30days DevOps-challenge

Project Overview: Weather Fetching

The Weather Fetching is a simple application that fetches real-time weather data for different cities and saves it in an Amazon S3 bucket. It uses the OpenWeather API to get the weather information and AWS S3 to store the data in JSON format for easy access and tracking.

Key Features

1. Get Weather Data:

   • The application gets weather information for different cities (like temperature, humidity, and weather conditions) from the OpenWeather API.

2. Save Weather Data in S3:

   • Once the weather data is fetched, it's saved to an S3 bucket in the cloud. The data is stored in JSON format with a timestamp to keep track of when it was saved.

3. Create S3 Bucket:

   • The app checks if the S3 bucket already exists. If not, it creates a new bucket in the London region (eu-west-2).

4. Environment Variables:

   • The app uses environment variables to store sensitive information like the OpenWeather API key and the S3 bucket name, keeping your credentials secure.

5. Supports Multiple Cities:

   • The app can fetch weather data for multiple cities at once, making it useful for tracking weather in different locations.

Technologies Used

• Python:

  • The app is built using Python and includes:
  • requests to fetch weather data from the OpenWeather API.
  • boto3 to interact with AWS S3 and store the data.
  • dotenv to manage environment variables safely.

• Amazon Web Services (AWS):

  • S3: Used to store the weather data.
  • AWS Region (eu-west-2): The S3 bucket is created in the London (eu-west-2) region.

• OpenWeather API:

  • Provides weather details such as temperature, humidity, and weather conditions.

How It Works

1. Check or Create S3 Bucket:

   • The app checks if the S3 bucket exists. If it doesn't, it creates a new bucket in the London region (eu-west-2).

2. Fetch Weather Data:

   • The app fetches weather data for each city from the OpenWeather API. It gets details like temperature, humidity, and weather description.

3. Save Data to S3:

   • The weather data is saved to the S3 bucket with a timestamp to make each entry unique.

4. Error Handling:

   • If there are any issues with the API request or saving the data to S3, the app logs the error for troubleshooting.

Benefits

• Easy to Scale: You can add more cities or features easily.
• Automated: It fetches and stores weather data automatically, so you don’t need to do it manually.
• Flexible: The app can be configured for different environments using environment variables.

Use Cases

• Weather Tracking: Useful for businesses or individuals who want to track weather data over time.
• Historical Weather Data: The saved weather data can be analyzed to spot trends and changes in weather patterns.
• Integration with Other Apps: This app could be part of a larger service that uses weather data, like a travel app or event planning platform.

Conclusion

Weather fetching is a simple way to track and store weather data from multiple cities in a secure cloud storage. It's easy to set up, reliable and can be used to analyze weather patterns over time.