Follow these steps to create and launch an LAMBDA instance on AWS:

🌍 Step 1: Log in & Open AWS Lambda

🔹 Go to AWS Console and sign in.
🔹 In the Search Bar, type Lambda and click on it.

💡 Step 2: Create a New Lambda Function

🔹 Click Create function (top right).
🔹 Choose Author from scratch ✨.

📝 Step 3: Configure Function Details

🔹 Function Name → Enter a name (e.g., MyFirstLambda).
🔹 Runtime → Choose a language:

• ✅ Python 3.x 🐍 (Easy for scripting & automation)
• ✅ Node.js 🟢 (Great for event-driven apps)
• ✅ Java ☕ (For enterprise apps)
• ✅ Go, C# .NET, Ruby (For specific use cases)

🔹 Execution Role → Select “Create a new role with basic permissions”.
✅ This allows Lambda to access CloudWatch logs.

⚡ Step 4: Write or Upload Your Code

🔹 Scroll down to Code source.
🔹 You can:

• 🖊️ Write code directly in the editor.
• 📂 Upload a .zip file (for larger projects).
• 🔄 Use an S3 bucket to store your code.

🔹 Example Python code:

def lambda_handler(event, context):

    return {

        ‘statusCode’: 200,

        ‘body’: ‘Hello from AWS Lambda! 🚀’

    }

✅ Tip: Click Deploy after editing your code!

🎯 Step 5: Set Up a Trigger (Optional but Useful!)

💡 Want your Lambda to run automatically? Add a trigger!
🔹 Click Add trigger and choose:

• ✅ S3 (Run when a file is uploaded to an S3 bucket)
• ✅ API Gateway (Expose Lambda as a REST API 🌐)
• ✅ CloudWatch (Schedule execution like a cron job ⏳)
• ✅ SNS (Trigger via notifications 📩)

🚀 Step 6: Test Your Lambda Function

🔹 Click Test → Create a new test event.
🔹 Enter sample JSON input:

{

  “message”: “Hello Lambda!”

}

🔹 Click Test → You should see “Hello from AWS Lambda! 🚀” 🎉

🔗 Step 7: Deploy & Monitor Logs

🔹 Click Deploy to save changes.
🔹 Go to Monitor → Check CloudWatch Logs for debugging.