An Analysis of How Serverless Architecture Benefits the Development of a Scalable Web3 Wallet Aggregation App
Creators
Description
This dissertation explores the integration of serverless computing and blockchain technology
in developing a Web3 wallet aggregation application, WalletScan. Positioned at the
intersection of serverless cloud technology and digital economies, WalletScan embodies the
potential and challenges of employing serverless architectures to manage blockchain data
effectively. Through a practical application framework, this study investigates the scalability,
cost-efficiency, and developer experience of serverless systems in supporting complex, data-
oriented blockchain applications.
The research delves into the deployment of WalletScan as a Software-as-a-Service (SaaS)
platform, enabling users to scan blockchain wallets and analyse cryptocurrency transactions.
The application leverages Firebase for authentication and serverless backend operations,
Vercel for serverless frontend deployment, and integrates sophisticated features like Web3
onboarding and WalletConnect to ensure secure user interactions.
Significant findings indicate that serverless architectures facilitate rapid deployment and
scalability while minimizing operational overhead and costs. However, challenges such as
third-party API integration complexities and the inherent limitations of serverless platforms
in handling granular control over backend processes are also documented. This study
provides a balanced perspective on the feasibility of serverless technologies in the emerging
field of Web3, underscoring both their transformative potential and the need for enhanced
tools and strategies to address their limitations.
By examining WalletScan's implementation and operational dynamics, this dissertation
contributes to the understanding of how serverless computing can be optimally harnessed in
blockchain applications, offering insights that are vital for developers and industry
practitioners navigating the evolving landscape of digital finance and decentralised
applications.
Files
Final_Dissertation.pdf
Files
(8.5 MB)
Name | Size | Download all |
---|---|---|
md5:ec7e661a687ff2edb793deda60e67498
|
8.5 MB | Preview Download |