Integrating the MapR Data Fabric into Kubernetes environments addresses the data portability challenge and complexity with elasticity and automation. Would be interested to learn who are deploying Kubernetes in their container environment right now?
Hi Csaba Kollar,
Noticed that you are implementing kubernetes right now in the other thread. Please join this discussion to share your learning and experience.
For others who are thinking of implementing kubernetes, recommend to check out dong meng's blog: Deploy Distributed Deep Learning QSS on MapR GPU Cluster, Part 1 | MapR
According to this article https://www.datanami.com/2018/03/06/inside-maprs-support-kubernetes/
"MapR has four customers who are running the Kubernetes volume driver and are nearing production. The customers include: a telecommunications firm that’s looking to better utilize their information flows in a real-time application.
There’s a medical equipment manufacturer that’s using Kubernetes in MapR to coordinate edge processing with cloud and on-premise compute resources. And MapR also has an insurance company that’s looking to use containers to maintain selective data access in a multi-tenant environment."
For people who are looking for kubernetes tutorials, check out:
Kubernetes Tutorial: How to Install and Deploy Applications at Scale on K8s - Part 1 of 3 | MapR
Kubernetes Tutorial: How to Install and Deploy Applications at Scale on K8s - Part 2 of 3 | MapR
Kubernetes Tutorial: How to Install and Deploy Applications at Scale on K8s - Part 3 of 3 | MapR
You might be interested in the slides of may talk at the 2018 Big Data Tech in Minneapolis: Modern big data and machine learning in the era of cloud, docker and …
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