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GoDaddy to migrate its workload on AWS Cloud platform

AWS offers over 100 services for compute, storage, databases, networking, AI and ML, virtual and augmented reality (VR and AR), and application development, among others

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GoDaddy shifts workload to AWS Cloud Platform. IANS
  • GoDaddy is a global web-hosting and Cloud company
  • It is migrating its workload to AWS
  • The company will benefit from features like machine learning, analytics, etc.

Global web-hosting and Cloud company GoDaddy is migrating almost all of its workload to Amazon Web Services (AWS) as part of a multi-year transition, AWS announced on Thursday.

GoDaddy will leverage AWS services, including Machine Learning (ML), analytics, databases and containers, to innovate and accelerate the delivery of its products and services to its over 17 million customers worldwide.

Google has collaborated with Coursera and Cisco to improve its Cloud Platform, Pixabay
GoDaddy will benefit from the AWS Cloud Platform. Pixabay

“By operating on AWS, we’ll be able to innovate at the speed and scale we need to deliver powerful new tools that will help our customers run their own ventures and be successful online,” said Charles Beadnall, Chief Technology Officer at GoDaddy.

GoDaddy has been an active adopter of containerised applications and will now leverage AWS’s Amazon Elastic Container Service for Kubernetes (Amazon EKS). This service will allow GoDaddy to run several of its “Kubernetes” workload on AWS without change.

Also Read: Neo-Nazi Site ‘Daily Stormer’ Moves its domain registration to Google After GoDaddy Dumps It

In addition, GoDaddy and AWS are working together to incorporate some of GoDaddy’s domain technology and website building products into the AWS experience to help AWS customers build better online presence.

GoDaddy has more than 75 million domain names under management. “As a large, high-growth business, GoDaddy will be able to leverage AWS to innovate for its customers around the world,” added Mike Clayville, Vice President, Worldwide Commercial Sales at AWS.

The company will take benefits of features like analytics, machine learning, etc. Wikimedia Commons

AWS offers over 100 services for compute, storage, databases, networking, AI and ML, virtual and augmented reality (VR and AR), and application development, among others. IANS

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Now Machine Learning Can Help in Predicting Earthquakes

The techniques can also be used to better identify earthquake aftershocks, volcanic seismic activity, monitor tectonic tremor, locate earthquake's origin and distinguish small earthquakes from other seismic "noise"

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Indian Seismologist succesfully preditcs several earthquakes beforehand by studying data,.
Earthquake prediction enables emergency measures to reduce death and destruction. Pixabay

Besides applications on problems like digital image and speech recognition, machine learning (ML) methods are also used to predict complicated patterns in earthquake activity, say researchers.

It can be used to hone predictions of seismic activity, identify earthquake centres, characterise different types of seismic waves and distinguish seismic activity from other kinds of ground “noise”, according to a team of seismologists.

More seismologists are using the method, driven by “the increasing size of seismic data sets, improvements in computational power, new algorithms and architecture and the availability of easy-to-use open source machine learning frameworks,” said the team, including Karianne Bergen from the Harvard University in the USA, in a paper published in the journal Seismological Research Letters.

los angeles, earthquake, ShakeAlertLa
A mobile phone customer looks at an earthquake warning application on their phone in Los Angeles, Jan. 3, 2019. The app, called ShakeAlertLA, is available for download on Android and Apple phones. VOA

These methods, called deep neural networks, can explore the complex relationships between input data and their predicted output. For instance, one kind of deep neural network can be used to develop ground motion models for natural and induced earthquakes in Oklahoma, Kansas and Texas.

The unusual nature of the growing number of earthquakes caused by petroleum wastewater disposal in the region makes it essential to predict ground motion for future earthquakes and to possibly mitigate their impact, the researchers noted.

Also Read- North Korean Hackers Behind Surge in Cyberattacks on Banks: Report

The techniques can also be used to better identify earthquake aftershocks, volcanic seismic activity, monitor tectonic tremor, locate earthquake’s origin and distinguish small earthquakes from other seismic “noise”, they said. (IANS)