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University of New HampshireUniversity of New Hampshire Scholars\' Repository Master\'s Theses and CapstonesStudent ScholarshipFall 2018SCALABLE WEB SERVICE DEVELOPMENT WITH AMAZON WEB SERVICES Patrick

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How to fill out scalable web service development

01

Identify the requirements and goals of the web service

02

Choose a scalable architecture that can handle increasing loads

03

Use appropriate technologies and tools for development

04

Optimize performance and scalability through efficient coding practices

05

Implement monitoring and testing to ensure scalability and reliability

Who needs scalable web service development?

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Large enterprises with high traffic websites

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E-commerce platforms

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Social media networks

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Mobile app developers

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What is scalable web service development?

Scalable web service development is the practice of designing and implementing web services that can handle a growing amount of workload without compromising performance or functionality.

Who is required to file scalable web service development?

Developers and engineers who are working on web service projects that are expected to scale in terms of users, data volume, or traffic are required to file scalable web service development plans.

How to fill out scalable web service development?

Scalable web service development plans can be filled out by following a structured approach that includes identifying potential bottlenecks, choosing appropriate technologies, designing for scalability from the start, and testing under load to ensure performance.

What is the purpose of scalable web service development?

The purpose of scalable web service development is to ensure that web services can handle an increasing amount of workload or traffic as the user base grows, without experiencing downtime or performance issues.

What information must be reported on scalable web service development?

Information that must be reported on scalable web service development includes the technologies used, scalability strategies implemented, performance benchmarks, potential bottlenecks, and testing results under high load conditions.

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