Fault-tolerant Distributed Database for Public Key Infrastructure

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Journal Title

Journal ISSN

Volume Title

Perustieteiden korkeakoulu | Master's thesis

Authors

Date

2024-05-20

Department

Major/Subject

Security and Cloud Computing

Mcode

SCI3113

Degree programme

Master’s Programme in Security and Cloud Computing (SECCLO)

Language

en

Pages

58

Series

Abstract

This thesis presents a practical study focusing on improving service level availability (SLA) and reducing maintenance costs of distributed SQL database clusters by migrating from a traditional manually-managed virtual machine (VM) architecture to a Kubernetes-based one. The original architecture suffers from complex manual recovery processes during node malfunctions, leading to increased downtime. Three failure modes inherent to the original architecture are investigated: 1. primary node failure; 2. replica node failure; 3. split-brain mode. The proposed architecture leverages Kubernetes to automate cluster recovery from primary and replica node failures, significantly reducing downtime compared to manual processes. Furthermore, Kubernetes’ architectural features eliminate split-brain mode entirely.

Description

Supervisor

Siekkinen, Matti

Thesis advisor

Coscia, Bruno Duarte

Keywords

Kubernetes, cloud computing, database, high availability

Other note

Citation

Permanent link to this item

https://urn.fi/URN:NBN:fi:aalto-202405263839

Collections

[dipl] Perustieteiden korkeakoulu / SCI