Earlier this year, Wind River launched Wind River Studio, a cloud-native platform for the development, deployment, operations, and servicing of mission-critical intelligent systems, particularly relevant for edge devices serving the Industrial IoT community and other vertical industries.
This month they rolled out enhancements to what they describe as a pre-integrated, cloud-scale DevSecOps environment where developers can build, deploy, test, and simulate devices and intelligent systems, as well as preview capabilities including digital twin, digital feedback loop, and AI-enabled libraries and middleware.
The Wind River Studio speeds up product development cycles, and the company says they have achieved milestones, including "a build and test process that takes 12 hours was reduced to an execution time of 16 minutes."
Kevin Dallas, Wind River President & CEO, explained, "The Studio allows us to execute on our mission of enabling our customers to solve the world's hardest problems and realize the digital future of the planet with mission-critical intelligent systems where security, safety, and reliability are not optional."
Intelligent systems will be the fuel that drives 70% of global GDP growth by 2030. Only 15% of major companies in industrial manufacturing, aerospace, defense, energy, medical technology, automotive, and energy systems believed in March 2021 that they were already at an intelligent systems mature state.
"Bringing that power to devices on the intelligent edge is something 39% of these major corporations believe matters now," Dallas said. "Five years from now, that number goes to 59%. It's not just for the devices and applications they sell; it is an identical focus for the devices they build for themselves."
Wind River's "development tooling" runs across the entire lifecycle, from concept to development, testing, and preparedness for scale. With a "cloud scale" DevSecOps environment, and through a single pane of glass portioned in each users' own public cloud instance, privacy, security, and data integrity are supported.
The latest Studio capabilities enable the following through one single pane of glass and hosted in the user's own public cloud instance for privacy/security/data ownership. A few features include:
DevSecOps can build intelligent systems project faster with ML-driven dependency graph analysis to optimize builds.
Developers can secure IP with a backup of code and per user secured access, open-source license compliance, and security vulnerability checking.
Users have access to cloud-based development environments for VxWorks and Linux for building mission-critical intelligent systems.
Teams can collaborate in the environment with shared projects, container registries, code, and artifact repositories.
The company is also previewing the next phase of enhancements, including digital twin, digital feedback loop, and AI-enabled libraries and middleware.
Arti Loftus is an experienced Information Technology specialist with a demonstrated history of working in the research, writing, and editing industry with many published articles under her belt.
Edited by Maurice Nagle