Automation of Microservices Application Deployment Made Easy By Rundeck and Kubernetes

Rajavaram, Harika; Rajula, Vineet; Thangaraju, B.

doi:10.1109/conecct47791.2019.9012811

Cited by 7 publications

(1 citation statement)

References 4 publications

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“…Paper builds on prior Kubernetes work to provide an architecture that offers control over RDMA bandwidth needs within a Kubernetes cluster. The paper referenced [5] explains the increase in the number of applications in the world and the need to compete with such a large volume of apps, a strong, easy-to-scale, and adaptable application is essential to stay in the market and outperform competitors. Microservices architecture and continuous deployment strategies address the aforementioned difficulties and help enterprises enhance their productivity.…”

Section: Literature Surveymentioning

confidence: 99%

Deployment of Applications Using Nginx Ingress Controller

Gautham¹,

Abhijit²,

B³

2021

JUSST

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Cloud computing is a method of storing and manipulating data by utilizing a network of remote servers. Cloud computing is becoming increasingly popular owing to its large storage capacity, ease of access, and wide range of services. Virtualization entered the picture when cloud computing progressed, and technologies or software such as virtual machines emerged. However, when customers’ computational needs for storage and servers rose, virtual machines were unable to meet those expectations owing to scalability and resource allocation limitations. As a result, containerization came into the picture. Containerization refers to the packaging of software code together with all of its necessary elements such as frameworks, libraries, and other dependencies such that they are isolated or segregated in their own container. Kubernetes used as an orchestration tool implements an ingress controller to route external traffic to deployments running on pods via ingress resource. This enables effective traffic management among the running applications avoiding unwanted blackouts in the production environment.

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Section: Literature Surveymentioning

confidence: 99%

Deployment of Applications Using Nginx Ingress Controller

Gautham¹,

Abhijit²,

B³

2021

JUSST

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Microservice transition and its granularity problem: A systematic mapping study

Hassan¹,

Bahsoon²,

Kazman

2020

Softw Pract Exp

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Microservices have gained wide recognition and acceptance in software industries as an emerging architectural style for autonomic, scalable, and more reliable computing. The transition to microservices has been highly motivated by the need for better alignment of technical design decisions with improving value potentials of architectures. Despite microservices' popularity, research still lacks disciplined understanding of transition and consensus on the principles and activities underlying that transition. In this paper, we report on a systematic mapping study that consolidates various views, approaches and activities that commonly assist in the transition to microservices. The study aims to provide a better understanding of the transition; it also contributes a working definition of the transition and technical activities underlying it. We term the transition and technical activities leading to microservice architectures as microservitization. We then shed light on a fundamental problem of microservitization: microservice granularity and reasoning about its adaptation as first-class entities. This study reviews state-of-the-art and-practice related to reasoning about microservice granularity; it reviews modeling approaches, aspects considered, guidelines and processes used to reason about microservice granularity. This study identifies opportunities for future research and development related to reasoning about microservice granularity.

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