Project K8PetStore: Deploying a data driven app on Kubernetes with autoscaling

Project logistics

• Mentor: Jay Vyas 
• Mentor trello id: jayunit100
• Mentor email: jvyas at redhat dot com
• Min-max team size: 3-5
• Expected project hours per week (per team member): 8-10
• Will the project be open source? Yes.
• Mentor available times: Jay will meet with students on Saturdays, between 10:00 AM - 2:00 PM. Pei will announce office hours.

Preferred past experience

Some experience in one or more of the following is preferred in possible team members:

• Some Docker or virtualization experience
• Some Linux experience: Should understand when you need to use root, ps, top, etc.
• Experience working with JSON or Yaml data.
• Generally: You should have hacked around on a few nontrivial projects.

• Problem

How fast can a kubernetes application on on GCE or OpenStack (preferred) handle 1000, 10,000, 100,000 transactions per second through a message queue?

• benchmark postgreSQL 
• redis.
• benchmark cassandra

Right now, K8PetStore is a Golang Web app which sends transactions sent to a REST endpoint directly to Redis.  We want to anonymize the data sink - i.e. have the app send transactions directly to a message queue.  Then we want to plug different databases into the message queue on the back end.

Some Technologies Expected To Be Learned/Used

• Kafka, 
• BigTop, 
• PostgreSQL, 
• Redis, 
• Cassandra