ankursoni Goto Github PK
Name: Ankur Soni
Type: User
Company: @ai-hospital-services @remember-to-remember
Twitter: ankursoniji
Location: Melbourne, Australia
Name: Ankur Soni
Type: User
Company: @ai-hospital-services @remember-to-remember
Twitter: ankursoniji
Location: Melbourne, Australia
This project helps serve as a boilerplate / template for a typical application running on Kubernetes which has been setup with: AWS EKS cluster, AWS RDS DB Instance (MySQL) for database, AWS S3 for storage, AWS Secrets Manager for secrets, AWS Application Load Balancer for load balancing, AWS CloudWatch for monitoring, AWS Route 53 for DNS and, VPC
'Fortosi' Kubernetes extension is meant to address a fundamental requirement of any project team running their applications on Kubernetes - which is to quickly provision CI/CD pipelines (on demand) for their various private/public GitHub projects/organisation using simple kubectl commands. Basically, implementing the concept of No Ops. It is agnostic of cloud platform, be it AWS (EKS) or Azure (AKS), and agnostic of application technology framework.
'Roiergasias' kubernetes operator is meant to address a fundamental requirement of any data science / machine learning project running their pipelines on Kubernetes - which is to quickly provision a declarative data pipeline (on demand) for their various project needs using simple kubectl commands. Basically, implementing the concept of No Ops. The fundamental principle is to utilise best of docker, kubernetes and programming language features to run a workflow with minimal workflow definition syntax. It is a Go based workflow running on command line or Kubernetes with the help of a custom operator for a quick and automated data pipeline for your machine learning projects (a flavor of MLOps).
Bootstrap Kubernetes the hard way on Azure. With semi automated and fully automated provisioning scripts.
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