登录查看更多内容

How can you use interpreted languages for cloud applications?

由人工智能和领英社区提供技术支持

Interpreted languages are programming languages that do not need to be compiled before execution. They are often used for scripting, web development, and data analysis. But can they also be useful for cloud applications? In this article, you will learn how interpreted languages can help you create and deploy cloud applications faster, easier, and more efficiently.

在这篇协作文章中查找专家回答

由社区从 5 条内容中精选。了解更多

1 Benefits of interpreted languages

Interpreted languages have several advantages over compiled languages when it comes to cloud applications. First, they are more portable and flexible, as they can run on different platforms and environments without requiring recompilation. Second, they are more dynamic and expressive, as they allow you to modify and test your code without restarting the application. Third, they are more productive and concise, as they often have higher-level features and libraries that simplify common tasks and reduce boilerplate code.

添加您的观点

Renan Besserra

Supervisor e Especialista Microsoft | MCT | Azure Admin | SC-900 | MCSA | Ethical Hacking | Network+ | ISO 27001 | ITIL | SFPC
举报内容
Linguagens interpretadas, como Python, Ruby e JavaScript, oferecem uma série de vantagens para o desenvolvimento de aplicativos em nuvem. Elas tendem a ter uma curva de aprendizado mais suave e permitem um ciclo rápido de desenvolvimento e teste gra?as à sua natureza dinamica. Além disso, muitas dessas linguagens possuem vastos ecossistemas com bibliotecas prontamente disponíveis que facilitam a integra??o com servi?os em nuvem. Por exemplo, no meu trabalho diário utilizo Python para criar scripts que interagem com APIs do Azure. A capacidade da linguagem de lidar facilmente com solicita??es HTTP e processamento JSON torna-a ideal para automa??o na nuvem.

已翻译

赞
Renato Bezerra

Especialista em Controladoria | Planejamento e Análise Financeira | Transformando Dados em Estratégias de Sucesso
举报内容
Linguagens interpretadas, como Python, JavaScript , Ruby, entre outras, s?o frequentemente utilizadas para o desenvolvimento de aplicativos em nuvem devido à sua facilidade de uso, flexibilidade e disponibilidade de frameworks e bibliotecas para integra??o com servi?os em nuvem. Você pode utilizar frameworks populares como Flask ou Django para Python, Express.js para Node.js e Ruby on Rails para Ruby. As bibliotecas e SDKs disponíveis para essas linguagens simplificam a integra??o com esses servi?os. Pode escrever scripts em Python, por exemplo, para provisionar recursos na AWS, Azure ou Google Cloud Platform de maneira eficiente. Frameworks como Apache Spark, Pandas e Apache Beam oferecem suporte para processamento distribuído.

已翻译

赞

2 Challenges of interpreted languages

However, interpreted languages also have some drawbacks that you need to consider before choosing them for your cloud applications. One of the main challenges is performance, as interpreted languages are usually slower and consume more resources than compiled languages. Another challenge is compatibility, as different versions and implementations of interpreted languages may have different behaviors and features. A third challenge is security, as interpreted languages are more vulnerable to code injection and tampering attacks.

添加您的观点

Renan Besserra

Supervisor e Especialista Microsoft | MCT | Azure Admin | SC-900 | MCSA | Ethical Hacking | Network+ | ISO 27001 | ITIL | SFPC
举报内容
Apesar dos benefícios mencionados acima, as linguagens interpretadas também apresentam desafios quando usadas em ambientes em nuvem. O desempenho pode ser uma preocupa??o se comparado às linguagens compiladas como C# ou Java; além disso, quest?es relacionadas à seguran?a do código-fonte podem surgir já que ele é distribuído na forma n?o compilada. Para mitigar esses problemas no ambiente corporativo onde atuo, implementamos medidas como compila??o just-in-time (JIT) para melhorar o desempenho e técnicas avan?adas de ofusca??o para proteger o código-fonte sensível.

已翻译

赞

3 How to overcome the challenges

Fortunately, there are some ways to overcome the challenges of using interpreted languages for cloud applications. One way is to use hybrid approaches that combine interpreted and compiled languages, such as using Python with C extensions or Ruby with Java libraries. Another way is to use optimization tools and techniques that improve the performance and efficiency of interpreted languages, such as using bytecode compilers, JIT compilers, or native code generators. A third way is to use security best practices and frameworks that protect your code and data from malicious attacks, such as using encryption, authentication, or sandboxing.

添加您的观点

Renan Besserra

Supervisor e Especialista Microsoft | MCT | Azure Admin | SC-900 | MCSA | Ethical Hacking | Network+ | ISO 27001 | ITIL | SFPC
举报内容
Superar os desafios associados às linguagens interpretadas envolve adotar boas práticas como otimiza??o do código através da refatora??o regular e uso eficiente dos recursos computacionais disponíveis na plataforma escolhida. Além disso, ferramentas modernas como contêineres Docker podem encapsular aplica??es escritas nessas línguas juntamente com todas as suas dependências - isso simplifica implanta??es enquanto mantém um alto nível de portabilidade entre diferentes ambientes em nuvem.

已翻译

赞

4 Examples of interpreted languages for cloud applications

When it comes to cloud applications, you have a wide variety of interpreted languages to choose from depending on your needs and preferences. Python is a versatile and powerful language with many libraries and frameworks for web development, data science, machine learning, and automation. Ruby is an expressive and elegant language with a strong community and support for web development, testing, and deployment. JavaScript is a ubiquitous and flexible language that is very popular for web development, particularly in the front-end. PHP is a widely used and mature language that has a large market share and compatibility for web development, particularly in the back-end. Depending on your project, you can use these languages for cloud applications such as Flask, Django, TensorFlow, Ruby on Rails, Sinatra, Chef, Node.js, React, Angular, WordPress, Laravel or Symfony.

添加您的观点

5 How to learn interpreted languages for cloud applications

If you want to learn how to use interpreted languages for cloud applications, you need to have some basic knowledge of operating systems, networking, and programming concepts. You also need to choose a suitable language and environment for your project and goals. You can find many online resources and courses that can help you learn the syntax, features, and best practices of interpreted languages, such as Codecademy, Coursera, or Udemy. You can also join online communities and forums that can provide you with feedback, guidance, and support, such as Stack Overflow, Reddit, or Discord.

添加您的观点

6 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

添加您的观点

Henry Korir

"IT Systems Engineer | Network Security & Cloud Solutions Expert | Advancing Digital Education"
举报内容
Interpreted languages are ideal for cloud applications due to their flexibility and ease of deployment. Platforms like AWS Lambda support languages such as Python, Node.js, and Ruby for serverless computing. For web applications, frameworks like Django (Python), Express.js (Node.js), and Ruby on Rails (Ruby) are commonly used on cloud platforms like Heroku or AWS Elastic Beanstalk. These languages facilitate rapid development, scaling, and maintenance of cloud-based applications.

已翻译

赞

Operating Systems

+ 关注

给文章评分

我们借助人工智能创建了此文章。您认为这篇文章怎么样？

很棒不太好

举报此文章

查看全部

How can you use interpreted languages for cloud applications?

1

2

3

4

5

6

1 Benefits of interpreted languages

2 Challenges of interpreted languages

3 How to overcome the challenges

4 Examples of interpreted languages for cloud applications

5 How to learn interpreted languages for cloud applications

6 Here’s what else to consider

Operating Systems

给文章评分

感谢您的反馈

更多Operating Systems相关文章

更多相关阅读内容

How can you use interpreted languages for cloud applications?

1

2

3

4

5

6

1 Benefits of interpreted languages

2 Challenges of interpreted languages

3 How to overcome the challenges

4 Examples of interpreted languages for cloud applications

5 How to learn interpreted languages for cloud applications

6 Here’s what else to consider

Operating Systems

给文章评分

感谢您的反馈

查看其他技能