Serverless Infrastructure at Scale: A Comprehensive Framework for Enterprise-Wide FaaS Migration Using AWS Lambda

With organizations aiming for more agility, scalability, and operational effectiveness, serverless computing has become a potent paradigm shift.This paper introduces an enterprise-scale migration framework to Function-as-a-Service (FaaS) on AWS Lambda, outlining the strategic, technical, and organizational aspects involved.It starts with analyzing AWS Lambda's essential capabilities and its status as a core building block of serverless infrastructure, facilitating event-driven, modular, and cost-effective application design.Based on a comprehensive case study of an international financial services firm, the paper discusses practical migration issues faced in real-life, such as complexity of existing systems, security, and cultural opposition.It presents successful methods like phased migration, the strangler pattern, and compliance and scalability management frameworks.Performance assessments provide substantial cost reductions, enhanced system response, and increased operational resilience after migration.In addition, the paper explores new trends in serverless computing, AWS Lambda future projections, and strategic imperatives to inform future enterprise migrations.The conclusion reaffirms the revolutionary potential of serverless architecture in providing accelerated innovation, enhanced resource utilization, and lower infrastructure overhead.Finally, this research is a strategic roadmap for enterprises seeking to transform their IT infrastructures using serverless technologies.

Publication Details

Journal
IARJSET
Published
2025-05-27
DOI
https://doi.org/10.17148/iarjset.2025.125369
Primary Topic
Mobile Agent-Based Network Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Serverless Infrastructure at Scale: A Comprehensive Framework for Enterprise-Wide FaaS Migration Using AWS Lambda

IARJSET
Mobile Agent-Based Network Management
article

Serverless Infrastructure at Scale: A Comprehensive Framework for Enterprise-Wide FaaS Migration Using AWS Lambda

article en

Abstract

With organizations aiming for more agility, scalability, and operational effectiveness, serverless computing has become a potent paradigm shift.This paper introduces an enterprise-scale migration framework to Function-as-a-Service (FaaS) on AWS Lambda, outlining the strategic, technical, and organizational aspects involved.It starts with analyzing AWS Lambda's essential capabilities and its status as a core building block of serverless infrastructure, facilitating event-driven, modular, and cost-effective application design.Based on a comprehensive case study of an international financial services firm, the paper discusses practical migration issues faced in real-life, such as complexity of existing systems, security, and cultural opposition.It presents successful methods like phased migration, the strangler pattern, and compliance and scalability management frameworks.Performance assessments provide substantial cost reductions, enhanced system response, and increased operational resilience after migration.In addition, the paper explores new trends in serverless computing, AWS Lambda future projections, and strategic imperatives to inform future enterprise migrations.The conclusion reaffirms the revolutionary potential of serverless architecture in providing accelerated innovation, enhanced resource utilization, and lower infrastructure overhead.Finally, this research is a strategic roadmap for enterprises seeking to transform their IT infrastructures using serverless technologies.

IARJSETVol. 12(5)
Openalex Percentile: Top 88%
Mobile Agent-Based Network Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.