Relevant bibliographies by topics / Serverless Kubernetes

Contents

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

Academic literature on the topic 'Serverless Kubernetes'

Author: Grafiati
Published: 7 June 2025
Last updated: 16 July 2025

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Journal articles on the topic "Serverless Kubernetes"

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Pavan, Srikanth SubbaRaju Patchamatla. "Serverless Kubernetes with AI-Augmented DevOps: Optimizing Cloud Infrastructure for Scalable and Cost-Efficient Deployments." Recent Trends in Androids and IOS Applications 7, no. 2 (2025): 1–4. https://doi.org/10.5281/zenodo.14921348.

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<em>The emergence of serverless Kubernetes, combined with AI-augmented DevOps, is transforming cloud infrastructure by enabling scalable, cost-efficient deployments. This research explores the role of AI in optimizing serverless Kubernetes environments by integrating predictive resource management, automated failure detection, and intelligent workload scheduling. The study investigates how AI-driven automation enhances scalability, reduces operational costs, and minimizes human intervention in managing Kubernetes clusters. A comparative analysis of AI-based workload scheduling against traditio
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Adusumilli, Lakshmi Vara Prasad. "Serverless Kubernetes: The Evolution of Container Orchestration." European Journal of Computer Science and Information Technology 13, no. 30 (2025): 20–36. https://doi.org/10.37745/ejcsit.2013/vol13n302036.

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This article examines the convergence of serverless computing and Kubernetes orchestration, representing a significant advancement in cloud-native architecture. Serverless Kubernetes implementations address fundamental operational challenges of traditional container orchestration while preserving its powerful capabilities. It explores the technical foundations enabling this evolution, including Virtual Kubelet for node abstraction, KEDA for event-driven scaling, and Knative for serverless abstractions. It analyzes implementations from major cloud providers—AWS EKS on Fargate, Azure Container I
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Anila, Gogineni. "Helm for Continuous Delivery of Serverless Applications on Kubernetes." International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences 9, no. 6 (2021): 1–11. https://doi.org/10.5281/zenodo.14880986.

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This paper focuses on exploring the utilization of Helm in enabling coantinuous delivery of serverless applications that run on the Kubernetes. Helm helps in covering a package manager for Kubernetes that makes the packaging of serverless architecture more solid with the template Helm charts. By using these charts, developers are able to consolidate and orchestrate deployment pipelines over different environments. The problem addressed in the study is related to real-world issues of serverless applications, focusing on how serverless technologies have to work with Kubernetes, issues with multi
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Decker, Jonathan, Piotr Kasprzak, and Julian Martin Kunkel. "Performance Evaluation of Open-Source Serverless Platforms for Kubernetes." Algorithms 15, no. 7 (2022): 234. http://dx.doi.org/10.3390/a15070234.

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Serverless computing has grown massively in popularity over the last few years, and has provided developers with a way to deploy function-sized code units without having to take care of the actual servers or deal with logging, monitoring, and scaling of their code. High-performance computing (HPC) clusters can profit from improved serverless resource sharing capabilities compared to reservation-based systems such as Slurm. However, before running self-hosted serverless platforms in HPC becomes a viable option, serverless platforms must be able to deliver a decent level of performance. Other re
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Sharma, Vivek. "AI-DRIVEN CLOUD INFRASTRUCTURE: ADVANCES IN KUBERNETES AND SERVERLESS COMPUTING." international journal of advanced research in computer science 16, no. 2 (2025): 65–70. https://doi.org/10.26483/ijarcs.v16i2.7234.

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Artificial Intelligence has been integrated into cloud infrastructure, making it revolutionizing modern computing by automating, scaling, and efficiency. The first of these is Kubernetes and the second is serverless computing. Kubernetes, a container orchestration platform, benefits from AI-driven enhancements in workload scheduling, auto-scaling, and resource optimization. By combining AI based predictive analytics with container deployment, overhead is reduced in terms of the operational overhead as well as the fault tolerance. However, serverless computing takes away the management of infra
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Mehdi Syed, Ali Asghar, and Shujat Ali. "Kubernetes and AWS Lambda for Serverless Computing: Optimizing Cost and Performance Using Kubernetes in a Hybrid Serverless Model." International Journal of Emerging Trends in Computer Science and Information Technology 5 (2024): 50–60. https://doi.org/10.63282/3050-9246.ijetcsit-v5i4p106.

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Bandaru, Santosh Panendra. "Cloud Computing for Software Engineers: Building Serverless Applications." International Journal of Computer Science and Mobile Computing 12, no. 11 (2023): 90–114. https://doi.org/10.47760/ijcsmc.2023.v12i11.007.

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Serverless computing has emerged as a revolutionary paradigm in cloud computing, enabling software engineers to focus on writing application logic while cloud providers handle infrastructure management. This research paper explores the evolution and foundational principles of cloud computing, providing a deep dive into serverless architectures. It examines core technologies such as Function as a Service (FaaS) and Backend as a Service (BaaS), evaluates leading serverless platforms, and discusses development methodologies, security considerations, and cost optimization strategies. Additionally,
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Bezrąk, Krzysztof, and Sławomir Przyłucki. "Impact of the cloud application programming language on the performance of its implementation in selected serverless environments." Journal of Computer Sciences Institute 14 (March 30, 2020): 31–36. http://dx.doi.org/10.35784/jcsi.1572.

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Recent years of cloud technology development have brought a sharp increase in interest in solutions known as serverless systems. Their performance, and thus usefulness in potential applications, strongly depends on the method of program implementation of specific tasks. The article analyzes the impact of selected, currently the most popular, programming languages on the performance of the serverless test infrastructure running in an environment managed by the Kubernetes system. The collected data were used to formulate conclusions regarding the suitability of individual languages in the condit
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Femminella, Mauro, and Gianluca Reali. "Application of Proximal Policy Optimization for Resource Orchestration in Serverless Edge Computing." Computers 13, no. 9 (2024): 224. http://dx.doi.org/10.3390/computers13090224.

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Serverless computing is a new cloud computing model suitable for providing services in both large cloud and edge clusters. In edge clusters, the autoscaling functions play a key role on serverless platforms as the dynamic scaling of function instances can lead to reduced latency and efficient resource usage, both typical requirements of edge-hosted services. However, a badly configured scaling function can introduce unexpected latency due to so-called "cold start" events or service request losses. In this work, we focus on the optimization of resource-based autoscaling on OpenFaaS, the most-ad
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Journal, of Global Research in Multidisciplinary Studies(JGRMS). "Serverless Computing and Cloud-Native Applications Trends in AWS, Kubernetes, and DevOps." Journal of Global Research in Multidisciplinary Studies(JGRMS) 01, no. 03 (2025): 01–07. https://doi.org/10.5281/zenodo.15245283.

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Software development evolution lately resulted in extensive use of cloud-native with serverless computing structures which changed the way applications get designed for deployment. This paper delivers an extensive evaluation of latest developments in cloud-native and serverless models that focuses especially on DevOps methodology integration. Cloud-native architectures with their features of containerization and microservices and orchestration bring agility and scalability alongside fault tolerance capacity. Through serverless computing, developers gain complete infrastructure abstraction to r
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Dissertations / Theses on the topic "Serverless Kubernetes"

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De, Palma Giuseppe. "Serverless Computing Platforms with Customizable Load Balancers." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020. http://amslaurea.unibo.it/20752/.

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Serverless computing is a paradigm where programmers write and compose stateless functions, leaving to Serverless infrastructure providers the duty to manage their deployment and scaling. Although the convenience of being relieved from handling the infrastructure and scaling is very appealing, there can be situations where it becomes a trade-off with efficiency. In this work we discuss several factors that current offerings don't take into account, but have an impact on efficiency and efficacy. When an inbound request to execute a function reaches the infrastructure of a provider, t
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Tentarelli, Edoardo. "Architetture serverless per algoritmi massicciamente paralleli in ambito Industria 4.0." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020. http://amslaurea.unibo.it/20286/.

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L’edge computing permette di distribuire l’elaborazione di servizi direttamente sulle macchine di produzione, evitando di inviare la richiesta verso data center esterni all’organizzazione, con vantaggi evidenti in termini di latenza e sicurezza. Questo modello di esecuzione, molto diffuso in industria manufatturiera, sta portando ad una migrazione dei servizi verso ambienti edge, ma la quantità limitata di risorse rende difficile il deployment di servizi computazionalmente onerosi verso questo modello. Ultimamente, sono state rilasciate sul mercato piattaforme che garantiscono la completa ge
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Books on the topic "Serverless Kubernetes"

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Serverless Architectures with Kubernetes: Create Production-Ready Kubernetes Clusters and Run Serverless Applications on Them. de Gruyter GmbH, Walter, 2019.

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Sarathchandra, Sathsara, and Onur Yılmaz. Serverless Architectures with Kubernetes: Create Production-Ready Kubernetes Clusters and Run Serverless Applications on Them. Packt Publishing, Limited, 2019.

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McKendrick, Russ. Kubernetes for Serverless Applications: Implement FaaS by effectively deploying, managing, monitoring, and orchestrating serverless applications using Kubernetes. Packt Publishing - ebooks Account, 2018.

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Sutter, Burr, and Kamesh Sampath. Knative Cookbook: Building Effective Serverless Applications with Kubernetes and OpenShift. O'Reilly Media, Incorporated, 2020.

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Jakóbczyk, Michał Tomasz. Practical Oracle Cloud Infrastructure: Infrastructure as a Service, Autonomous Database, Managed Kubernetes, and Serverless. Apress, 2020.

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Marchioni, Francesco. Hands-On Cloud-Native Applications with Java and Quarkus: Build High Performance, Kubernetes-Native Java Serverless Applications. Packt Publishing, Limited, 2019.

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Hands-On Cloud-Native Applications with Java and Quarkus: Build High Performance, Kubernetes-Native Java Serverless Applications. de Gruyter GmbH, Walter, 2019.

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Book chapters on the topic "Serverless Kubernetes"

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Pandey, Pravin, and Advait Patel. "Integrating Security in Cloud-Native Development." In Data Governance, DevSecOps, and Advancements in Modern Software. IGI Global, 2025. https://doi.org/10.4018/979-8-3373-0365-9.ch009.

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Cloud-native technologies, such as microservices, containers, and serverless computing, have evolved over the years to become staples in software development, but at the same time, they present several new security risks. DevSecOps has been discussed briefly in this chapter, as well as the practices needed to secure cloud-native applications, focusing on prevention, compliance checks, and sustained monitoring. It explores the automation aspects of CI/CD pipelines, Kubernetes clusters, serverless workloads firewalls, and security policy enforcement through IaC. The chapter also considers novel practices such as Aqua Security, Snyk, and Prisma Cloud familiarization and growing trends in AI-assisted security automation and modern-day standardization. Embedding security through the software development life cycle can help organizations adopt security while attaining the requisite level of security moats while retaining the flexibility necessary in today's cloud environment.
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Dubey, Parul, Arvind Kumar Tiwari, and Rohit Raja. "Compute Services in AWS." In Amazon Web Services: the Definitive Guide for Beginners and Advanced Users. BENTHAM SCIENCE PUBLISHERS, 2023. http://dx.doi.org/10.2174/9789815165821123010009.

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This chapter provides a comprehensive study of container services, specifically focusing on Docker. It includes a detailed comparison between Docker implementation and virtual machines. The chapter offers an overview of various container services provided by AWS, such as Amazon Elastic Container Service (ECS), AWS Fargate, Amazon Elastic Container Registry, AWS Copilot, AWS Batch, and Kubernetes. Additionally, the chapter explores Lambda, a serverless service offered by AWS. It includes practical guidance on creating a lambda function. The chapter also touches upon Lightsail, catering to readers with less experience in AWS. By covering a wide range of topics, from Docker and container services to Lambda and Lightsail, this chapter equips readers with the knowledge and practical skills necessary to work effectively within the AWS ecosystem. It serves as a valuable resource for understanding and utilizing container services, serverless computing, and AWS services tailored for different user levels.
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Conference papers on the topic "Serverless Kubernetes"

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Ciptaningtyas, Henning Titi, Ridho Rahman Hariadi, Fuad Dary Rosyadi, and Syakhisk Syari Al Azmi. "Serverless Computing Model Using Kubernetes and Knative in a Scalable Cloud Development." In 2024 Beyond Technology Summit on Informatics International Conference (BTS-I2C). IEEE, 2024. https://doi.org/10.1109/bts-i2c63534.2024.10942132.

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Chennubhotla, Abhinav, Siddharth Tewari, Harsh Somvanshi, Chinthana M.J, and Deepti C. "Moving Past Docker for Serverless: WebAssembly for Kubernetes Clusters at the Edge." In 2025 10th International Conference on Cloud Computing and Big Data Analytics (ICCCBDA). IEEE, 2025. https://doi.org/10.1109/icccbda64898.2025.11030528.

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Ponnaganti, Venkata Thilak. "Scalable Multi-Model Orchestration in AI Microservices with Kubernetes and Serverless for Event-Driven MLOps Pipelines." In 2025 International Conference on Intelligent Computing and Control Systems (ICICCS). IEEE, 2025. https://doi.org/10.1109/iciccs65191.2025.10985404.

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Govind, Hima, and Horacio GonzaleznVelez. "Benchmarking Serverless Workloads on Kubernetes." In 2021 IEEE/ACM 21st International Symposium on Cluster, Cloud and Internet Computing (CCGrid). IEEE, 2021. http://dx.doi.org/10.1109/ccgrid51090.2021.00085.

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Fan, Dayong, and Dongzhi He. "A Scheduler for Serverless Framework base on Kubernetes." In HPCCT & BDAI 2020: 2020 4th High Performance Computing and Cluster Technologies Conference & 2020 3rd International Conference on Big Data and Artificial Intelligence. ACM, 2020. http://dx.doi.org/10.1145/3409501.3409503.

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Poggiani, Leonardo, Carlo Puliafito, Antonio Virdis, and Enzo Mingozzi. "Live Migration of Multi-Container Kubernetes Pods in Multi-Cluster Serverless Edge Systems." In SEATED '24: 1st Workshop on Serverless at the Edge. ACM, 2024. http://dx.doi.org/10.1145/3660319.3660330.

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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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Sethy, Kishor Kumar, Debabrata Singh, Anil Kumar Biswal, and Sampa Sahoo. "Serverless Implementation of Data Wizard Application using Azure Kubernetes Service and Docker." In 2022 1st IEEE International Conference on Industrial Electronics: Developments & Applications (ICIDeA). IEEE, 2022. http://dx.doi.org/10.1109/icidea53933.2022.9970103.

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Valencia Rivera, Andrés Felipe, Luis Eduardo Sepúlveda Rodríguez, and Christian Andrés Candela Uribe. "La tecnología serverless, una oportunidad para los ecosistemas tecnológicos de apoyo a la investigación." In Ingeniería para transformar territorios. Asociación Colombiana de Facultades de Ingeniería - ACOFI, 2023. http://dx.doi.org/10.26507/paper.3207.

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Los ecosistemas tecnológicos de apoyo a la investigación (ETAI), son ambientes integrados por diversos actores dedicados al desarrollo de ciencia y tecnología, entre ellos, universidades, laboratorios, centros de investigación, industrias e institutos privados, quienes emplean un conjunto heterogéneo de recursos y servicios informáticos (RSI). Esta investigación centra su atención en los ETAI de países en vía de desarrollo, especialmente aquellos que presentan dificultades en la visibilidad y acceso de los RSI limitando así su uso compartido, lo que puede manifestarse en la duplicación de esfu
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Journal articles
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