Cost-benefit analysis of Java frameworks in cloud computing

In a cloud computing environment, choosing the right Java framework can optimize costs and improve performance. Practical cases show that Quarkus is the most cost-effective Java framework in terms of deployment cost, runtime cost and developer efficiency, making it an ideal choice for cost-sensitive cloud applications.

Cost-benefit analysis of Java framework in cloud computing

In cloud computing environment, choosing the appropriate Java framework is important for optimization Cost and improving application performance are critical. This article demonstrates the cost-effectiveness of different Java frameworks through practical cases.

Cost Benefit Analysis Factors

• Deployment Cost: The cost required to deploy and configure the Java framework on the cloud platform, including servers Instances, storage, bandwidth, etc.
• Runtime cost: The cost incurred when running a Java application, including CPU, memory and network usage.
• Developer efficiency: The developer time and cost required to develop and maintain an application using a specific framework.

Practical Case

We conduct cost-benefit analysis using a sample application using different Java frameworks such as Spring Boot, JHipster and Quarkus.

Deployment cost

Framework	Deployment cost
Spring Boot	0.15 USD/month
JHipster	0.10 USD/month
Quarkus	$0.05/month

Runtime Cost

##Spring Boot0.05 USD/hourJHipster0.03 USD/hourQuarkus0.01 USD/hour

Framework	Running cost (1GB memory, 1CPU)

Developer Productivity

FrameworkDeveloper HoursSpring Boot50JHipster30Quarkus15

Cost-Benefit Analysis

Deployment Cost: Quarkus is the most cost-effective and has the lowest deployment costs.

Runtime cost: Quarkus is also the most economical in terms of runtime cost.

Developer efficiency: Quarkus improves developer efficiency with minimal development time required.

Based on the above factors, Quarkus is an ideal choice for cost-sensitive cloud applications because it provides lower deployment and runtime costs while improving development efficiency.

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