BUILDING SCALABLE CLOUD-NATIVE APPLICATIONS WITH SPRING BOOT AND KUBERNETES

This comprehensive article explores the evolution and implementation of cloud-native applications, focusing on their transformative impact on modern software development. The article examines key statistics showing 147% growth in cloud-native adoption between 2019-2021, with 6.5 million developers worldwide embracing these technologies. Through a detailed examination of microservices architecture, Spring Boot framework, and Kubernetes orchestration, the analysis reveals significant improvements, including 50% faster deployment frequencies, 70% reduction in failure rates, and 99.99% system availability. The Market Events Processor project case study demonstrates practical implementation, achieving 84% optimization in resource utilization through Spring Boot and Kubernetes integration while maintaining sub-100ms latency under normal operations and handling 2,500 concurrent requests per pod.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-11-13
DOI
https://doi.org/10.5281/zenodo.14129812
Primary Topic
Software System Performance and Reliability
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

BUILDING SCALABLE CLOUD-NATIVE APPLICATIONS WITH SPRING BOOT AND KUBERNETES

Zenodo (CERN European Organization for Nuclear Research)
Software System Performance and Reliability
article

BUILDING SCALABLE CLOUD-NATIVE APPLICATIONS WITH SPRING BOOT AND KUBERNETES

article en

Abstract

This comprehensive article explores the evolution and implementation of cloud-native applications, focusing on their transformative impact on modern software development. The article examines key statistics showing 147% growth in cloud-native adoption between 2019-2021, with 6.5 million developers worldwide embracing these technologies. Through a detailed examination of microservices architecture, Spring Boot framework, and Kubernetes orchestration, the analysis reveals significant improvements, including 50% faster deployment frequencies, 70% reduction in failure rates, and 99.99% system availability. The Market Events Processor project case study demonstrates practical implementation, achieving 84% optimization in resource utilization through Spring Boot and Kubernetes integration while maintaining sub-100ms latency under normal operations and handling 2,500 concurrent requests per pod.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 58%
Software System Performance and Reliability
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.