As companies go multi-cloud, a new set of tools simplify IT management and application development. By Ben Lorica and Ion Stoica. [This post originally appeared on the Anyscale blog.] In a previous post we examined current serverless computing offerings and described why Ray is an ideal substrate for general purpose computing platforms. While serverless hasContinue reading “The Emergence of Multi-cloud Native Applications and Platforms”
Tag Archives: cloud computing
The Ideal Foundation for a General Purpose Serverless Platform
Why Ray is poised to play a central role in future serverless offerings. By Ben Lorica, Eric Liang and Ion Stoica.
One Simple Chart: the number of cloud native developers worldwide
I recently came across a developer survey (The State of Cloud Native Development) from the Cloud Native Computing Foundation (CNCF) and /Data, focused on estimating the number of cloud native developers worldwide. CNCF defines cloud native technologies as follows: Cloud native technologies empower organizations to build and run scalable applications in modern, dynamic environments such as public,Continue reading “One Simple Chart: the number of cloud native developers worldwide”
One Simple Chart: Technology Adoption in the U.S.
I just came across a new paper that analyzes results from the 2018 Annual Business Survey, a study conducted by the US Census Bureau in partnership with the National Center for Science and Engineering Statistics. This survey was conducted over the second of half of 2018, and while the data is over a year old,Continue reading “One Simple Chart: Technology Adoption in the U.S.”
Deep learning that’s easy to implement and easy to scale
[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Anima Anandkumar on MXNet, tensor computations and deep learning, and techniques for scaling algorithms. Subscribe to the O’Reilly Data Show Podcast to explore the opportunities and techniques driving big data, data science, and AI. Find us on Stitcher, TuneIn, iTunes,Continue reading “Deep learning that’s easy to implement and easy to scale”
Architecting big data applications in the cloud
The O’Reilly Data Show podcast: Jai Ranganathan on the Hadoop ecosystem, the recent surge in interest in all things real time, and developments in hardware. [This piece was co-written by Shannon Cutt. A version of this post appears on the O’Reilly Radar.] Subscribe to the O’Reilly Data Show Podcast to explore the opportunities andContinue reading “Architecting big data applications in the cloud”
Financial analytics as a service
[A version of this post appears on the O’Reilly Strata blog.] In relatively short order Amazon’s internal computing services has become the world’s most successful cloud computing platform. Conceived in 2003 and launched in 2006, AWS grew quickly and is now the largest web hosting company in the world. With the recent addition of KinesisContinue reading “Financial analytics as a service”