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🚀 Project Walkthrough: Real-Time Data Pipeline from AWS to Splunk
In this video, I’ll walk you through a real-world AWS cloud project that simulates how a global telecom provider (TELEMAX) could manage real-time telemetry data using AWS services—and route it into Splunk for observability.
🔍 What You'll Learn:
• How to ingest real-time data using Amazon Kinesis
• How to process and transform that data with AWS Lambda
• How to store the transformed data using Amazon DynamoDB
• How to forward logs into Splunk using ngrok and HTTP Event Collector (HEC)
🧪 Technologies Used:
• AWS Kinesis Data Streams
• AWS Lambda (Python-based)
• Amazon DynamoDB
• Splunk (local) with HEC enabled
• Ngrok for secure tunneling to local systems
• Python boto3 for testing and pushing events
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💡 Use Case:
TELEMAX is a fictional telecom company working to expand infrastructure in underserved areas. They require real-time data processing and visibility to optimize deployments and troubleshoot issues as they arise. This project solves that problem using a modular, scalable AWS-based solution.
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📁 Coming Soon:
✅ GitHub repository with all source code
✅ PDF/README documentation
✅ Architecture diagram
✅ Splunk test logs and screenshots
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👨‍💻 About Me:
I’m James King, an aspiring AWS Solutions Architect and cybersecurity enthusiast. I use this channel to showcase practical, hands-on projects that demonstrate how cloud technologies can solve real-world problems.
📣 Let’s Connect:
🔗 LinkedIn:   / cloudopscentral  
🔗 GitHub: https://github.com/CloudOpsCentral/AW...

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