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🚀 Mastering Lambda

emini

Real-World AWS Lambda Projects | Production-Grade | Event-Driven Architecture

Mastering Lambda is a hands-on repository focused on building real-world, production-ready AWS Lambda projects.

This is not theory, not toy examples, and not copy-paste demos. Every project here solves a real cloud problem using event-driven serverless design, exactly how it’s done in real companies.


📌 What This Repository Is About

This repository contains 10 end-to-end AWS Lambda projects (6 completed + 4 upcoming) that cover:

  • Security automation
  • Disaster recovery & failover
  • Log processing & data masking
  • Event-driven workflows
  • AI-powered media pipelines
  • Streaming & real-time processing

Each project is:

  • ✅ Built step-by-step
  • ✅ Event-driven (SNS, EventBridge, S3, CloudWatch, Kinesis, Step Functions)
  • ✅ Focused on real production use-cases
  • ✅ Designed with least-privilege IAM and best practices

🧠 Projects Included

🔐 1. IAM Access Key Auto-Rotation & Deletion

Automates detection and cleanup of exposed IAM access keys using SNS, EventBridge, and Lambda.

Highlights

  • Detect leaked access keys
  • Notify via email
  • Automatically delete keys more than 90days

🛡️ 2. GuardDuty Automated Quarantine

Automatically isolates compromised EC2 instances when GuardDuty raises a finding.

Highlights

  • GuardDuty → EventBridge → Lambda
  • Applies quarantine security group
  • Zero manual intervention

🌍 3. Multi-Region Disaster Recovery with Route53

Implements automatic DNS failover using Route53 health checks and Lambda.

Highlights

  • Primary & DR regions
  • Health-based failover
  • SNS-driven Lambda execution

🧹 4. API Log Scrubber (PII Masking)

Cleans sensitive data from application logs before storing them securely in S3.

Highlights

  • Masks emails, phone numbers, credit cards
  • CloudWatch Logs → Lambda → S3
  • Compliance-friendly logging

⚡ 5. Real-Time Fraud Detection with Kinesis

Processes streaming transactions in real time and stores suspicious activity in DynamoDB.

Highlights

  • Kinesis stream trigger
  • DynamoDB persistence
  • Near real-time processing

🎬 6. AI-Powered Media Processing Pipeline

A complete serverless media factory using multiple AWS AI services.

Highlights

  • S3 → Step Functions → Lambda
  • Video analysis, transcription, metadata storage
  • SNS notifications on completion

🚧 Upcoming Projects (In Progress)

  • 🔄 Advanced Lambda Retry & DLQ Handling
  • 🔐 Secrets & Config Management at Scale
  • 📊 Cost-Optimized Serverless Analytics
  • 🧠 GenAI + Lambda (Bedrock-based workflows)

⭐ Total Target: 10 Production-Grade Lambda Projects


🛠️ Tech Stack Used

  • AWS Lambda
  • Amazon EventBridge
  • Amazon SNS
  • Amazon S3
  • Amazon DynamoDB
  • Amazon Kinesis
  • AWS Step Functions
  • Amazon GuardDuty
  • Amazon Route53
  • AWS AI Services (Rekognition, Transcribe, Bedrock)

🧩 Design Principles Followed

  • Least-Privilege IAM
  • Event-Driven Architecture
  • Fault Tolerance
  • Multi-Region Awareness
  • Clean Separation of Responsibilities
  • Production-ready structure

👨‍💻 Who This Is For

  • Cloud & DevOps Engineers
  • AWS Lambda Beginners → Advanced
  • Serverless Architects
  • Anyone tired of “hello-world Lambda demos”

If you’re serious about mastering AWS Lambda in real-world scenarios, this repository is built exactly for that purpose.

Learn less theory. Build more real systems.

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This repo contains all the documents related to lambda series

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