A universal approach to access different cloud blob storage from Kubernetes pods in a cost-efficient and scalable way to enable application portability between different cloud providers.

Cristian Ricardo PORTILLO

Master's thesis

Abstract:

In today's digital landscape, businesses are increasingly turning to cloud storage for costeffective and scalable data solutions. However, connecting these storages to Kubernetes pods presents significant obstacles due to the diverse APIs and provider-specific complexities involved. This thesis introduces a versatile approach designed to tackle these challenges, enabling consistent access to cloud storages from Kubernetes pods. Through the use of containers, this method establishes a standardized interface, relieving developers from the task of dealing with provider- specific code, and enabling applications to transition smoothly across various cloud platforms. To illustrate this, I'll examine the situation of ETAS GmbH, currently facing this challenge. This research not only provides a solution to a problem but also contributes to establishing best practices for connecting a cloud storage to Kubernetes pods. Additionally, the knowledge gained from this study empowers organizations to make informed decisions, optimize their operations, and achieve greater efficiency in managing their data across different cloud environments.

Abstract:

Annotation: In today's digital landscape, businesses are increasingly turning to cloud storage for costeffective and scalable data solutions. However, connecting these storages to Kubernetes pods presents significant obstacles due to the diverse APIs and provider-specific complexities involved. This thesis introduces a versatile approach designed to tackle these challenges, enabling consistent access to cloud storages from Kubernetes pods. Through the use of containers, this method establishes a standardized interface, relieving developers from the task of dealing with provider- specific code, and enabling applications to transition smoothly across various cloud platforms. To illustrate this, I'll examine the situation of ETAS GmbH, currently facing this challenge. This research not only provides a solution to a problem but also contributes to establishing best practices for connecting a cloud storage to Kubernetes pods. Additionally, the knowledge gained from this study empowers organizations to make informed decisions, optimize their operations, and achieve greater efficiency in managing their data across different cloud environments.

Language used: English

Date on which the thesis was submitted / produced: 20. 8. 2024

Thesis defence

• Supervisor: Dr. Andreas Wölfl

UNIVERSITY OF SOUTH BOHEMIA IN ČESKÉ BUDĚJOVICE

Faculty of Science

Master programme / field:
Artificial Intelligence and Data Science / Artificial Intelligence and Data Science