Sunday April 22, 2018
Home Lead Story GoDaddy to mi...

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

0
//
13
GoDaddy shifts workload to AWS Cloud Platform. IANS
Republish
Reprint
  • 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

Click here for reuse options!
Copyright 2018 NewsGram

Next Story

New algorithm may help locate fake Facebook and Twitter accounts

Using the meta-features, the researchers, constructed a generic classifier that can detect fake profiles

0
//
18
Facebook and Twitter fake accounts can now be identified. Pixabay

Scientists have developed a new generic algorithm based on machine-learning to detect fake accounts on social network platforms including Facebook and Twitter, an advance with considerable potential for applications in the cyber-security arena.

“With recent disturbing news about failures to safeguard user privacy, and targeted use of social media to influence elections, rooting out fake users has never been of greater importance,” said lead researcher Dima Kagan from the Ben-Gurion University (BGU) in Israel.

The icon of Facebook.
Facebook has many fake profiles. Pixabay

The study showed that the algorithm is generic, and efficient both in revealing fake users and in disclosing the influential people in social networks. “Overall, the results demonstrated that in a real-life friendship scenario we can detect people who have the strongest friendship ties as well as malicious users, even on Twitter,” the researchers said.

Based on machine-learning algorithms, the new method, detailed in the journal Social Network Analysis and Mining, works on the assumption that fake accounts tend to establish improbable links to other users in the networks.

Also Read: Facebook Rolls Out Fact-Checking News In Karnataka

It constructs a link prediction classifier that can estimate, with high accuracy, the probability of a link existing between two users. It also generates a new set of meta-features based on the features created by the link prediction classifier.

Twitter to soon release Snapchat like feature. VOA
Fake accounts on Twitter will be identifie too. VOA

Using the meta-features, the researchers, constructed a generic classifier that can detect fake profiles in a variety of online social networks. “We tested our algorithm on simulated and real-world data sets on 10 different social networks and it performed well on both,” Kagan said.

Previously, researchers from the BGU had developed the Social Privacy Protector (SPP) to help users evaluate their friends list in seconds to identify which have few or no mutual links and might be “fake” profiles. IANS