METHODS OF BACKEND SYSTEM OPTIMIZATION FOR PERFORMANCE ENHANCEMENT

This article examines modern methods of optimizing backend systems to enhance their performance, reliability, and scalability. Special attention is given to architectural approaches such as microservice architecture, which promotes efficient and independent scaling and resource management. Various database optimization techniques, including indexing and replication, are also discussed, along with the use of caching strategies to minimize system response time. The optimization of API performance is explored, which helps reduce latency and improve the efficiency of interaction between various services.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-10-27
DOI
https://doi.org/10.5281/zenodo.13999045
Primary Topic
Software System Performance and Reliability
Type
article
Field-Weighted Citation Impact
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article

METHODS OF BACKEND SYSTEM OPTIMIZATION FOR PERFORMANCE ENHANCEMENT

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

METHODS OF BACKEND SYSTEM OPTIMIZATION FOR PERFORMANCE ENHANCEMENT

article en

Abstract

This article examines modern methods of optimizing backend systems to enhance their performance, reliability, and scalability. Special attention is given to architectural approaches such as microservice architecture, which promotes efficient and independent scaling and resource management. Various database optimization techniques, including indexing and replication, are also discussed, along with the use of caching strategies to minimize system response time. The optimization of API performance is explored, which helps reduce latency and improve the efficiency of interaction between various services.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 60%
Software System Performance and Reliability
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METHODS OF BACKEND SYSTEM OPTIMIZATION FOR PERFORMANCE ENHANCEMENT · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS