cloud services and their possibilities for data collection are described here. The work deals with the possibilities of data visualization using existing open source solutions and the difference
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Books on the topic "Azure Functions"

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Malik, Sahil. Azure Functions. Apress, 2019. http://dx.doi.org/10.1007/978-1-4842-4104-2.

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Kurniawan, Agus, and Wely Lau. Practical Azure Functions. Apress, 2019. http://dx.doi.org/10.1007/978-1-4842-5067-9.

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Sawhney, Rahul. Beginning Azure Functions. Apress, 2019. http://dx.doi.org/10.1007/978-1-4842-4444-9.

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Sawhney, Rahul, and Kalyan Chanumolu. Beginning Azure Functions. Apress, 2023. http://dx.doi.org/10.1007/978-1-4842-9203-7.

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Malik, Sahil. Advanced Scenarios in Azure Functions. Apress, 2019. http://dx.doi.org/10.1007/978-1-4842-4408-1.

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Satapathi, Ashirwad, and Abhishek Mishra. Hands-on Azure Functions with C#. Apress, 2021. http://dx.doi.org/10.1007/978-1-4842-7122-3.

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Malik, Sahil. Deploy, Secure and Manage Azure Functions. Apress, 2019. http://dx.doi.org/10.1007/978-1-4842-4409-8.

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Learning Azure Functions. Packt Publishing, Limited, 2017.

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Bonanni, Massimo, Daniel Jebaraj, Courtney Wright, Tres Watkins, and James McCaffrey. Azure Durable Functions Succinctly. Syncfusion, Inc., 2023.

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Microsoft Azure for Java Developers: Deploying Java Applications Through Azure WebApp, Azure Kubernetes Service, Azure Functions, and Azure Spring Cloud. Apress L. P., 2022.

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Book chapters on the topic "Azure Functions"

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Kettner, Benjamin, and Frank Geisler. "Azure Functions." In Pro Serverless Data Handling with Microsoft Azure. Apress, 2022. http://dx.doi.org/10.1007/978-1-4842-8067-6_4.

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Sawhney, Rahul. "Creating Functions in Azure Functions." In Beginning Azure Functions. Apress, 2019. http://dx.doi.org/10.1007/978-1-4842-4444-9_2.

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Kurniawan, Agus, and Wely Lau. "Azure Functions Programming." In Practical Azure Functions. Apress, 2019. http://dx.doi.org/10.1007/978-1-4842-5067-9_2.

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Sawhney, Rahul. "Azure Durable Functions." In Beginning Azure Functions. Apress, 2019. http://dx.doi.org/10.1007/978-1-4842-4444-9_5.

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Sawhney, Rahul, and Kalyan Chanumolu. "Creating Azure Functions." In Beginning Azure Functions. Apress, 2023. http://dx.doi.org/10.1007/978-1-4842-9203-7_2.

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Sawhney, Rahul, and Kalyan Chanumolu. "Azure Durable Functions." In Beginning Azure Functions. Apress, 2023. http://dx.doi.org/10.1007/978-1-4842-9203-7_5.

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Gorman, Brian L. "Implement Azure Functions." In Certification Study Companion Series. Apress, 2023. http://dx.doi.org/10.1007/978-1-4842-9300-3_6.

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Kurniawan, Agus, and Wely Lau. "Introduction to Azure Functions." In Practical Azure Functions. Apress, 2019. http://dx.doi.org/10.1007/978-1-4842-5067-9_1.

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Sawhney, Rahul. "Introduction to Azure Functions." In Beginning Azure Functions. Apress, 2019. http://dx.doi.org/10.1007/978-1-4842-4444-9_1.

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Sawhney, Rahul. "Deploying Functions to Azure." In Beginning Azure Functions. Apress, 2019. http://dx.doi.org/10.1007/978-1-4842-4444-9_6.

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Conference papers on the topic "Azure Functions"

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Beňo, Lukáš, Rudolf Pribiš, Peter Drahoš, and Samuel Balaščk. "Web application for dynamic video transcoding using Azure Functions." In 2025 Cybernetics & Informatics (K&I). IEEE, 2025. https://doi.org/10.1109/ki64036.2025.10916474.

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Ristovski, Daniel, and Marjan Gusev. "Evaluating Azure Container, Backend, and Function as a Service." In 2024 32nd Telecommunications Forum (TELFOR). IEEE, 2024. https://doi.org/10.1109/telfor63250.2024.10819127.

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Framil de Amorín, Manuel, Mario Carpente, David Fraga, et al. "BDWatchdogFaaS: A Tool for Monitoring and Analysis of Functions-as-a-Service in Cloud Environment." In Congreso XoveTIC: impulsando el talento científico (6º. 2023. A Coruña). Servizo de Publicacions. Universidade da Coruña, 2023. http://dx.doi.org/10.17979/spudc.000024.52.

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BDWatchdog is a framework to assist in the in-depth and real-time analysis of the execution of Big Data frameworks and applications. BDWatchdog was originally developed to monitor Hadoop ecosystems deployed on serverless containers, in order to detect bottlenecks and spot certain patterns that frameworks or applications may have. In thisworkwe shift the focus to monitoring serverless functions in the public cloud, by proposing an extension of BDWatchdog which captures, transforms and analyzes logs from both AWS Cloudwatch and Azure Application Insights, which store the logs from AWS Lambda and
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Ali Awla, Mohammed, Sadoon Azizi, and Ayshe Rashidi. "Adaptive Resource Scaling Algorithm for Serverless Computing Applications." In The 3rd International Conference on Engineering and Innovative Technology. Salahaddin University-Erbil, 2025. https://doi.org/10.31972/iceit2024.050.

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Serverless computing has transformed cloud-based and event-driven applications by introducing the Function-as-a-Service (FaaS) model. This model offers key benefits, including greater abstraction from underlying infrastructure, simplified management, flexible pay-as-you-go pricing, and automatic scaling and resource optimization. However, managing resources effectively in serverless environments remains challenging due to the inherent variability and unpredictability of workload demands. This paper introduces an Adaptive Resource Scaling Algorithm (ARSA) tailored for serverless applications. A
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Fattah, Hossam. "A Virtualized Network Function for Advanced Network Flow Logging in Microsoft Azure Distributed System." In 2018 9th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON). IEEE, 2018. http://dx.doi.org/10.1109/uemcon.2018.8796641.

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Carvalho, Leonardo Rebouças de, Bruno Kamienski, and Aleteia Araujo. "How FaaS with DBaaS performs in different regions: an evaluation by the Orama Framework." In Simpósio em Sistemas Computacionais de Alto Desempenho. Sociedade Brasileira de Computação, 2023. http://dx.doi.org/10.5753/wscad.2023.235852.

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Studies indicate that cloud services based on the serverless paradigm, such as Function-as-a-Service (FaaS) should become the main mechanisms of the next generation of cloud computing. Given this perspective, public cloud providers have made efforts to expand the coverage of their services in order to meet this need. However, the effort needed to maintain equivalence between different regions highlights the importance of studying the behavior of FaaS environments in different regions of providers. This work presents a study aided by the Orama framework in order to evaluate the performance of t
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Bu, Fanping, Mikalai Filipau, and Nikolay Baklanov. "Advanced Edge Deployment: Abstracting Cyber-Physical Models via FMU Mastery." In American Modelica Conference 2024. Linköping University Electronic Press, 2025. https://doi.org/10.3384/ecp207170.

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Deploying cyber-physical models at the edge or in the cloud as software components is the key step of modelbased- design. Depending on run-time environment, an extensive customization often needs to be made. To streamline and facilitate the deployment of models and simulators in production, a unified framework is developed. The implementation utilizes functional mockup units (FMUs) as the executable binary for the models and JavaFMI as the simulation engine. Each model deployment is encapsulated inside a microservice with all the software dependencies, with communication realized through Rabbi
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