This project was developed during the 1st semester of 2022/23 for the Cloud Computing Systems course @ FCT-UNL.
The development involved a first phase where the auction system was developed using Microsoft Azure's Cloud platform resources and a second phase where that system was migrated to a Kubernetes environment.
Note: the system is ready for deployment in kubernetes as is.
Understand how services available in cloud computing platforms can be used for creating applications that are scalable, fast, and highly available.
- Garbage Collection: unaccessible data is regularly collected and disposed of.
- Geo Replication: data is replicated to other regions, delivering the lowest latency possible.
Here you can find how the project is organized. Each of these modules has a README.md where you can find more information.
- scc2022-backend: REST-based application server implemented using Resteasy
- scc2022-functions: serverless code used to implement some functionalities
- Kubernetes: kubernetes scripts to deploy the system in a kubernetes environment.
- Artillery: test scripts to load test the system, can be dockerized and run remotely to test latency in different regions
| Name | University prefix | Github Profile |
|---|---|---|
| Romão Costa | rlm.costa | @romaomcosta98 |
| André Cordeiro | am.cordeiro | @Andre-Cordeiro |
| João Oliveira (me) | jfv.oliveira | . |