ic-secure-data-pipeline-aws

Secure, event-driven AWS data pipeline (S3 + Lambda) demonstrating scalable ingestion and processing aligned to Well-Architected principles

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🧠 Architecture

AWS Data Pipeline Architecture

Diagram illustrates event-driven ingestion and processing workflow using S3 and Lambda.

Event-driven serverless architecture designed for scalable, secure ingestion and processing of mission data.

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⚙️ Tech Stack

• Amazon S3 (data ingestion and storage)
• AWS Lambda (serverless processing)
• AWS IAM (access control)
• Amazon CloudWatch (logging and monitoring)
• AWS CLI (command-line interaction and validation)

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⚙️ How It Works

1. User uploads JSON data to S3 Raw Bucket
2. S3 triggers AWS Lambda via event notification (ObjectCreated)
3. Lambda processes and transforms the data
4. Output is written to S3 Processed Bucket
5. Execution logs are captured in CloudWatch

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🧪 Example

Input

{
  "mission": "space",
  "source": "MASINT",
  "confidence": 0.95
}

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📌 Architecture Design Considerations

This solution is designed using an event-driven serverless architecture aligned to AWS best practices.

• Scalability: Amazon S3 and AWS Lambda enable automatic scaling based on incoming data volume
• Decoupling: S3 event notifications allow loosely coupled ingestion and processing layers
• Separation of concerns: Raw and processed data are stored in separate buckets to maintain data integrity and traceability
• Extensibility: Additional processing steps (e.g., enrichment, analytics) can be added without modifying ingestion logic

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🔐 Security Considerations

• IAM roles enforce least-privilege access between S3 and Lambda
• Data stored in S3 can be encrypted at rest using AWS-managed encryption capabilities
• Access to buckets can be restricted via bucket policies
• Logging via CloudWatch enables auditability and monitoring

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⚖️ Design Tradeoffs

• Lambda vs EC2:
  Lambda provides scalability and low operational overhead, but introduces execution limits and less control over runtime

• Event-driven vs batch processing:
  Event-driven enables real-time processing but adds architectural complexity

• S3 storage tiers:
  Standard storage is used for simplicity, with tradeoffs in cost compared to archival tiers

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🧠 Well-Architected Alignment

This architecture aligns with AWS Well-Architected Framework principles:

• Security: IAM roles, encryption, controlled access
• Reliability: S3 durability and event-driven processing
• Performance Efficiency: Serverless scaling with Lambda
• Cost Optimization: Pay-per-use model
• Operational Excellence: Logging and monitoring via CloudWatch

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📌 Mission Relevance

This architecture reflects common Intelligence Community data ingestion patterns, where event-driven processing enables scalable, auditable, and secure transformation of mission data across distributed systems.

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Last updated: May 2026 – Continuous refinement of architecture and documentation

Developed as part of ongoing AWS technical upskilling and cloud architecture learning.