Building a Scalable Data Science & Machine Learning cloud using Kubernetes DevOps и эксплуатация
Murali Paluru, International Conference Speaker, Principal Software Engineer at Rancher Labs, Inc, started his career in networking in the mid-2000s and after working on various products lines at different companies, he is currently developing solutions involving containers and Kubernetes. Some of his past projects involve enabling secure connectivity between containers as part of multi-cluster federation, implementing network policies, CNI plugins, enhancing network performance and stability. While not hacking stuff using the Go programming language he loves to interact with other developers at meetups, conferences to exchange ideas, share his experiences and lessons learnt along the way.
Learn how to enable Data Scientists to consume the unlimited computing power of the cloud with less complexity, to provide a Scalable Self Service Data Science and Machine Learning platform and to leverage Kubernetes for large scale Data Science workloads.