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Google Cloud Platform

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更新于 : Nov 14, 2018
不在本期内容中
这一条目不在当前版本的技术雷达中。如果它出现在最近几期中,那么它很有可能仍然具有相关参考价值。如果这一条目出现在更早的雷达中,那么它很有可能已经不再具有相关性,我们的评估将不再适用于当下。很遗憾我们没有足够的带宽来持续评估以往的雷达内容。 了解更多
Nov 2018
Trial ? 值得一试。了解为何要构建这一能力是很重要的。企业应当在风险可控的前提下在项目中尝试应用此项技术。

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
Trial ? 值得一试。了解为何要构建这一能力是很重要的。企业应当在风险可控的前提下在项目中尝试应用此项技术。

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
Trial ? 值得一试。了解为何要构建这一能力是很重要的。企业应当在风险可控的前提下在项目中尝试应用此项技术。

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.

发布于 : Nov 30, 2017

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