Google introduces the distributed cloud model
By MYBRANDBOOK
Google is introducing the Google Distributed Cloud, a portfolio of solutions consisting of hardware and software that extend its infrastructure to the edge and into company data centers. This announcement was made at Google Cloud Next ’21. It says, depending on the organization’s needs, Google Distributed Cloud can run across multiple locations. Google Distributed Cloud, customers can migrate or modernize applications and process data locally with Google Cloud services, including databases, machine learning, data analytics and container management.
Key Highlights includes:
Google’s network edge - Allowing customers to leverage over 140+ Google network edge locations around the world.
Operator edge - Enabling customers to take advantage of an operator’s edge network and benefit from 5G/LTE services offered by our leading communication service provider (CSP) partners. The operator edge is optimized to support low-latency use cases, running edge applications with stringent latency and bandwidth requirements.
Customer edge - Supporting customer-owned edge or remote locations such as retail stores, factory floors, or branch offices, which require localized compute and processing directly in the edge locations.
Customer data centers - Supporting customer-owned data centers and colocation facilities to address strict data security and privacy requirements, and to modernize on-premises deployments while meeting regulatory compliance.
Google Distributed Cloud is built on Anthos, an open-source-based platform that unifies the management of infrastructure and applications across on-premises, edge, and in multiple public clouds, all while offering consistent operation at scale.
Customers can also leverage third-party services from leading vendors in their own dedicated environment. At launch, a diverse portfolio of partners, including Cisco, Dell, HPE, and NetApp, will support the service.
Google Distributed Cloud Edge empowers you to run 5G Core and radio access network (RAN) functions at the edge, alongside enterprise applications, to support mission-critical use cases such as computer vision and Google AI edge inferencing.
Designed to run sensitive workloads, Google Distributed Cloud Hosted builds on the digital sovereignty vision Google outlined last year, and supports public-sector customers and commercial entities that have strict data residency, security or privacy requirements.
Google Distributed Cloud Hosted provides users with a safe and secure way to modernize an on-premises deployment.
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