README.md

Team: SuperNova

Applied Distributed Systems: Spring 2022 Project

Course Objectives:

• Provide a high level, broad understanding of the application of core distributed computing systems concepts and apply them to build “Software as a Service” systems.
• Study both abstract concepts and practical techniques for building Cloud-Native Distributed Systems.
• Provide hands-on experience in developing scalable application stacks while working with open source philosophies modeled after Apache Software Foundation.
• Apply the general concepts of Distributed Systems to understanding the state of the art in “real world” systems.

Course Project:

1. Weather Data Process & Analysis:

   • Design distributed system which will process realtime data produces by weather data collecting system.
   • Analysize the process data and generate visualization for weather reflectivity.
   • Data is feeded from NexRAD Airport Weather Radar & NASA MERRA-2 Weather Sattelite Data.
   • Project Phase:
     • Design MVP microservice-based system to process & visualize data from NexRAD dataset.
     • Containerized services using docker & setup deployment pipeline using jenkins.
     • Orchestration using kubernetes to make system scalable, reliable & fault tolerant.
     • System reliability & Stress testing using JMeter.
     • Integration on new service to handle MERRA-2 NASA satellite Data.
     • Recalibirate system again by reliability & Stress testing.

2. Custos Science Gateway Identity Management - Case Study

   • Did a case study analysis of Apache Airavata built CUSTOS project.
   • CUSTOS built using CILogon, LDAP and Active Directory.
   • Did system analysis of 7 core features like identity, access, profile,resource secret, group and sharing management.
   • Project consists of 14 different microservices, we build and test deployment of each service on a cloud environment.
   • Did a 15 different stress test on the CUSTOS system and documented the result to analyze the robustness of the system.

Developers

1. Sanket Darwante
2. Sumedh Salvi
3. Richa Jha

Technology Stack

• Front End: Angular
• API Gateway: Node.js, Express.js
• Cache Service: Node.js, Express.js, Redis, Kafka
• NexRAD Service - FastAPI, NexDraw, Pyart, Kafka
• Merra-2 Service: FastAPI, NexDraw, Pyart, BaseMAP, xarray, Kafka
• User and Session Management: Spring Boot (Java), MySQL
• Scalability Testing: Apache JMeter, Metrics Server, Prometheus, Grafana
• Containerization: Docker
• Orchestration: Kubernetes
• CI/CD: Jenkins

Project 1 Phases:

Project Setup Guide

• Project Setup Instructions

Functional Specification

• A Complete Guide For User

Phase 2:

• Demo App: http://weatherapp.twilightparadox.com:30000
• CI/CD Jenkin: http://149.165.154.149:8080/job/ADS/
• jetstream instance: supernova_weather_app_instance

Phase 3: Scalability Report

• Weather Radar Scalability Testing

Phase 4: MERRA-2 Service Integration

• Architectural Optimization
• MERRA-2 Service Architecture

Project 2: Custos Case Study

Branch Distribution

Release Branch:

• Project-1: main-project1
• Project-2: main-project2
• Project-3:
  • User Interface: rel-ui-angular-phase3
    
  • Gateway API: rel-gateway-api-phase3
    
  • Cache Microservice: rel-ms-weather-cache-phase3
    
  • Weather API Microservice: rel-ms-weather-api-phase3
    
  • User API Microservice: rel-ms-user-api-phase3
    
  • MERRA API Microservice: rel-ms-merra-api-phase3

Dev Branches:

• User Interface: dev-ui-angular
  
• Gateway API: dev-gateway-api
  
• Cache Microservice: dev-ms-weather-cache
  
• Weather API Microservice: dev-ms-weather-api
  
• User API Microservice: dev-ms-user-api
  
• Merra-2 API Microservice: dev-ms-merra-api

Napkin Diagram

Architecture Diagram