Harnessing Kubernetes expertise to simplify DevOps with Cloud66

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Accelerating AI inference workloads
Опубликовано 11 мая 2018, 17:31
Using Google Kubernetes Engine, Cloud 66 autoscales to meet peaks in demand across time zones, saving 70% in computing costs while serving almost 4,000 customer workloads. It can operate at a global scale to meet daily peaks in demand across time zones; increase efficiency and reduce compute costs by 70%; and enable a powerful proof point for using its own container delivery pipeline and operations products to integrate with Google Kubernetes Engine.

More information about:

Copper, an Open Source Tool to Validate Kubernetes Configuration File: blog.cloud66.com/introducing-c...

Habitus, an Open Source standalone build flow tool for Docker: habitus.io

Skycap, the complete container delivery pipline: cloud66.com/containers/skycap#...

Google Cloud and Cloud 66 case study: cloud.google.com/customers/clo...
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