| Form of studies |
Master |
| Title of the study programm |
Business Informatics |
| Title in original language |
Ietvars bezserveru skaitļošanas izmaksu novērtēšanai salīdzinājumā ar mikropakalpēm. |
| Title in English |
A Framework for Evaluating Serverless Computing as a Cost-Effective Alternative to Microservices. |
| Department |
Faculty Of Computer Science Information Tehnology And Energy |
| Scientific advisor |
Gundars Alksnis |
| Reviewer |
Pēteris Rudzājs |
| Abstract |
This study focuses on serverless computing as an inexpensive alternative of
microservices architecture based on a mixed-method approach utilizing Amazon Web
Services. The study develops a comprehensive evaluation framework integrating
quantitative performance benchmarking with qualitative expert insights. Controlled
experiments compare AWS Lambda and EC2 implementations across key metrics
including scalability, resource utilization, latency, and operational costs. Results
indicate serverless computing offers significant advantages for variable workloads
through automatic scaling and pay-per-invocation pricing, while microservices
provide predictable performance for sustained high-traffic scenarios. However,
challenges persist including cold start delays, vendor lock-in concerns, and
monitoring complexity. Expert interviews reveal pragmatic hybrid architectures
combining both paradigms according to workload characteristics. The framework
contributes
actionable decision-making guidance for cloud infrastructure
optimization, balancing technical performance against organizational capabilities and
strategic objectives. This research advances both academic understanding and
practical enterprise strategy in cloud-native architecture selection. |
| Keywords |
MĀKOŅSKAITĻOŠANAS IZMAKSU OPTIMIZĀCIJA, HIBRĪDARHITEKTŪRA, MIKROPAKALPOJUMU ARHITEKTŪRA, VEIKTSPĒJAS BENČMARKINGS, BEZSERVERU SKAITĻOŠANA |
| Keywords in English |
CLOUD COST OPTIMIZATION, HYBRID ARCHITECTURE, MICROSERVICES ARCHITECTURE, PERFORMANCE BENCHMARKING, SERVERLESS COMPUTING |
| Language |
lv |
| Year |
2026 |
| Date and time of uploading |
06.01.2026 10:15:14 |
