2021 Projects
- ATCorp
- Adventium Labs
- BCBSND
- BlenderRender
- Bushel
- CHAPS
- CSAIA
- Collins
- Inwerken
- John Deere
- Marvin
- Microsoft
- NAU
- Noridian
- OpenStack
- Pedigree
- Potlatch
- Scheels
- UGPTI
2020 Projects
- Adventium
- Aeritae
- Appareo
- BCBS
- Barginns
- Border States
- Botlink
- Bushel
- Capturis
- Collins
- Inwerken
- John Deere
- Marvin Windows
- Microsoft
- Nau Country
- Noridian
- Openstack
- Pedigree
- Scheels
- TBD(Deakin)
- UGPTI
2019 Projects
- ATC
- Adventium
- Aeritae
- Barginns
- Border States
- Capturis
- Collins
- Deakin
- Fjorge
- ICPE
- Integrity
- Microsoft
- Myriad Mobile
- NDSU CS
- Nau Country
- Noridian
- Omnibyte
- Openstack
- Pedigree
- Scheels
- Software Center
- UGPTI
2018 Projects
- ATC
- Adventium
- Aeritae
- Appareo
- Border States
- Capturis
- ControTech
- Fjorge
- Inwerken
- John Deere
- Microsoft
- NDSU Music
- Next
- Noridian
- OmniByte
- OrbitalATK
- Pedigree
- QBE NAU
- Rockwell Collins
- Software Center
- UGPTI
2017 Projects
- Adventium
- Botlink
- Data61
- Ericsson
- FBS
- Fjorge
- Humach
- IBM
- Integrity
- Intelligent Insights
- Inwerken
- John Deere
- Microsoft
- Mindroad
- Noridian
- Pedigree
- QBE NAU
- Sanford
- UGPTI
- Valley Express
2016 Projects
- ATC
- Adventium
- Bolder Thinking
- Capturis
- Data61
- FBS
- Fjorge
- IBM
- Integrity
- Inwerken
- John Deere
- Linkoping SMHI
- Microsoft
- NDSU IT Dept
- Noridian
- Rockwell Collins
- UGPTI
- Valley Express
2015 Projects
- ATC
- Adventium
- Bolder Thinking
- CNE
- Capturis
- Ericsson
- IBM
- Inwerken
- John Deere
- Microsoft
- NICTA
- Rockwell Collins
- UGPTI
- Valley Express
2014 Projects
- Bolder Thinking
- CNE
- FBS
- IBM
- Inwerken
- John Deere
- Microsoft
- NISC
- Rockwell Collins
- UGPTI
- Valley Express
2013 Projects
2012 Projects
- ATC
- Air Academy
- Bolder Thinking
- Combridge
- Douglas Scientific
- FBS
- IBM
- Microsoft
- NDSU CS (Denton)
- NDSU CS (Kong)
- NDSU CS (Walia)
- NISC
- Phoenix International
- RDO
- Rockwell Collins
- Syntronic
- UGPTI
2011 Projects
IBM: Kubernetes
Project Details
Team Members
- Heather Malmskog
- Carlin Mische
- Michel Thomas
- Franklin Slaby
Problem
- In cloud environments, cluster managers like Kubernetes, Docker Swarm, Apache Mesos, and others are getting a lot of attention.
- These technologies are designed to manage application deployment in large scale environments using container technologies such as LXC and Docker.
- With deployments reaching hundreds/thousands of containers, features like auto-scaling, data replication, and data persistence simplify managing at scale.
- With so many options available, how does an honest, hardworking app developer decide what to use?
- In our project we were tasked with deploying a Kubernetes cluster and validate key cluster management features.
- We also developed an Ansible playbook to automatically deploy our cluster into a cloud environment.
- This was all done to report back to IBM about our experience with the Kubernetes cluster manager as new users.
- If you’re interested in learning more, please check out our suggested readings at https://github.com/Misch-/Kubernetes-Capstone/wiki