Google Cloud Platform
|Initial release||October 6, 2011|
|Platform||Google App Engine, Google Compute Engine, Google Cloud Datastore, Google Cloud Storage, Google BigQuery,|
|Type||Cloud Storage, Web Development|
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.
A sample of products are listed below, this is not an exhaustive list.
- Google Compute Engine – IaaS providing virtual machines.
- Google Kubernetes Engine – A managed container orchestration service for Kubernetes.
- Google App Engine – PaaS for application hosting.
- Bigtable – IaaS massively scalable NoSQL database.
- BigQuery – SaaS large scale database analytics.
- Google Cloud Machine Learning Engine – Managed machine learning as a service for training and executing TensorFlow models.
- Google Cloud Functions – FaaS providing serverless functions to be triggered by cloud events.
- Google Cloud Datastore – DBaaS providing a document-oriented database.
- 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.
- Google 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.
|Google Cloud Platform||Amazon Web Services||Microsoft Azure|
|Google Compute Engine||Amazon EC2||Azure Virtual Machines|
|Google App Engine||AWS Elastic Beanstalk||Azure Cloud Services|
|Google Kubernetes Engine|
|Google Cloud Bigtable||Amazon DynamoDB||Azure Cosmos DB|
|Google BigQuery||Amazon Redshift||Microsoft Azure SQL Database|
|Google Cloud Functions||Amazon Lambda||Azure Functions|
|Google Cloud Datastore||Amazon DynamoDB||Cosmos DB|
|Google Storage||Amazon S3||Azure Blob Storage|
- 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.
- Amazon Web Services
- Microsoft Azure
- Oracle Cloud Platform
- G Suite
- Infrastructure as a Service
- Platform as a Service
- "Why Google Cloud Platform". cloud.google.com. Retrieved 2014-04-05.
- "Google Cloud Products". cloud.google.com. Retrieved 2017-06-02.
- "Cloud Pub/Sub - Message-Oriented Middleware Google Cloud Platform". Retrieved 2 June 2017.
- "Google Brings Serverless Computing To Its Cloud Platform". Retrieved 2 June 2017.
- "Map AWS services to Google Cloud Platform products". Retrieved 14 April 2017.
- "Map Microsoft Azure services to Google Cloud Platform products". Retrieved 14 April 2017.
- "Introducing Google App Engine + our new blog". Google Developer Blog. 2008-04-07. Retrieved 2014-04-05.
- Kincaid, Jason. "Google To Launch Amazon S3 Competitor 'Google Storage' At I/O". Retrieved 2 June 2016.
- "Introducing the Google Cloud Platform Partner Program: Helping businesses move to the cloud". Google Enterprise Blog. 2012-07-24. Retrieved 2014-04-05.
- "Whoopsie! Google App Engine goes down". GigaOM. 2012-10-26. Retrieved 2014-04-05.
- "Google opens up its BigQuery data analytics service to all". GigaOM. 2012-04-01. Retrieved 2014-04-05.
- "Google Compute Engine is now Generally Available with expanded OS support, transparent maintenance, and lower prices". Google Developers Blog. 2013-12-02. Retrieved 2014-04-05.
- "Google Cloud SQL now Generally Available with an SLA, 500GB databases, and encryption". Google Cloud Platform Blog. 2014-02-11. Retrieved 2014-04-05.
- "Google Cloud Platform Live – Blending IaaS and PaaS, Moore's Law for the cloud". Google Cloud Platform Blog. 2014-03-25. Retrieved 2014-04-05.
- "Bringing together the best of PaaS and IaaS". Google Cloud Platform Blog. 2014-03-27. Retrieved 2014-04-05.
- "Google has quietly launched its answer to AWS Lambda".
- "Google Cloud Dataproc managed Spark and Hadoop service now GA".
- "Google Cloud Machine Learning family grows with new API, editions and pricing". Google Cloud Platform Blog. Retrieved 2018-01-04.
- "Release Notes | Cloud Machine Learning Engine (Cloud ML Engine) | Google Cloud Platform". Google Cloud Platform. Retrieved 2018-01-04.
- Krishna, Swapna (January 16, 2018). "Google's cloud is spreading through new undersea cables". engadget.
Today, Google announced that it will be adding three undersea cables, as well as five new Cloud Platform regions, to its infrastructure in 2018. The Netherlands and Montreal regions will open in Q1 2018, while Los Angeles, Hong King and Finland will follow.