归根结底，使用 Google Cloud 的首要优势可能是其技术非常适合多云战略。Kubernetes 和 Tensor Flow 等技术在任何云上都能很好地运行，并被广泛采用。因此，对于希望检查其与 AWS 或 Azure 的供应商关系力量的大型公司来说，使用 Google Cloud 可能是一种对冲。 此外，这些技术已被广泛采用，因此需要 TensorFlow 专业知识的职位招聘起来也相对简单。
让我们来看看 Google Cloud 的核心产品。这些服务分为四类： 计算、存储、大数据和机器学习，如图 9-2 所示。
图 9-2. GCP Cloud 服务
接下来，让我们从计算开始，定义一下 Google Cloud 的主要组件：
计算引擎
与其他云供应商（主要是 AWS 和 Azure）一样，GCP ...
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