Relevant bibliographies by topics / Kubernetes

Contents

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

Academic literature on the topic 'Kubernetes'

Author: Grafiati
Published: 4 June 2021
Last updated: 8 February 2025

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Journal articles on the topic "Kubernetes"

1

Raj, Pritish. "Continuous Integration for New Service Deployment and Service Validation Script for Vault." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 06 (June 12, 2024): 1–5. http://dx.doi.org/10.55041/ijsrem35565.

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Modern cloud-native applications demand robust security measures to safeguard sensitive data such as passwords, API keys, and encryption keys. Managing these secrets securely within Kubernetes clusters presents a significant challenge. In response, this project proposes a comprehensive solution leverag- ing HashiCorp Vault, Kubernetes, and Docker to enhance secret management and strengthen overall security posture.HashiCorp Vault serves as a centralized secrets management tool, provid- ing encryption, access control, and auditing functionalities. By integrating Vault with Kubernetes, secrets can be dynamically generated, securely stored, and automatically injected into ap- plication pods at runtime. This approach reduces the exposure of sensitive information within containerized environments and mitigates the risk of unauthorized access. The project architecture involves deploying Vault within the Kubernetes cluster, utilizing Docker containers for seamless encapsulation and portability. Kubernetes’ native integrations with Vault, such as the Kubernetes Auth method and the Vault Agent Injector, streamline the authentication and authorization processes, ensuring secure communication between applications and Vault. The project involves deploying Vault in Kubernetes for secrets management, ensuring High Availability. It focuses on generating, storing, and managing secrets securely, leveraging Vault’s dynamic secrets engine for automatic rotation. Integration with Kubernetes employs authentication methods like Service Accounts and RBAC for granular access control. Dockerization ensures application consistency and portability, with Vault Agent containers enabling seamless secret injection. Security best practices, including least privilege access and encryption, are prioritized, along with regular auditing and monitoring. Overall, the project aims to establish a robust secrets management solution within Kubernetes while empha- sizing resilience, security, and compliance in handling sensitive information. Index Terms—Docker, DevOps, CI/CD, Automation, Secrets, Kubernetes, Vault, Security
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Hadikusuma, Ridwan Satrio, Lukas Lukas, and Karel Octavianus Bachri. "Survey Paper: Optimization and Monitoring of Kubernetes Cluster using Various Approaches." Sinkron 8, no. 3 (July 1, 2023): 1357–65. http://dx.doi.org/10.33395/sinkron.v8i3.12424.

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This research compares different methods for optimizing and monitoring Kubernetes clusters. Three referenced journals are analyzed: "Kubernetes cluster optimization using hybrid shared-state scheduling framework" by Oana-Mihaela Ungureanu, Călin Vlădeanu, Robert Kooij; "Monitoring Kubernetes Clusters Using Prometheus and Grafana" by Salma Rachman Dira, Muhammad Arif Fadhly Ridha; and "Cluster Frameworks for Efficient Scheduling and Resource Allocation in Data Center Networks: A Survey" by Kun Wang, Qihua Zhou, Song Guo, and Jiangtao Luo. These journals explore various approaches to optimizing and monitoring Kubernetes clusters. This review concludes that selecting appropriate technologies for optimizing and monitoring Kubernetes clusters can enhance performance and resource management efficiency in data centre networks. The research addresses the problem of improving Kubernetes cluster performance through optimization and efficient monitoring. The required methods include utilizing hybrid state-sharing scheduling frameworks, implementing Prometheus and Grafana for monitoring, and employing efficient cluster frameworks. The study's findings demonstrate that adopting a hybrid shared-state scheduling framework can improve Kubernetes cluster performance. Additionally, leveraging Prometheus and Grafana as monitoring tools offer valuable insights into cluster health and performance. The survey also reveals various cluster frameworks that enable efficient scheduling and resource allocation in data centre networks. In conclusion, this research emphasizes the significance of employing suitable technologies to optimize and monitor Kubernetes clusters, leading to enhanced performance and efficient resource management in data centre networks. By leveraging appropriate scheduling frameworks and monitoring tools, organizations can optimize their utilization of Kubernetes clusters and ensure efficient resource allocation
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Barreiro Megino, Fernando Harald, Jeffrey Ryan Albert, Frank Berghaus, Kaushik De, FaHui Lin, Danika MacDonell, Tadashi Maeno, et al. "Using Kubernetes as an ATLAS computing site." EPJ Web of Conferences 245 (2020): 07025. http://dx.doi.org/10.1051/epjconf/202024507025.

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In recent years containerization has revolutionized cloud environments, providing a secure, lightweight, standardized way to package and execute software. Solutions such as Kubernetes enable orchestration of containers in a cluster, including for the purpose of job scheduling. Kubernetes is becoming a de facto standard, available at all major cloud computing providers, and is gaining increased attention from some WLCG sites. In particular, CERN IT has integrated Kubernetes into their cloud infrastructure by providing an interface to instantly create Kubernetes clusters, and the University of Victoria is pursuing an infrastructure-as-code approach to deploying Kubernetes as a flexible and resilient platform for running services and delivering resources. The ATLAS experiment at the LHC has partnered with CERN IT and the University of Victoria to explore and demonstrate the feasibility of running an ATLAS computing site directly on Kubernetes, replacing all grid computing services. We have interfaced ATLAS’ workload submission engine PanDA with Kubernetes, to directly submit and monitor the status of containerized jobs. We describe the integration and deployment details, and focus on the lessons learned from running a wide variety of ATLAS production payloads on Kubernetes using clusters of several thousand cores at CERN and the Tier 2 computing site in Victoria.
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Nadaf, Sarah R., and H. K. Krishnappa. "Kubernetes in Microservices." International Journal of Advanced Science and Computer Applications 2, no. 1 (November 12, 2022): 7–18. http://dx.doi.org/10.47679/ijasca.v2i1.19.

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The move towards the microservice grounded armature is well underway. In this architectural style, small and approximately coupled modules are developed, stationed, and gauged singly to compose pall-native operations. still, for carrier- grade service providers to resettle to the microservices architectural style, vacuity remains a concern. Kubernetes is an open source platform that defines a set of structure blocks which inclusively give mechanisms for planting, maintaining, spanning, and healing containerized microservices. therefore, Kubernetes hides the complexity of microservice unity while managing their vacuity. In this paper, we probe further infrastructures and conduct further trials to estimate the vacuity that Kubernetes delivers for its managed microservices. We present different infrastructures for public and private shadows. We estimate the vacuity attainable through the mending capability of Kubernetes. We probe the impact of adding redundancy on the vacuity of microservice grounded operations. We conduct trials under the dereliction configuration of Kubernetes as well as under its most responsive bone . We also perform a relative evaluation with the Vacuity operation Framework( AMF), which is a proven result as a middleware service for managing high- vacuity. The results of our examinations show that in certain cases, the service outage for operations managed with Kubernetes is significantly high
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sai, Karthik. "Enhanced Visibility for Real-time Monitoring and Alerting in Kubernetes by Integrating Prometheus,Prometheus, Grafana, Loki, and Alerta." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 06 (June 10, 2024): 1–5. http://dx.doi.org/10.55041/ijsrem35639.

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With the increasing popularity of Kubernetes as the go-to platform for containerized applications, numerous companies are adopting Kubernetes as their preferred platform for containerized applications. As organizations embrace this container orchestration technology for its scalability, flexibility, and portability benefits, the need for robust monitoring solutions becomes paramount. Monitoring Kubernetes environments is essential to ensure the health, performance, and availability of applications running within the cluster. This paper aims to provide a comprehensive approach for monitoring Kubernetes via Prometheus, Grafana, and Alerta Prometheus, a powerful open-source monitoring system, col- lects metrics from Kubernetes pods and nodes, enabling real- time monitoring of resource utilization, performance metrics, and application health. Grafana complements Prometheus by providing intuitive visualization of collected metrics through customizable dashboards, facilitating comprehensive insights into cluster performance and trends. Loki and Promtail by Grafana are used to collect and aggregate the logs associated with the cluster. Alerta enhances the monitoring setup by enabling alerting based on predefined thresholds and conditions, ensuring prompt notification of potential issues or anomalies. Together, this stack empowers administrators to gain deep visibility into their Kubernetes infrastructure, proactively identify and mitigate issues, and maintain the high availability and reliability of their applications and services. Index Terms—Kubernetes, Prometheus, Grafana, Alerta, Loki, Promtail, Monitoring, Alerting, Logging.
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Vasireddy, Indrani, G. Ramya, and Prathima Kandi. "Kubernetes and Docker Load Balancing: State-of-the-Art Techniques and Challenges." International Journal of Innovative Research in Engineering and Management 10, no. 6 (December 2023): 49–54. http://dx.doi.org/10.55524/ijirem.2023.10.6.7.

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In the ever-evolving landscape of container orchestration, Kubernetes stands out as a leading platform, empowering organizations to deploy, scale, and manage containerized applications seamlessly. This survey paper explores the critical domain of load balancing within Kubernetes, investigating state-of-the-art techniques and the associated challenges. Container-based virtualization has revolutionized cloud computing, and Kubernetes, as a key orchestrator, plays a central role in optimizing resource allocation, scalability, and application performance. Load balancing, a fundamental aspect of distributed systems, becomes paramount in ensuring efficient utilization of resources and maintaining high availability. The study focuses on contemporary methods for achieving effect-ive load balancing on containers, with a specific examination of Docker Swarm and Kubernetes—prominent systems for container deployment and management. The paper illustrates how Docker Swarm and Kubernetes can leverage load bal-ancing techniques to optimize traffic distribution. Load balancing algorithms are introduced and implemented in both Docker and Kubernetes, and their outcomes are systematically compared. The paper concludes by highlighting why Kuber-netes is often the preferred choice over Docker Swarm for load balancing pur-poses.This paper provides a comprehensive overview of the current state-of-the-art techniques employed in Kubernetes load balancing. Challenges inherent to Docker load balancing are addressed, encompassing is-sues related to the dynamic nature of containerized workloads, varying application demands, and the need for real-time adaptability. The survey also explores the role of load balancing in enhancing the scalability and overall performance of applications within Kubernetes clusters. In conclusion, this survey consolidates the current knowledge on Docker and Kubernetes load balancing, offering a state-of-the-art analysis while identifying challenges that pave the way for future research and advancements in the realm of container orchestration and distributed systems.
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Poniszewska-Marańda, Aneta, and Ewa Czechowska. "Kubernetes Cluster for Automating Software Production Environment." Sensors 21, no. 5 (March 9, 2021): 1910. http://dx.doi.org/10.3390/s21051910.

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Microservices, Continuous Integration and Delivery, Docker, DevOps, Infrastructure as Code—these are the current trends and buzzwords in the technological world of 2020. A popular tool which can facilitate the deployment and maintenance of microservices is Kubernetes. Kubernetes is a platform for running containerized applications, for example microservices. There are two main questions which answer was important for us: how to deploy Kubernetes itself and how to ensure that the deployment fulfils the needs of a production environment. Our research concentrates on the analysis and evaluation of Kubernetes cluster as the software production environment. However, firstly it is necessary to determine and evaluate the requirements of production environment. The paper presents the determination and analysis of such requirements and their evaluation in the case of Kubernetes cluster. Next, the paper compares two methods of deploying a Kubernetes cluster: kops and eksctl. Both of the methods concern the AWS cloud, which was chosen mainly because of its wide popularity and the range of provided services. Besides the two chosen methods of deployment, there are many more, including the DIY method and deploying on-premises.
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Kampa, Sandeep. "Navigating the Landscape of Kubernetes Security Threats and Challenges." Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online) 3, no. 4 (December 25, 2024): 274–81. http://dx.doi.org/10.60087/jklst.v3.n4.p274.

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The rise of containerization and the widespread adoption of Kubernetes have revolutionized the way applications are deployed and managed. This paradigm shift has introduced new security risks and challenges that must be addressed. This paper delves into the various security threats and vulnerabilities associated with Kubernetes, exploring mitigation strategies and best practices to enhance the overall security posture of containerized environments. Kubernetes, as a leading container orchestration platform, has become the de facto standard for managing and scaling containerized applications in modern IT infrastructure. While Kubernetes offers numerous benefits, such as improved scalability, portability, and resource optimization, it also introduces a unique set of security concerns that must be carefully navigated. This paper aims to provide a comprehensive overview of the security threats and challenges faced in Kubernetes environments, as well as the current approaches and tools used to address these critical issues.
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Pashikanti, Santosh. "Scaling AI Workloads with NVIDIA DGX Cloud and Kubernetes: A Performance Optimization Framework." International Scientific Journal of Engineering and Management 04, no. 01 (January 19, 2025): 1–5. https://doi.org/10.55041/isjem01346.

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As artificial intelligence (AI) workloads become increasingly complex and resource-intensive, organizations face challenges in scaling their infrastructure to meet performance demands. NVIDIA DGX Cloud, combined with Kubernetes, provides a scalable, high-performance computing platform for AI workloads. This white paper outlines a detailed framework for optimizing performance when deploying AI workloads on NVIDIA DGX Cloud using Kubernetes. It delves into architectural considerations, workload scheduling, resource management, and performance tuning strategies. Web references are provided at the end for further exploration. Key words: NVIDIA DGX Cloud, AI Workload Optimization, TensorRT, Kubernetes GPU Operator, Kubernetes Cluster Security, AI Model Deployment
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Mantha, Gayathri. "Leveraging Containerization Benefits and Challenges of Docker and Kubernetes." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 12 (December 7, 2024): 1–6. https://doi.org/10.55041/ijsrem10557.

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Containerization has revolutionized computer program advancement and arrangement by advertising a reliable and versatile environment for applications. Docker and Kubernetes are two driving innovations in this space. Docker rearranges holder creation, whereas Kubernetes coordinates containerized applications over clusters. This white paper investigates the benefits and challenges related with Docker and Kubernetes, giving a comprehensive diagram for organizations looking to use these advances.
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Dissertations / Theses on the topic "Kubernetes"

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Baldini, Umberto. "Kubernetes." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2020. http://amslaurea.unibo.it/20910/.

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Клименок, В. О. "Відмовостійка система на основі Kubernetes." Thesis, Чернігів, 2021. http://ir.stu.cn.ua/123456789/24848.

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Клименок, В. О. Відмовостійка система на основі Kubernetes : випускна кваліфікаційна робота : 125 "Кібербезпека" / В. О. Клименок ; керівник роботи М. А. Синенко ; НУ "Чернігівська політехніка", кафедра кібербезпеки та математичного моделювання . – Чернігів, 2021. – 48 с.
Метою роботи є розробка відмовостійкої системи захисту веб-додатків на основі Kubernetes Об'єктом дослідження є процес створення відмовостійкої та захищеної системи для веб-додатків. Предметом дослідження є створена та налаштована відмовостійка система з використанням оркестратора Linux контейнерів. Розрахунок економічної ефективності не проводився. Результати та новизна, отримані в процесі дослідження, можуть бути використані при створенні відмовостійкого та захищеної системи для веб-додатків, інтернет магазинів тощо.
The aim of the work is to develop a fault-tolerant system for protecting web applications based on Kubernetes The object of research is the process of creating a fault-tolerant and secure system for web applications. The subject of the research is created and configured fault-tolerant system using the Linux container orchestrator. The calculation of economic efficiency was not performed. The results and novelty obtained in the research process can be used to create a fault-tolerant and secure system for web applications, online stores and more.
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Gasimli, Elkhan. "Container Network Interface Management with Kubernetes." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020.

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The orchestration of containers and cloud-native computing has gained a lot of attention in recent years. The level of adoption has risen to such an extent that even businesses in finance, banking and the public sector are involved. Containers are deployed in both public and private cloud environments and are typically deployed in VM (Virtual Machines) environments for versatility. Microservices demand usage of large number of containers that require orchestration, and one of the most common solutions is Kubernetes. However, Kubernetes does not provide networking solution and CNI (Container Networking Interface) and its plugins provide it. Their capabilities must be measured in order to select the best plugin. In this thesis, the most used Kubernetes CNI plugins such as Flannel, Calico and Cilium are deployed and tested. At the end, main differences, advantages and disadvantages of the plugins are discussed in order to make a corresponding choice based on required project.
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Semprini, Gloria. "Resilienza di applicazioni e Cluster Kubernetes." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/23103/.

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La tesi mira a costruire uno strumento dedicato agli studenti dell'insegnamento di Systems Integration del Corso di Studio in Ingegneria e Scienze Informatiche. Lo strumento vuole mettere a disposizione degli studenti un Cluster Kubernetes i cui nodi siano macchine virtuali tutte operanti su una singola macchina fisica. Rispetto ad altri strumenti didattici pre-esistenti, questo cluster Kubernetes sarà composto da più nodi e permetterà di effettuare sperimentazioni dirette sulle funzionalità di resilienza del cluster. Infatti, lo strumento implementa la tecnologia HA (High Availability) di Kubernetes, replicando i nodi che svolgono le funzionalità di Master ed esponendo all'esterno, come punto di accesso, un nodo, denominato load balancer, con funzioni di bilanciamento di carico tra i master. Lo strumento utilizza l'hypervisor virtualbox operante su una macchina fisica Windows e sfrutta 7 macchine virtuali con sistema operativo Ubuntu server 20.10.
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Медведєв, В. І. "Контейнеризований python додаток в кластері Kubernetes." Master's thesis, Сумський державний університет, 2020. https://essuir.sumdu.edu.ua/handle/123456789/82325.

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Baiardi, Martina. "Controllo e scalabilità automatizzati in cluster Kubernetes." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2020. http://amslaurea.unibo.it/21629/.

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Le moderne applicazioni che vogliono adattarsi al meglio nel distribuito sono costituite da container. Kubernetes (K8s) è un software che fornisce orchestrazione di container lavorando su cluster di macchine che interagiscono tra loro. Sviluppato inizialmente da Google e poi reso open-source nel 2014 proprio per aiutare gli sviluppatori a far funzionare correttamente questa tipologia di sistemi complessi: K8s permette di dispiegare applicazioni containerizzate, facilitandone la configurazione, e di gestire dinamicamente carichi di lavoro variabili nel tempo. L'obiettivo di questa tesi è perciò quello di fornire agli studenti del Corso di Ingegneria e Scienze Informatiche uno strumento per fare pratica con queste infrastrutture software direttamente sulle proprie macchine locali, virtualizzando completamente tutta l'infrastruttura su un singolo host mediante più macchine virtuali.
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Comandini, Alessio. "Kubernetes su GCP: Un approccio top down." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2020.

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Nella tesi viene analizzata l'architettura a microservizi e nello specifico la piattaforma kubernetes e le sue topologie di installazione. Successivamente verrà presentata la piattaforma google cloud platform per valutare i servizi che questa offre per il dispiegamento di cluster kubernetes e di applicazioni sopra questo cluster. Finita la fase di analisi si procederà a mettere in opera un cluster kubernetes e successivamente questo verrà testato attraverso il dispiegamento di una piccola applicazione.
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Gunda, Pavan, and Sri Datta Voleti. "Performance evaluation of wireguard in kubernetes cluster." Thesis, Blekinge Tekniska Högskola, Institutionen för datavetenskap, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-21167.

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Containerization has gained popularity for deploying applications in a lightweight environment. Kubernetes and Docker have gained a lot of dominance for scalable deployments of applications in containers. Usually, kubernetes clusters are deployed within a single shared network. For high availability of the application, multiple kubernetes clusters are deployed in multiple regions, due to which the number of kubernetes clusters keeps on increasing over time. Maintaining and managing mul-tiple kubernetes clusters is a challenging and time-consuming process for system administrators or DevOps engineers. These issues can be addressed by deploying a kubernetes cluster in a multi-region environment. A multi-region kubernetes de-ployment reduces the hassle of handling multiple kubernetes masters by having onlyone master with worker nodes spread across multiple regions. In this thesis, we investigated a multi-region kubernetes cluster’s network performance by deploying a multi-region kubernetes cluster with worker nodes across multiple openstack regions and tunneled using wireguard(a VPN protocol). A literature review on the common factors that influence the network performance in a multi-region deployment is conducted for the network performance metrics. Then, we compared the request-response time of this multi-region kubernetes cluster with the regular kubernetes cluster to evaluate the performance of the deployed multi-region kubernetescluster. The results obtained show that a kubernetes cluster with worker nodes ina single shared network has an average request-response time of 2ms. In contrast, the kubernetes cluster with worker nodes in different openstack projects and regions has an average request-response time of 14.804 ms. This thesis aims to provide a performance comparison of the kubernetes cluster with and without wireguard, fac-tors affecting the performance, and an in-depth understanding of concepts related to kubernetes and wireguard.
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Malina, Peter. "Řadič postupného nasazení software nad platformou Kubernetes." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2019. http://www.nusl.cz/ntk/nusl-403190.

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Potreba dodania hodnoty uživatelom každodočne rastie na kompetitívnom trhu IT. Agilita a DevOps sa stávajú kritickými aspektami pre vývoj software, vyhľadávajúci nástroje ktoré podporujú agilnú kultúru. Softwarové projekty v agilnej kultúre majú častú tendenciu zaoberať sa stratégiami nasadenia ktoré redukujú risk nasadenia nových zmien do existujúceho systému. A však, prostredia určené pre vývoj a testovanie sa takmer vždy odlišujú od produkčných. Využitie primeranej stratégie nasadenie ako canary zlepšuje celkovú stabilitu systému testovaním nových zmien na malej vzorke produkčnej prevádzky. Bolo vykonaných niekoľko experimentov pre dôkaz, že stratégia canary môže pozitívne ovplyvniť stabilitu nasadení a redukovať risk ktorý prinášajú nové zmeny.
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Andersson, Johan, and Fredrik Norrman. "Container Orchestration : the Migration Path to Kubernetes." Thesis, Linnéuniversitetet, Institutionen för datavetenskap och medieteknik (DM), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-97744.

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As IT platforms grow larger and more complex, so does the underlying infrastructure. Virtualization is an essential factor for more efficient resource allocation, improving both the management and environmental impact. It allows more robust solutions and facilitates the use of IaC (infrastructure ascode). Many systems developed today consist of containerized microservices. Considered the standard of container orchestration, Kubernetes is the natural next step for many companies. But how do we move on from previous solutions to a Kubernetes cluster? We found that there are not a lot of detailed enough guidelines available, and set out to gain more knowledge by diving into the subject - implementing prototypes that would act as a foundation for a resulting guideline of how it can be done.
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Books on the topic "Kubernetes"

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Martin, Philippe. Kubernetes. Berkeley, CA: Apress, 2021. http://dx.doi.org/10.1007/978-1-4842-6494-2.

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Yilmaz, Onur. Extending Kubernetes. Berkeley, CA: Apress, 2021. http://dx.doi.org/10.1007/978-1-4842-7095-0.

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Agrawal, Himanshu. Kubernetes Fundamentals. Berkeley, CA: Apress, 2023. http://dx.doi.org/10.1007/978-1-4842-9729-2.

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Schmeling, Benjamin, and Maximilian Dargatz. Kubernetes Native Development. Berkeley, CA: Apress, 2022. http://dx.doi.org/10.1007/978-1-4842-7942-7.

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Khushalani, Prateek. Kubernetes Application Developer. Berkeley, CA: Apress, 2022. http://dx.doi.org/10.1007/978-1-4842-8032-4.

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Nocentino, Anthony E., and Ben Weissman. SQL Server on Kubernetes. Berkeley, CA: Apress, 2021. http://dx.doi.org/10.1007/978-1-4842-7192-6.

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Buchanan, Steve, Janaka Rangama, and Ned Bellavance. Introducing Azure Kubernetes Service. Berkeley, CA: Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-5519-3.

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Sabharwal, Navin, and Piyush Pandey. Pro Google Kubernetes Engine. Berkeley, CA: Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-6243-6.

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Vohra, Deepak. Kubernetes Microservices with Docker. Berkeley, CA: Apress, 2016. http://dx.doi.org/10.1007/978-1-4842-1907-2.

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Vohra, Deepak. Kubernetes Management Design Patterns. Berkeley, CA: Apress, 2017. http://dx.doi.org/10.1007/978-1-4842-2598-1.

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Book chapters on the topic "Kubernetes"

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Acuña, Pablo. "Kubernetes." In Deploying Rails with Docker, Kubernetes and ECS, 27–68. Berkeley, CA: Apress, 2016. http://dx.doi.org/10.1007/978-1-4842-2415-1_3.

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Mustafa, Osama. "Kubernetes." In A Complete Guide to DevOps with AWS, 433–526. Berkeley, CA: Apress, 2023. http://dx.doi.org/10.1007/978-1-4842-9303-4_10.

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Martin, Philippe. "Creating a Cluster with kubeadm." In Kubernetes, 1–9. Berkeley, CA: Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-6494-2_1.

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Martin, Philippe. "Discovery and Load Balancing." In Kubernetes, 101–14. Berkeley, CA: Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-6494-2_10.

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Martin, Philippe. "Security." In Kubernetes, 115–56. Berkeley, CA: Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-6494-2_11.

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Martin, Philippe. "Persistent Volumes." In Kubernetes, 157–68. Berkeley, CA: Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-6494-2_12.

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Martin, Philippe. "Multi-container Pod Design Patterns." In Kubernetes, 169–73. Berkeley, CA: Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-6494-2_13.

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Martin, Philippe. "Observability." In Kubernetes, 175–83. Berkeley, CA: Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-6494-2_14.

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Martin, Philippe. "Upgrading the Cluster." In Kubernetes, 185–91. Berkeley, CA: Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-6494-2_15.

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Martin, Philippe. "Command-Line Tools." In Kubernetes, 193–217. Berkeley, CA: Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-6494-2_16.

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Conference papers on the topic "Kubernetes"

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Chou, Li-Der, Luo-You Jian, and Yan-Wen Chen. "eBPF-Based Network Monitoring Platform on Kubernetes." In 2024 6th International Conference on Computer Communication and the Internet (ICCCI), 140–44. IEEE, 2024. http://dx.doi.org/10.1109/iccci62159.2024.10674074.

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Sinisi, Francesco, Ahmad Alkhansa, Alessandro COSTANTINI, and Diego Michelotto. "HA Kubernetes cluster using Octavia Ingress Controller." In International Symposium on Grids & Clouds (ISGC) 2024, 028. Trieste, Italy: Sissa Medialab, 2024. http://dx.doi.org/10.22323/1.458.0028.

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Zaccarini, Mattia, Davide Borsatti, Walter Cerroni, Luca Foschini, Genady Ya Grabarnik, Lorenzo Manca, Filippo Poltronieri, et al. "TELKA: Twin-Enhanced Learning for Kubernetes Applications." In 2024 IEEE Symposium on Computers and Communications (ISCC), 1–6. IEEE, 2024. http://dx.doi.org/10.1109/iscc61673.2024.10733736.

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Wang, Song, Sheng He, Yishuang Ning, Xiang Gao, and Zhijun Ding. "Heuristic Elastic Scaling for Kubernetes Heterogeneous Microservices." In 2024 International Conference on Networking, Sensing and Control (ICNSC), 1–6. IEEE, 2024. https://doi.org/10.1109/icnsc62968.2024.10759930.

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Fiori, Stefano, Luca Abeni, and Tommaso Cucinotta. "RT-kubernetes." In SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3477314.3507216.

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Telenyk, Sergii, Oleksii Sopov, Eduard Zharikov, and Grzegorz Nowakowski. "A Comparison of Kubernetes and Kubernetes-Compatible Platforms." In 2021 11th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS). IEEE, 2021. http://dx.doi.org/10.1109/idaacs53288.2021.9660392.

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Neto, Pedro Moritz de Carvalho, Márcio Castro, and Frank Siqueira. "Balanceamento de Carga Dinâmico em Ambientes Kubernetes com o Kubernetes Scheduling Extension (KSE)." In Simpósio em Sistemas Computacionais de Alto Desempenho. Sociedade Brasileira de Computação, 2023. http://dx.doi.org/10.5753/wscad.2023.235073.

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A distribuição ineficiente de pods nos nós de um cluster Kubernetes pode levar a um cenário de desbalanceamento do sistema, afetando sua escalabilidade e disponibilidade. Este artigo propõe o Kubernetes Scheduling Extension (KSE), um arcabouço de software que possibilita a implementação de diferentes algoritmos de balanceamento de carga no Kubernetes. Os resultados obtidos com dois algoritmos de balanceamento de carga mostram que o KSE é capaz de melhorar o balanceamento de carga entre os nós sem afetar significativamente a disponibilidade do sistema.
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Burgar, Benjamin, Uroš Brovč, and Urban Zaletel. "Kubernetes v omrežjih z omejenim dostopom." In OTS 2024 Sodobne informacijske tehnologije in storitve, 155–64. Univerza v Mariboru, Univerzitetna založba, 2024. http://dx.doi.org/10.18690/um.feri.4.2024.14.

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Namestitev aplikacij na Kubernetes je preprosta, kadar imamo dostop do javnih ali privatnih registrov. Vendar se pri upravljanju Kubernetes gruče v omrežjih z omejenim dostopom pojavljajo izzivi. Kubernetes uporablja zabojnike, Helm chart-e in druge artefakte, ki jih med delovanjem pridobiva iz internetnih in privatnih registrov. Te artefakte moramo zagotoviti tudi v omrežjih z omejenim dostopom. Pri vzdrževanju več identičnih Kubernetes gruč v takšnih omrežjih se soočamo s problemom sledenja verzij aplikacij in njihove konfiguracije. V članku je predstavljen način namestitve aplikacij na Kubernetes gruče v omrežjih z omejenim dostopom. Prikazana je rešitve za prenos zabojnikov in Helm chart-ov v takšna okolja ter kako lahko brez centralnega sistema za verzioniranje zagotovimo deklarativno namestitev aplikacij. Poudarek je tudi na varnostnem pregledu vseh komponent rešitve in natančnemu sledenju in upravljanju vseh komponent našega sistema, kar je ključno za zanesljivo in ponovljivo namestitev rešitve na različna okolja.
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Dewi, Lily Puspa, Agustinus Noertjahyana, Henry Novianus Palit, and Kezia Yedutun. "Server Scalability Using Kubernetes." In 2019 4th Technology Innovation Management and Engineering Science International Conference (TIMES-iCON). IEEE, 2019. http://dx.doi.org/10.1109/times-icon47539.2019.9024501.

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Moravcik, Marek, Martin Kontsek, Pavel Segec, and David Cymbalak. "Kubernetes - evolution of virtualization." In 2022 20th International Conference on Emerging eLearning Technologies and Applications (ICETA). IEEE, 2022. http://dx.doi.org/10.1109/iceta57911.2022.9974681.

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Reports on the topic "Kubernetes"

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Wernicke, James. How We Ran 500k Containers For Science With Kubernetes. Office of Scientific and Technical Information (OSTI), December 2020. http://dx.doi.org/10.2172/1734709.

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Sica, Jeffrey, Marco Gerosa, and Stephen Hendrick. Kubernetes Turns 10: The Technology's Impact on Careers, Organizations, and Cloud Native Computing. The Linux Foundation, October 2024. https://doi.org/10.70828/yytm5647.

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In 2024, Kubernetes turned 10 years old! To commemorate this milestone, the Cloud Native Computing Foundation commissioned LF Research to survey its community on the impact of the technology. Knowing how the technology has grown over the years, CNCF wanted to capture how it has impacted individual developers, stakeholders, and organizations. The survey received overwhelming participation from community members providing data and stories that speak to the immense value the technology has offered to organizations and individuals at professional and personal levels. From career growth and financial gain, to technological innovation and transformation, read the many stories captured in the full report.
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Mitra, Sayan. Continuous Integration and Deployment Infrastructure for Rapid Testing of Autonomous Transportation Systems. Illinois Center for Transportation, June 2024. http://dx.doi.org/10.36501/0197-9191/24-017.

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This project has led to the creation of an automated-testing infrastructure for autonomy code. The framework uses Jenkins, AWS Lambda, Docker, Kubernetes, and other open-source technologies. It was utilized and evaluated both for the Generalized Racing Intelligence Competition (GRAIC) and for evaluating student programming assignments for the principles of safe autonomy course (ECE484). This infrastructure has improved our capability to evaluate (autograde) student design assignments, and students can also receive precise feedback on their work as they progress through various design challenges. This infrastructure has significantly improved our capability in both automatic, cloud-based testing of autonomy code and making this service available to a large population of students.
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Yoon, Hong-Jun, Daniel Hopp, Kellen Leland, Ryan Prout, Paul Bryant, and Stanton Martin. HyperKube: A Kubernetes based system for the automation of processing and analysis of hyperspectral data obtained from multiple hyperspectral imaging systems. Office of Scientific and Technical Information (OSTI), February 2024. http://dx.doi.org/10.2172/2305378.

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Yoon, Hong-Jun, Dan Hopp, Kellen Leland, Ryan Prout, Paul Bryant, and Stanton Martin. HyperKube: A Kubernetes based system for the automation of processing and analysis of hyperspectral data obtained from multiple hyperspectral imaging systems. Office of Scientific and Technical Information (OSTI), February 2024. http://dx.doi.org/10.2172/2305800.

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