Applications are proliferating, cloud complexity is exploding, and Kubernetes is prevailing as the foundation for application deployment in the cloud. That sounds like an optimization task ripe for machine learning, and StormForge is acting up on that.
Latest from George Anadiotis
MinIO, the de facto open source standard for multi-cloud storage, took an early bet in the cloud. The bet is paying off.
Google will give open-source data vendors that offer their software on Google Cloud a share of the proceeds. It's a good move, and a good thing. But there's more than meets the eye here.
Acquiring data Artisans, the vendor leading development of open source Apache Flink framework for real-time data processing, is the latest move from Alibaba. Where does this fit in Alibaba's strategy to grow its cloud?
Software development has been fundamentally changing. It's following the data and going to the cloud. What should organizations be aware of to make the most of it?
There's a reason why every major cloud provider is backing its own machine learning framework. What's that and how do you get to choose?
What does it take to compete in a global arena in which retail and cloud are increasingly intertwined? Domain-specific data science and machine learning for the masses, according to Alibaba.