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Plataformas
Google Cloud Platform
NOT ON THE CURRENT EDITION
This blip is not on the current edition of the Radar. If it was on one of the last few editions it is likely that it is still relevant. If the blip is older it might no longer be relevant and our assessment might be different today. Unfortunately, we simply don't have the bandwidth to continuously review blips from previous editions of the RadarUnderstand more
Published: Nov 30, 2017
Last Updated: Nov 14, 2018
Nov 2018
Experimente
As Google Cloud Platform (GCP) has expanded in terms of available geographic regions and maturity of services, customers globally can now seriously consider it for their cloud strategy. In some areas, GCP has reached feature parity with its main competitor, Amazon Web Services, while in other areas it has differentiated itself—notably with accessible machine learning platforms, data engineering tools, and a workable Kubernetes as a service solution (GKE). In practice, our teams have nothing but praise for the developer experience working with the GCP tools and APIs.
May 2018
Experimente
As Google Cloud Platform (GCP) has expanded in terms of available geographic regions and maturity of services, customers globally can now seriously consider it for their cloud strategy. In some areas, GCP has reached feature parity with its main competitor, Amazon Web Services, while in other areas it has differentiated itself — notably with accessible machine learning platforms, data engineering tools, and a workable Kubernetes as a service solution (GKE). In practice, our teams have nothing but praise for the developer experience working with the GCP tools and APIs.
Nov 2017
Experimente
As Google Cloud Platform (GCP) has expanded in terms of available geographic regions and maturity of services, customers globally can now seriously consider it for their cloud strategy. In some areas, GCP has reached feature parity with its main competitor, Amazon Web Services, while in other areas it has differentiated itself — notably with accessible machine learning platforms, data engineering tools, and a workable Kubernetes as a service solution (GKE). In practice, our teams have nothing but praise for the developer experience working with the GCP tools and APIs.