Edge Computing

CLOUDMC FOR EDGE COMPUTING

 
Edge Computing devices are becoming uncontrollably demanding and resource hungry.
Waiting for data from public clouds is no longer becoming a viable option.

Imagine a future, where autonomous vehicles need instantaneous access to apps and data to make critical decisions for safety, navigation, and security. Or maybe it’s just ensuring a smooth transition between cell towers for uninterrupted delivery of video for the kids in the back seat.

This future is fast approaching and the next generation of ultra-low latency applications requires a multi-vendor, highly reliable, distributed and connected, edge cloud infrastructure.

 
 
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Digital Health
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Autonomous Vehicles
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Industrial IOT
Connectivity
Connectivity
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Cloud Gaming
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Smart Agriculture
CloudMC’s edge orchestration platform enables service providers to deliver and monetize compute, storage and networking in more geographically-diverse locations than centralized cloud providers, getting your traditional and cloud native workloads closer to your end users.
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Reliability and Performance
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On-demand Elastic Resources
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Flexibility and Choice
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Edge Analytics and Machine Learning
Owning your Destiny at the Edge

Few individual companies have products that address all parts of edge computing use-cases. Across industries, digital transformation is driving demand for integrated solutions that are comprised of different services – not just from a single, proprietary vendor. CloudMC provides an API-driven platform that supports products and services from a variety of suppliers.

CloudMC abstracts the infrastructure complexity away, and creates user-friendly environments for developers and IT operations to deploy and operate innovative edge services.

In the not too distant future, a developer might provision a cloud instance in Chicago East or Chicago North in the same way that they, today, can provision one in US West or US East. Much of the edge will become part of a cloud-like experience, delivered on a much more fine-grained basis.

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Edge Analytics and Machine Learning

Applications generate massive amounts of data from sensors and IoT devices. This data gains value when deep analytics and machine learning are applied. Sending all of this data to centralized clouds can be inefficient and introduce security and privacy issues. CloudMC orchestrates on-demand edge infrastructure that enables apps to process data locally.

Provide high quality customer experiences, reduce bandwidth, increase security & privacy, and optimize resource usage by running the next generation of apps at the edge.

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Portfolio of Cloud Services?

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