v1.0.1

In this project we are trying to learn diffrent technologies from the back-end to the front-end. In this project we don't have a goal in the weather data itself but the most important is to gain some basic knowledge in near-real time data processing.

• Project Components:

  • Kappa Architecture: a data processing architecture that is designed to provide a flexible, fault-tolerant, and scalable architecture for processing large amounts of data in real-time. But in our case we will use it for near-real time because weather data can't be real time also can't be too accurate.

  • Open Weather APIs:

    • Geocoding API: a simple tool that OpenWeather developed to ease the search for locations while working with geographic names. We will use this api to get the lat & lon of the city that the user search for than we will get the weather data of that city.
    • Weather Current Data API: Access current weather data for any location on Earth! OpenWeather collects and process weather data from different sources such as global and local weather models, satellites, radars and a vast network of weather stations. Data is available in JSON, XML, or HTML format.

  • EC2 instance: Amazon Elastic Compute Cloud is a part of Amazon.com's cloud-computing platform, Amazon Web Services, that allows users to rent virtual computers on which to run their own computer applications. We have use it to create a Ubuntu VM to contain our back-end code.

  • AWS GATEWAY API: an AWS service for creating, publishing, maintaining, monitoring, and securing REST, HTTP, and WebSocket APIs at any scale. We used it secure the connection between the VM and the front-end that is deployed over GitHub pages.

  • Angular: a TypeScript-based, free and open-source single-page web application framework. We used it to communicate between our Spring Boot Api and the User Interface.

  • Kafka, Spark and Cassandra: that is the near-real time data processing team :)

  • Dashboard Update: Still working on it. Not supported in the v1.0.1.

Enjoyed developing the app :)