jay-johnson/deploy-to-kubernetes
Deploy a distributed AI stack to a multi-host or single-host Kubernetes cluster on CentOS 7 and also works on AWS - and comes with: cert-manager + redis-cluster + rook-ceph for persistent storage + minio s3 object store + splunk + optional external dns server + affinity examples - validated with K8 version 1.13.4 :hammer: :wrench: :cloud:
This project helps operations engineers and IT professionals quickly set up a robust Kubernetes cluster on CentOS 7, capable of hosting distributed AI applications. It takes CentOS 7 servers (physical or virtual, single or multi-host) as input and provides a fully configured Kubernetes environment with essential services like persistent storage, object storage, databases, and an optional logging solution. The output is a secure, scalable platform ready to deploy multi-tenant AI services, such as those used for training deep neural networks and serving real-time predictions.
No commits in the last 6 months. Available on PyPI.
Use this if you need to rapidly provision a secure, scalable Kubernetes infrastructure on CentOS 7 to host distributed AI applications and their supporting services like databases and object storage.
Not ideal if your organization primarily uses Ubuntu for production Kubernetes, prefers managed cloud Kubernetes services, or does not require a complex distributed AI stack.
Stars
83
Forks
28
Language
Shell
License
Apache-2.0
Category
Last pushed
Mar 12, 2019
Commits (30d)
0
Dependencies
15
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