Google Kubernetes Engine (GKE) is a managed, production-ready environment for deploying containerized applications. Within GCP, you can deploy a wide variety of applications in a flexible operating environment. You can also setup auto scaling to let you deal with the ever-changing needs. Best of all, Google Kubernetes Engine enables you to migrate applications smoothly between cloud and local development environments. It is full of flexibility, efficiency and benefits.

BigQuery is a server-less data warehouse service. It is highly scalable, cost-effective and also features BI Engine service in its memory plus built-in machine learning technology. BigQuery lets you focus on analytics without worrying about the IT infrastructure. By leveraging the powerful analytic capability, it’s easy to get in-depth analysis quickly.

Cloud AutoML is a machine learning product from Google. It enables developers to train high-quality models with only basic machine learning knowledge. Cloud AutoML applies the latest Transfer Learning and Neural Network technique, rapidly built machine learning models for vision, languages and structured data.

Google Cloud Service features with flexibility, open source and hybrid cloud characteristics. There are more than 200 APIs to satisfy various needs. Also there is cross-cloud API management platform available on GCP, so that users can develop, protect, deploy and monitor APIs at anytime, anywhere.