AWS Full Stack Development for Financial Services
HARSHITA CHERUKURI
, AKSHUN CHHAPOLA , DR. SANJOULI KAUSHIK
• AWS (Amazon Web Services) • Full Stack Development • Financial Services • Cloud Technologies • Scalability • Security • Compliance • Real-Time Data Processing • Transaction Handling • Encryption • Identity and Access Management • Machine Learning • Big Data Analytics • Predictive Models • Fraud Detection
ABSTRACT
In the rapidly evolving financial services sector, the demand for agile, scalable, and secure solutions has driven the adoption of cloud technologies. Amazon Web Services (AWS), with its comprehensive suite of cloud services, offers a robust platform for full stack development tailored to the financial industry. This paper explores the application of AWS in developing full stack solutions for financial services, focusing on how it addresses industry-specific challenges and enhances operational efficiency.
AWS provides a wide range of services that facilitate the creation of end-to-end solutions for financial services, including compute resources, storage solutions, databases, and advanced analytics tools. Key services such as Amazon EC2, AWS Lambda, and Amazon RDS support scalable and resilient application architectures. For financial services, which require real-time data processing and high availability, AWS enables the development of robust systems that can handle large volumes of transactions and data with minimal latency.
One of the core advantages of using AWS for financial services is its emphasis on security and compliance. AWS offers built-in security features such as encryption, identity and access management, and regular compliance audits. These features help financial institutions adhere to stringent regulatory requirements and safeguard sensitive financial data.
Additionally, AWS's scalable infrastructure supports the dynamic needs of financial services startups. Services like Amazon Elastic Beanstalk and AWS CloudFormation simplify the deployment and management of applications, allowing startups to rapidly iterate and deploy new features without significant upfront investment. This agility is crucial in a competitive financial landscape where innovation and speed are critical to success.
The integration of AWS with other technologies, such as machine learning and big data analytics, further enhances its value for financial services. Tools like Amazon SageMaker enable the development of predictive models and data-driven insights, which are essential for fraud detection, risk management, and customer personalization. By leveraging these capabilities, financial institutions can make more informed decisions and improve their service offerings.
"AWS Full Stack Development for Financial Services", IJEDR - INTERNATIONAL JOURNAL OF ENGINEERING DEVELOPMENT AND RESEARCH (www.IJEDR.org), ISSN:2321-9939, Vol.12, Issue 3, page no.14-25, August-2024, Available :https://rjwave.org/IJEDR/papers/IJEDR2403002.pdf
Volume 12
Issue 3,
August-2024
Pages : 14-25
Paper Reg. ID: IJEDR_300757
Published Paper Id: IJEDR2403002
Research Area: Science and Technology
Country: ghaziabad, up, India
ISSN: 2321-9939 | IMPACT FACTOR: 9.37 Calculated By Google Scholar | ESTD YEAR: 2013
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.37 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJEDR (IJ Publication) Janvi Wave
