The growing influence of containers, microservices, and cloud-native computing is changing the way developers think about building and deploying applications. As a result, the need for a more flexible and dynamic approach to DevOps is increasing. This is where the role of languages comes into play.

In the past, DevOps teams were largely reliant on a limited set of languages, such as Bash and Python. However, as the complexity of applications has increased, so has the need for a wider range of languages. Today, DevOps teams are using a variety of languages, including Go, Rust, and Node.js, to build and manage their applications.

This change is being driven by several factors, including the need for higher performance, the need for greater flexibility, and the need for a more collaborative environment. Go, for example, is a high-performance language that is well-suited for building microservices. Rust is a memory-safe language that is becoming increasingly popular for writing systems software. And Node.js is a JavaScript runtime that is widely used for building web applications.

The use of a wider range of languages is also leading to a more collaborative environment. In the past, DevOps teams were often siloed, with developers working in one language and operations teams working in another. However, as the use of multiple languages has become more common, teams are finding that they need to work together more closely. This is leading to a more collaborative and productive environment.

The changing landscape of languages in DevOps is having a number of benefits. First, it is leading to the development of more innovative and scalable applications. Second, it is making it easier for teams to collaborate and work together. And third, it is leading to a more efficient and productive development process.

As the use of containers, microservices, and cloud-native computing continues to grow, it is likely that the role of languages in DevOps will continue to evolve. In the future, we can expect to see even more languages being used in a wider range of ways. This will continue to drive innovation and improve the way that applications are built and deployed.

IAR Systems, a supplier of software tools and services for embedded development, has released an update of its RISC-V build tools that supports implementation in Linux-based frameworks for automated application build and test processes.

This addition further extends IAR Systems’ offering for flexible automated workflows, enabling streamlined workflows from the developer environment to Continuous Integration (CI). Thanks to the tools including the static code analysis tool C-STAT, code quality control from development to building and testing processes can now be achieved.

Smarter and more complex embedded applications are driving a need for more scalable and flexible software development environments. The RISC-V community now range from publicly funded research projects, all the way into some of the world’s largest corporations and what is true for all these organisations is a shared need for automated processes that ensure quality all the way from development into building and testing.

IAR Systems’ build tools for Linux makes it possible to optimise resources when it comes to the time developers spend in their projects, as well as to manage and utilize licenses and servers in an optimal way.

The tools can be easily integrated into different build systems, such as CMake or Ninja, and the command line build utility IARBuild streamlines building for easy integration with Continuous Integration engines like Jenkins and Bamboo.

With the integrated static analysis tool C-STAT, developers will be able to ensure code quality throughout the development and testing process. C-STAT proves code alignment with industry standards like MISRA C:2012, MISRA C++:2008 and MISRA C:2004, and also detects defects, bugs, and security vulnerabilities as defined by CERT C and the Common Weakness Enumeration (CWE).

“We have seen a huge demand for our newly released Build Tools for Linux for other architectures, which has led us to bring this opportunity also to RISC-V,” said Anders Holmberg, General Manager Embedded Development Tools, IAR Systems. “In setting up infrastructure for working with new technology, it can be easier to fully adapt best practices like CI and DevOps, and break with legacy ways of working. This will result in accelerated software development that can be quality-assured through flexible, automated workflows. Through the extended possibilities for building on Linux-based servers, we equip companies with streamlined workflows for enhanced productivity and strengthened team collaboration.”

The build tools for Linux includes the IAR C/C++ Compiler, IAR Assembler, Linker and library tools, IARBuild and runtime libraries. The tools also include the integrated static code analysis tool C-STAT. The IAR C/C++ Compiler adheres to a freestanding implementation of the C18 (ISO/IEC 9899:2018) programming language standard and supports all C++17 features.