Use AWS's Kinesis service to find the optimal time to go Paragliding! We will be using weather data provided by NOAA with a provided event streamer.

The following tools and accounts are required to complete these instructions.

• Sign-up for an AWS account
• Install AWS CLI
• NodeJs
• Install .NET Core 2.1

• Create a Kinesis stream in the AWS console (make sure the Region is set to US-East-1)
  • Search for Kinesis in the services dropdown
  • Click Create data steam under the Kinesis data streams section on the Amazon Kinesis Dashboard
  • Give it a name and 1 shard
• Clone this repo to get the data streamer application on your machine
• Update kinesis key name in src/WeatherStationsEvents/appsettings.json to match the name you just gave to your stream

Goal - Create a lambda function to capture the streaming data from the Kinesis stream you just set up.

• Here is a ready to go NodeJs 6.10 lambda function for reading a Kinesis Stream. Make the lambda function output the data to CloudWatch Logs

exports.handler = (event, context, callback) => {
    
    for (let i = 0; i < event.Records.length; i++) {
      const eventRecord = JSON.parse(Buffer.from(event.Records[i].kinesis.data, 'base64'));
      console.log(eventRecord); 
    }
    
    callback(null, "Hello from Lambda");
};

Goal - Find the best time to go fly at Torrey Pines Gliderport. Analyze the streaming data and determine if the weather is good for paragliding.

• Conditions - If the conditions at Torrey Pines satisfy these, then it's good to fly!
  • Less than 80% humidity
  • Wind direction 230 to 290 degrees
  • Wind speed 6 to 12 knots
  • Gusts below 20 knots
• Trigger a message to CloudWatch logs to inform when conditions are good to fly
• Integrate AWS SNS to SMS service to send a notification to yourself
• Helpful docs
  • https://docs.aws.amazon.com/sns/latest/dg/SubscribeTopic.html
  • https://docs.aws.amazon.com/sdk-for-javascript/v2/developer-guide/sns-examples-publishing-messages.html

Goal - Use Kinesis Data Analytics to add a lambda function for pre-processing records.

• Replace NA with values of zero on field barometricPressure
• Hook up the output of the pre processing to your original lambda function

Goal - Find the best time to go fly at more than one location.

• Use this website to determine the best conditions at another location or locations
  • https://www.sdhgpa.com/sites-guide.html
  • Choose one (or more) of the 5 sites under 'Primary Sites'
  • Look at the description of the site and find the recommended flying conditions at that site
• Update your lambda function to check the streaming data for flying conditions at multiple sites
• Update the function to:
  • Only send one notification per site per day
  • Only notify during daylight hours - 9 AM to 6 PM

• Within the Kinesis Data Analytics Application you created for step 3 use the SQL editor to perform real time analytics on the data
• Create a new SQL query using the templated SQL examples. Use the source data as a guide
• Attach the resulting stream of the real time analytics to your original lambda function