Versions Compared

Version Old Version 2 New Version Current
Changes made by

Xiaoming Wang

Hugo Watanuki

Saved on

Key

  • This line was added.
  • This line was removed.
  • Formatting was changed.


Find out about the This project was completed during the 2020 HPCC Systems Summer Internship Program.The project proposal application period for 2020 summer internships is now closed. Check back in the Fall for details about applying to join our 2021 program.Intern Program by Jefferson Mao, Lambert High School, Suwanee, GA, USA.

Resources Available to Learn More about this completed project:

Project Description

HPCC Systems Platform 7.8+ is able to be deployed on local Kubernetes and Azure Kubernetes Service (AKS)  using "azurefile" as a out of box solution. We will add AWS EKS with EFS soon. Google Cloud is another major Cloud provider and we want to make HPCC System Platform can deployed on Google Kubernetes Engine (GKE) as well. We have some developers doing some initial work in this area (create a NFS pod and storage class, for example). Depends on their progress this intern program continue the work or make some improvements.  This project will cover Pod cover

1) Testing HPCCSystems Cluster   2) Pod Horizontal Autoscaler , Pod Vertical  Autoscaler and GKE Node Autoscaler. We also hope the student can explore  Google Cloud Run and Anthos 3) Explore Anthos support with HPCC Systems Platform Cluster on GKE.If you are interested in this project, please contact Add email link to mentor..

HPCC Systems Cloud on Google Kubernetes Engine (GKE) initial work: nfs.yaml and values-for-gke.yaml

Reference following blogs for how to use these two files.

Completion of this project involveinvolved

1) Deploy HPCC Systems Platform 7.8+ Cluster on GKE

...

3) Optional support Pod Vertical Scaling and GKE node scaling

4) Explore and if possible provide supports of Cloud Run  Explore an initial support of Anthos for HPCC Systems Cluster

5) Explore and if possible provide initial support supports of Anthos Cloud Run for HPCC Systems Cluster

What must be completed to pass the evaluation and continue on  to complete the project>

Mentor

Xiaoming Wang
xiaoming.wang@lexisnexis.com

Backup Mentor: Godson Fortil
fortil.godson@lexisnexis.com

Skills needed

  • Ability to build and test the HPCC system (guidance will be provided).

  • LInux , Bash and maybe Python

  • Knowledge of Kubernetes, Docker Containers

  • Knowledge of Google Cloud

Deliverables

Midterm

  • Deploy HPCC System Cluster on GKE and test HPCCSystems Platform

  • Test with Horizontal

scaling Optional: Verical scaling

  • scaling  and optional verical scaling and GEK Node autoscaler 

End of project

  • Deploy HPCC System Cluster on GKE with supports of various scaling

  • Provide solution or research result for

cloud run and Anthos

  • Anthos  and optional Cloud Run support

Other resources