Cloud computing has become essential for businesses worldwide, with Synergy Research Group reporting a record $126 billion in the first quarter of 2022.
Its cost-effectiveness enables businesses to manage large datasets, work more flexibly, and innovate with optimized resource allocation. Additionally, cloud solutions scale to meet growing bandwidth needs, eliminating the need for expensive on-premise IT infrastructure upgrades.
Demand for high-powered apps is on the rise, making it essential to understand the best programming languages for developing cloud applications. The language chosen is a critical factor in cloud infrastructure performance, impacting dev time, scalability, and security.
This article explores the best programming languages for cloud computing. Let’s discuss this in more detail.
Below are the most opt-for and industry-leading programming languages that support cloud infrastructure development.
Java is an all-in-one developers’ toolset to develop websites, desktop applications, android, iOS, and games. The language offers a resource-rich library to support all programming tasks.
The standard preference among cloud infrastructure developers for developing large-scale, enterprise-grade applications is Java.
Java offers robust security features, a large developer community, and excellent compatibility with cloud platforms such as AWS, Azure, and V2 Cloud, making it a preferred choice for those looking to develop websites and deploy scalable applications seamlessly.
It offers a range of valuable features, including:
Enterprise-grade security, high performance, and simplicity make Java a perfect language for cloud computing.
Besides its established role in cloud computing, Java’s versatility extends to various domains, including web scraping, as demonstrated in java for web scraping.
Python has emerged as one of the leading languages for cloud computing due to its ease of use, performance, open-source development, third-party integrations, and popularity among developers.
Python developers can quickly automate workflows and implement headless computing because of its extensive resource libraries. Python is widely used in data analytics, machine learning, game development, image processing, natural language processing, and for the development of complex scientific applications. Additionally, Python’s capabilities extend to web technologies, making it a popular choice for web crawling and data extraction. Understanding the nuances of web crawling with Python can be highly beneficial for cloud computing professionals, as it enables efficient data harvesting and processing in cloud environments.
Upskilling yourself with Python and its libraries can significantly increase your chances of landing well-paid jobs and joining the community of cloud computing professionals.
Supported by AWS Lambda, Python is used for serverless computing in AWS Cloud. It offers dedicated libraries to automate cloud-based workflows, perform data analysis, and build cloud-native apps.
ASP.NET or .NET, introduced by Microsoft, is widely used programming for web development and cloud-native applications. The language is known for its wide-scale adoption due to its easy-to-use development of dynamic web pages.
A large community of .NET developers and available resource material make the onboarding and development journey easier for entrants and experts. Its significant features include:
Go, also known as GoLang, is another top pick of cloud developers due to its robust features like concurrency and package management. Created by Google, the Go framework offers a quick and seamless way to develop cloud-native applications.
Go is particularly common in the Google Cloud Platform (GCP). It’s a perfect framework for developing cloud-based applications requiring real-time processing and low latency.
It’s a fast, simple programming language with an easy-to-adapt syntax that boasts cross-platform compatibility. Moreover, Go offers a unique combination of robust performance like C/C++, Python’s simplicity, and Java’s efficient concurrency handling.
It provides dynamic interactivity for web pages, including alerts, events, notifications, and pop-ups.It is also well-suited for serverless computing as it allows experts to easily trigger and respond to events, such as changes in data or user interactions.
Additionally, when it comes to developing user interfaces for cloud applications, proficiency in HTML and CSS, often used in conjunction with tools like Photoshop for design mockups, can be invaluable for tasks like PSD to HTML conversion
Ruby on Rails is a web development framework known for producing a clean and streamlined codebase, making implementing new features more accessible.
This framework is ideal for developing complex SaaS and marketplace platforms. Ruby is used for developing various SaaS products by Shopify, Github, and Zendesk.
It offers a balance of functionality, a straightforward approach, and reliability, making it a top pick among cloud developers. From developing a high-end cloud infrastructure or a simple application, Ruby on Rails is the go-to place for all your cloud needs.
Its noteworthy features include:
Each of these programming languages presents industry-leading features for cloud development within their respective domains. Determining the best language hinges on your experience, expertise, and existing and future project requirements.
The table below delineates the advantages and limitations of these programming languages, aiding in an informed decision-making process for aspiring cloud developers.
By weighing these programming languages’ attributes against your specific needs, you can confidently embark on your journey as a cloud developer, leveraging the most suitable framework for your projects.
|Ruby on Rails
Cloud computing is constantly evolving, as businesses worldwide adopt it into their IT systems. Choosing a suitable programming language is essential for successful cloud deployment.
Java and Python are two widely used languages, boasting dedicated resources and expansive libraries suitable for building cloud-native apps. The best language depends on the project’s needs. When picking a language, it is important to consider the tools and platforms available for smooth implementation.