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Meeting Jan 18th 2022
Nirav Raje edited this page Feb 8, 2022
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Possibilities in user interface and minimum requirement expectation for assignment.
Time estimation for different approaches.
Possible visualization
Exploring data sources and available documentations :
NOAA:
https://www.ncei.noaa.gov/access/cloud-access
Explored different data sources like AWS S3, Google cloud storage
Registry and GitHub repository:
https://registry.opendata.aws/noaa-nexrad/
https://github.com/awslabs/open-data-docs/tree/main/docs/noaa/noaa-nexrad
Checked different available data sources and their documentation
Python modules to read and visualize data:
Ran Jupiter notebook examples in documentation to read radar data and visualize different attributes.
Discussed different possible microservices and skills sets needed for it.
- Testing Overview
- Load Testing
- Overall System Load Testing
- Spike Testing
- Fault Tolerance Testing
- Conclusion & Future Improvements
- Data Assimilation
- Architecture Improvements: Message Queues, Caching and Polling
- CI/CD and Infrastructure Deployment
- Visualization
- Custos Deployment Status
- Rancher Setup
- Kubernetes Cluster Deployment using Rancher
- Setting cert-manager, keycloak, consul, vault and MySQL
- Custos Deployment
- JMeter Testing for Custos Deployment with Python SDK
- Custos - Suggested Improvements