Cloud features explained – Continued

 Herman Rensink Datacentre & Cloud Architect / CISSP

In my article earlier on about  Cloud fecloud-enabling-featuresatures explained I have summarised and explained a few features of the Big 3 Cloud providers from Amazon, Microsoft Azure and Google. In this article I continue where I left of and give you some additional information about the features.

NOSQL Database – A NoSQL database environment is, simply put, a non-relational and largely distributed database system that enables rapid, ad-hoc organisation and analysis of extremely high-volume, disparate data types. NoSQL databases are sometimes referred to as cloud databases, non-relational databases. Scalability, availability, and fault tolerance being key deciding factors.

Azure Table Storage –  is a service that stores structured NoSQL data in the cloud. Table Storage is a key / attribute storage with a schema-less design. As Table Storage schedule charge, you can easily update your details as changing needs of your application.

Data Orchestration – This is a cloud-based data integration service that orchestrates and automates the movement (replication) and transformation of data from On-premise to the Cloud.

Machine learning – is a type of artificial intelligence (AI) that provides computers with the ability to learn without being explicitly programmed. Machine learning focuses on the development of computer programs that can teach themselves to grow and change when exposed to new data.

Intelligence API – Application program interface (API) is a set of routines, protocols, and tools for building software applications and for how software components should interact. Intelligence API focus on the integration of vision, speech, language, knowledge, and search APIs.

Genomics – Google* Genomics helps the life science community organise the world’s genomic information and make it accessible and useful. It uses the concepts and tools to understand, analyse, and interpret data from next generation sequencing experiments.

Internet of things (IoT) is the internetworking of physical devices, vehicles, buildings and other items—embedded with electronics, software, sensors, actuators, and network connectivity that enable these objects to collect and exchange data. The three main basic components are Devices – Gateways – Cloud.

Pro App Development – This service aims at storing data not on a single device but makes data of APPS quickly and easily accessible across all of their device by synchronising the local data to the Cloud. The multi-device access  is contributing to a high availability when internet connectivity is missing or intermittent.

Push notifications uses a highly scalable engine to quickly, deliver targeted and compelling mobile messages to millions of iOS, Android , Windows or Kindle devices to increase usage of an app. They’re permission based and users have to actively opt-in before they receive messaging.

Workflow It is a task coordination and state management (targeted, proposed, observed state) service for cloud applications. Using worklfow allows to simplify the coding process and to focus and invest more in the business logic that makes the applications valuable.

Web Applications – A fully managed web infrastructure that provides the underlying web server instances and surrounding security, management, resilience, and shared storage capabilities.

Media transcoding – A service in the cloud that transcodes media files from their source format into versions that will playback on devices such as smartphones, tablets, and PCs.

For more details about these services here is an interesting URL: Reference chart with IT capability or service.

In my next article I will explain more in detail the (infrastructure) components that comprises these above mentioned services and how they conceptually interact.