Mulesoft

1. Get your Anypoint platform access token.

2. Fetch logs from CloudHub using the CloudHub API.

1. Create an IAM Role for Lambda.

2. Create a Lambda function.

3. Write the Lambda code to perform the following:

   1. Retrieve an access token from MuleSoft's Anypoint API.

   2. Fetch application logs from MuleSoft CloudHub using the API.

   3. Format the log data and upload it to an AWS S3 bucket.

   4. Run automatically whenever triggered by AWS CloudWatch.
      

      💡Suggested code

      See this example code as a suggestion:
      

      import json
      import requests
      import boto3
      import datetime
      import os
      
      # AWS S3 Configuration
      S3_BUCKET_NAME = "your-mulesoft-logs-bucket"
      
      # MuleSoft API Configuration
      MULESOFT_CLIENT_ID = "YOUR_CLIENT_ID"
      MULESOFT_CLIENT_SECRET = "YOUR_CLIENT_SECRET"
      CLOUDHUB_APP_NAME = "YOUR_APP_NAME"
      ANYPOINT_URL = "https://anypoint.mulesoft.com"
      
      def get_mulesoft_access_token():
          """Retrieve an access token from MuleSoft Anypoint."""
          url = f"{ANYPOINT_URL}/identity/v2/oauth2/token"
          payload = {
              "grant_type": "client_credentials",
              "client_id": MULESOFT_CLIENT_ID,
              "client_secret": MULESOFT_CLIENT_SECRET
          }
          headers = {"Content-Type": "application/x-www-form-urlencoded"}
          
          response = requests.post(url, data=payload, headers=headers)
          response.raise_for_status()
          
          return response.json()["access_token"]
      
      def fetch_mulesoft_logs():
          """Fetch logs from MuleSoft CloudHub API."""
          token = get_mulesoft_access_token()
          url = f"{ANYPOINT_URL}/cloudhub/api/v2/applications/{CLOUDHUB_APP_NAME}/logs"
          headers = {"Authorization": f"Bearer {token}"}
          
          response = requests.get(url, headers=headers)
          response.raise_for_status()
          
          return response.json()["data"]
      
      def upload_logs_to_s3(logs):
          """Upload logs to S3 as a JSON file."""
          s3_client = boto3.client("s3")
          
          timestamp = datetime.datetime.utcnow().strftime("%Y-%m-%d_%H-%M-%S")
          s3_key = f"mule-logs/logs_{timestamp}.json"
          
          log_data = json.dumps(logs, indent=2)
          
          s3_client.put_object(
              Bucket=S3_BUCKET_NAME,
              Key=s3_key,
              Body=log_data,
              ContentType="application/json"
          )
          
          print(f"Logs uploaded to S3: {s3_key}")
      
      def lambda_handler(event, context):
          """Lambda function entry point."""
          logs = fetch_mulesoft_logs()
          upload_logs_to_s3(logs)
          
          return {"statusCode": 200, "body": json.dumps("Logs successfully uploaded to S3")}

4. Deploy the Lambda function.

Create a CloudWatch event rule to ensure logs are sent automatically.