In the management of its Data Science Platform, Bloomberg has always focused on providing tenants with secure, reliable, and scalable solutions for their machine learning workflows and ETL pipelines. …

Kubernetes support schedule workloads based on CPU and memory resource with node affinity, pod affinity and anti-affinity. This works very well for stateless workloads. For stateful workloads, especia …

Machine learning is typically viewed as simply training a model on data. However, the last mile of deploying models to production systems is often overlooked and yet is one of the most critical aspe …

Kubernetes not only becomes predominant in public cloud area these days, but also becomes a new trend in on-premises big data cluster environment, as an alternative of Hadoop YARN, a resource schedule …