Top 10 IoTOps Programming Languages that Coders Ought to Learn in 2023
The article lists the top 10 IoTOps programming languages for 2023 that can be learned
There is no doubt in our minds that IoT is one of the essential languages in this century. IoTOps introduce efficiencies at every stage of your IoT project with full lifecycle management workflows enabled by SaaS product modules for planning, inventory, installation, maintenance, and work order workflows. IoT Operations (IoTOps) is a growing area of responsibility, where teams are accountable for the enterprise’s IoT devices, including automated operations, cybersecurity, and predictive maintenance. The IoTOps programming languages have a crucial role in some of the most critical use cases in the enterprise which include physical security and access control. The need for automating the security and management of IT devices has increased the requirement of learning top IoTOps programming languages. Enterprises today have hundreds, thousands, or even tens of thousands of IoTOps devices to manage and secure which has increased the demand for skilled professionals with knowledge of IoTOps programming languages. IoTOps is mainly focused on managing the new generation of IoT devices that delivers clear business value to the organization. In this article, we will see the top 10 IoTOps programming languages by 2023 that coders should learn to secure a flourishing career.
Java stands first in the list of top IoTOps programming languages. It is an object-oriented programming language that remains one of the most popular choices among IoT developers, and for a good reason. Java was initially designed for set-top boxes but now Java has a ‘run anywhere’ framework.
Golang or Go programming language is an open-source project created by the tech giant Google. Go was invented by Google’s renowned Software Engineers Rob Pike, Robert Griesemer, and Ken Thompson in 2007. But it got released publicly in 2012, and it is distributed under a BSD-style license and is among the oldest IoT programming languages.
Next on the list is C programming language. This is also among the best IoTOps programming languages which help developers who focus on the software layer closest to the hardware. Initially developed in the 1970s, it is widely used for writing Unix system software and has since been applied to various use cases.
ParaSail is an object-oriented parallel programming language that is designed to simplify programming for developers for the use of parallel hardware. Some wonderful features of the language are the elimination of global variables, parameter aliasing, and re-assignable pointers.
Because of its simplicity, Python has become an interpreted, high-level, and general-purpose programming language. No doubt, Python is ruling the IoT industry as well with its super flexibility and ease of learning.
C++ is a general-purpose object-oriented programming language. C++ was designed with a bias toward system programming and embedded, resource-constrained software and large systems, with performance, efficiency, and flexibility of use. It is an upgraded version of C and a cross-platform language that can be used to create high-performance applications that run on multiple devices. Knowledge of C++ is useful for developers to build robust applications.
Ruby is an object-oriented, general-purpose programming language developed by a Japanese computer scientist and software programmer Yukihiro Matsumoto in 1993. He created Ruby as a buffer between human programmers and computing machinery.
Rust is among the top IoTOps programming languages for open-source systems that help developers write their software faster. It was initially designed by Graydon Hoare at Mozilla Research. Rust is an open project with significant contributions from engineers Dave Herman and Brendan Eich.
Swift has become the crucial IoTOps programming language by 2023 because it is used to make applications for iOS devices, and most IoT projects would need to be compatible with an iPhone or an iPad. As IoT also deals with many security concerns, using Swift eliminates entire classes of unsafe code, and the memory is managed automatically.