New Delhi -°C
Today in New Delhi, India

Mar 30, 2020-Monday
-°C

Humidity
-

Wind
-

Select city

Metro cities - Delhi, Mumbai, Chennai, Kolkata

Other cities - Noida, Gurgaon, Bengaluru, Hyderabad, Bhopal , Chandigarh , Dehradun, Indore, Jaipur, Lucknow, Patna, Ranchi

ADVERTISEMENT
Home / Tech / Twitter collaborates with Google Cloud to move some infrastructure to its platform

Twitter collaborates with Google Cloud to move some infrastructure to its platform

As part of the collaboration, Twitter will move cold data storage and its flexible compute Hadoop cluster to Google Cloud.

tech Updated: May 04, 2018 14:01 IST
Indo Asian News Service
Indo Asian News Service
Indo Asian News Service
Google Cloud Platform will provide Twitter with the technical flexibility and consistency that its platform requires.
Google Cloud Platform will provide Twitter with the technical flexibility and consistency that its platform requires.(REUTERS)

Twitter will move some of its core infrastructure to Googles Cloud Platform for better data management, the company has announced.

“We are excited to announce that we are working with Google Cloud to move cold data storage and our flexible compute Hadoop clusters to Google Cloud Platform,” Parag Agrawal, Chief Technology Officer at Twitter, said in a blog post on Thursday.

“This will enable us to enhance the experience and productivity of our engineering teams working with our data platform,” he added.

Hadoop from Apache is an open-source software for organising Big Data.

The Hadoop compute system is the core of Twitter’s data platform, and the company runs multiple large Hadoop clusters that are among the biggest in the world.

“In fact, our Hadoop file systems host more than 300PB of data across tens of thousands of servers,” Agrawal said.

Google Cloud Platform’s data solutions and trusted infrastructure will provide Twitter with the technical flexibility and consistency that its platform requires.

The migration, when complete, will enable faster capacity provisioning, increased flexibility, access to a broader ecosystem of tools and services and improvements to security.

“Architecturally, we will also be able to separate compute and storage for this class of Hadoop workloads, which has a number of long-term scaling and operational benefits,” the post read.