People entering the programming field normally go for the traditional computer languages such as JavaScript, C, Java and PHP. These are also generally included in degree courses because they have existed for a long time and are widely implemented in building applications. Even so, Cloud Computing is rapidly growing on the IT industry and the demand for cloud based apps has spiked remarkably in recent years.

Although the Cloud ecosystem is capable of accommodating all kinds of programming languages, it works better with the ones that are more data-oriented. For this reason, the realm of languages suited for cloud computing differs as opposed to traditional choices. Below is a list of programming languages that are widely used or approved in Cloud Applications:

SQL

SQL (Structured Query Language) is the most frequently used language in cloud computing environments. It is considered as the primary language for relational database management. It has a simple syntax which makes it easier to learn. SQL connects the server to the database and enables update + retrieval of data.

R

R is pretty handy when it comes to data analysis of cloud based software development. It is great for managing and optimizing big data calculations for producing statistical reports and graphs. It is basically a language which implies a lot of mathematical terms and formulae.

XML

XML, also known as Extensible Markup Language is used to describe data. It is mostly used with JavaScript and is ideal for large-scale distributed systems. It encodes and documents data into a simplified format, which is easier to read and understand.

Python

Python is a high-level computer language that is compatible with a wide range of computing platforms and technologies. It can be called a general purpose language that can be used for developing both web and desktop applications. It is extremely coherent and easy to learn. It is preferable for complex apps built in the cloud because it smoothly handles large chunks of data.

Erlang

Erlang is a carrier grade language which makes it a promising candidate for manifold cloud applications. It is majorly being employed in the telecommunication industry by Motorola and Ericsson. It is highly scalable and reliable for platforms that are continuously active for serving the masses. It performs ‘garbage collection’ which helps to reclaim memory occupied by discarded/useless elements of the system.

Clojure

Closure is a dynamic language that is based on JVM (Java Virtual Machine) and stems from the Lisp programming language. It is very concurrent in nature and popular among data scientists. It is functional language that does not employ semicolons the way technical languages do.

GO

Cloud servers are meant for running millions of computations at a time at high speed. GO is well known for its efficiency and scalability, which makes it perfect for development of applications in the cloud. It is an excellent alternative to C++ and is outstandingly user-friendly.

Haskell

Haskell is another functional language that is very convenient for cloud computing as it works well with dispersed systems. It uses semantics instead of syntax and is comparatively hard to learn. It does not give instructions, but just expressions; this aids in fast prototyping and enhancing performance of apps.

GFM

GFM (Github Flavored Markdown) is a plain text language used for documenting reports on GitHub. As GitHub is undoubtedly the biggest community of developers, the language has become globally mainstream in the IT industry. It is probably the simplest of languages applicable to cloud applications.

Regex

Regex or Regular Expression syntax is a language specialized towards elaborating a search pattern. It can be described as a string of confusing text that propagated from Linux. It is often used in JavaScript to configure and validate user input.

Ballerina

Ballerina is a contemporary cloud native language that is slowly gaining attention alongside the surge of microservices architecture. It is designed to work with remote endpoints and perfectly collaborate with serverless.