How To Start Learning Cloud Computing

photo src: www.lynda.com

Google Cloud Platform, offered by Google, is a suite of cloud computing services that runs on the same infrastructure that Google uses internally for its end-user products, such as Google Search and YouTube. Alongside a set of management tools, it provides a series of modular cloud services including computing, data storage, data analytics and machine learning.. Registration requires a credit card or bank account details.

photo src: www.lynda.com

Maps, Directions, and Place Reviews

Products

Popular products

A sample of products are listed below, this is not an exhaustive list.

• App Engine - PaaS for application hosting.
• BigQuery - IaaS large scale database analytics.
• Bigtable - IaaS massively scalable NoSQL database.
• Cloud AutoML - suite of Machine Learning products that allow developers with limited machine learning expertise to leverage Google's transfer learning and Neural Architecture Search technology. Image labeling service available.
• Cloud Datastore - DBaaS providing a document-oriented database.
• Cloud Functions - FaaS providing serverless functions to be triggered by cloud events.

• Cloud Machine Learning Engine - Managed machine learning as a service for training and executing TensorFlow models.
• Cloud Pub/Sub - a service for publishing and subscribing to data streams and messages. Applications can communicate via Pub/Sub, without direct integration between the applications themselves.
• Compute Engine - IaaS providing virtual machines.
• Kubernetes Engine - A managed container orchestration service for Kubernetes.
• Storage - IaaS providing RESTful online file and object storage.

Similarity to services by other cloud service providers

For those with familiarity with other notable cloud service providers, a comparison of similar services may be helpful in understanding Google Cloud Platform's offerings.

How To Start Learning Cloud Computing Video

Timeline

• April 2008 - Google App Engine was released as a preview.
• May 2010 - Google Cloud Storage launched.
• July 2012 - Google creates the Google Cloud Platform Partner Program.
• October 2012 - Shortly after the Amazon outage, Google App Engine experienced a major outage that also affected Tumblr and Dropbox.
• April 2013 - BigQuery, first presented in March, went into General Availability (GA).
• December 2013 - After an 18-month preview Google Compute Engine was released into GA.
• February 2014 - Google Cloud SQL was released into GA.
• March 2014 - During the Google Cloud Platform Live, Google announced their biggest price drop affecting all products between a 30% and 85%.
• March 2014 - Google announced Managed Virtual Machines, a new feature to overcome the traditional limitations in Google App Engine.
• February 11, 2016 - Google Cloud Functions announced for preview.
• February 22, 2016 - Google Cloud Dataproc entered general availability.
• October 18, 2016 - Nomulus top-level domain registry announced.
• November 15, 2016 - Google Cloud Jobs API enters is released.
• March 8th, 2017 - Google Cloud Machine Learning Engine enters general availability.
• January 16, 2018 - Google announced it would add five new Cloud Platform regions, in The Netherlands, Montreal, Los Angeles, Hong Kong and Finland.

Source of the article : Wikipedia