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The APIs provide functionality like analytics, machine learning as a service (the Prediction API) or access to user data (when permission to read the data is given). Another important example is an embedded Google map on a website, which can be achieved using the Static Maps API, [1] Places API [2] or Google Earth API. [3]
An application programming interface (API) is a connection between computers or between computer programs. It is a type of software interface, offering a service to other pieces of software. [1] A document or standard that describes how to build such a connection or interface is called an API specification.
Google Cloud Platform is a part [8] of Google Cloud, which includes the Google Cloud Platform public cloud infrastructure, as well as Google Workspace (G Suite), enterprise versions of Android and ChromeOS, and application programming interfaces (APIs) for machine learning and enterprise mapping services.
Lyft contributed Envoy to Cloud Native Computing Foundation in September 2017. [12] etcd: etcd is a distributed key value store, providing a method of storing data across a cluster of machines. [13] It became a CNCF incubating project in 2018 at KubeCon+CloudNativeCon North America [14] in Seattle that year. [15]
Google App Engine (also referred to as GAE or App Engine) is a cloud computing platform used as a service for developing and hosting web applications. Applications are sandboxed and run across multiple Google-managed servers. [ 2 ]
The aim of the Open Cloud Computing Interface is the development of an open specification and API for cloud offerings. The focus was on Infrastructure-as-a-Service (IaaS) based offerings but the interface can be extended to support Platform and Software as a Service offerings [ 3 ] as well.
Google Compute Engine Unit (GCEU), which is pronounced as GQ, is an abstraction of computing resources. According to Google, 2.75 GCEUs represent the minimum power of one logical core (a hardware hyper-thread) based on the Sandy Bridge platform. The GCEU was created by Anthony F. Voellm out of a need to compare the performance of virtual ...
The drawbacks of DaaS are generally similar to those associated with any type of cloud computing, such as the reliance of the user on the service provider's ability to avoid server downtime from terrorist attacks, power outages or natural disasters. A common criticism specific to the DaaS model is that when compared to traditional data delivery ...