IAR Build Tools for Linux
Automated builds on Linux using well-known build tools from IAR Embedded Workbench for Arm.
Complete build tools for Arm
The build tools include the IAR C/C++ Compiler, IAR Assembler, Linker and the command line build utility IARBuild for supporting Linux-based frameworks for automated application build and test processes. The build tools enable large-scale deployments of critical software building and testing.
Flexible and high performance
Suitable for installations ranging from a few licenses on a small build server, to massive installations with several hundreds of parallel builds active at the same time.
7,000+ supported Arm devices
Support for all 32-bit Arm core from all major vendors and selected 64-bit Arm cores. This includes Arm Cortex-M0, Cortex-M0+, Cortex-M1, Cortex-M3, Cortex-M4, Cortex-M7, Cortex-M23, Cortex-M33, Cortex-R4, Cortex-R5, Cortex-R7, Cortex-R8, Cortex-A5, Cortex-A7, Cortex-A8, Cortex-A9, Cortex-A15, Cortex-A35, Cortex-A53, Cortex-A55 and Arm11, Arm9, Arm7 and SecurCore.
Modern, scalable workflows
Support for modern and scalable build server topologies for CI/CD pipelines including Virtual Machines, Containers (Docker) and Self-hosted Runners.
Enabled by IAR Build Tools for Linux
Today's development practices require automated processes to ensure quality, and to run builds and tests continuously. All changes, even minor ones, are merged back to the main branch or repository in a build server so they can be committed and validated in small steps to avoid the integration nightmare to guarantee that all pieces work together just before a release. Merges are done as often as possible or at least once a day.
Many companies are bringing this approach to the next level by adding automated release processes and deployment of the application at any time.
Continuous Integration and Continuous Delivery
Build servers and build farms require flexible and high-performance environments. By using our build tools for Linux, you are able to use Continuous Integration and Continuous Delivery in Linux environments natively or as virtual machines or containers with high performance. This allows you to focus on the source code and not worry about time-consuming manual tasks, while errors are caught automatically.