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Innovative fog computing solution wins Mirantis Bespoke Kubernetes Engineering Challenge


A groundbreaking fog computing platform,, has been named the winner of the Mirantis Bespoke Kubernetes Engineering Challenge. This novel solution, which aims to harness the power of underutilized computing resources worldwide, stood out for its unique approach, sustainability benefits, and potential to revolutionize the computing landscape.

Harnessing untapped potential

In today's digital age, countless servers, workstations, laptops, and gaming PCs remain idle, despite being connected to the Internet. This untapped potential, especially during times of chip shortages and rising cloud costs, calls for a more efficient and sustainable utilization strategy. Enter the winning solution: a pioneering fog computing platform that brings computing services closer to the edge of the network, prioritizing proximity to end-users and optimizing operational costs, security, and resource exploitation.

Built on a robust open-source software foundation, this platform offers two distinct distributions: public and private. In the public version, any device, whether Windows, Mac, or Linux, initiates an agent that launches a virtual machine (VM). This VM then starts remotely, using IPXE, to boot a contemporary Linux distribution, which ensures file system and network isolation.

Subsequently, the Linux system initiates a Kubernetes worker, dynamically joining a k0smotron Kubernetes control plane shard. Once integrated, these resources become accessible on the computing platform, allowing for the scheduling of Kubernetes workloads. The platform also incorporates blockchain technology with smart contract escrows to mediate between computing resource providers and consumers, ensuring reward payments.

This solution is ideal for tasks such as artificial intelligence (AI) computation, big data processing, scientific calculations, network monitoring, and other batch jobs that don't have stringent security and confidentiality requirements. For those that do, the platform is compatible with advanced hardware features like AMD Epyc Confidential Computing and the forthcoming Intel 5th generation Xeon processors Trusted Domain Extensions, ensuring hardware-isolated Trusted Execution Environments.

Reducing public cloud costs

The private version of the platform is tailored for deployment on familiar hardware. In enterprise settings, for instance, workstations can run the agent and allocate resources during non-working hours, offsetting computational demands from the public cloud. This not only results in cost savings but also keeps data within the enterprise – and not on a public cloud. Given that these workstations are governed by corporate IT policies, there is no added requirement for hardware-assisted confidentiality. A standout feature of this platform is its utilization of the k0smotron-backed dynamic Kubernetes data plane shards and k0s workers, providing a robust foundation for the future of computing.

This win underscores the potential of innovative fog computing solutions in addressing modern-day computing challenges. As the world continues to evolve, solutions like these will pave the way for a more efficient and sustainable digital future.

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