Build a Real-Time Cold Chain Tracker on AWS (Free Labs)

🧪 Try it yourself in the free lab: https://kode.wiki/3VOb0G8 Serverless AWS pipeline for cold chain monitoring: eight services, zero servers to manage, and every truck reading written to two databases on purpose. A fleet of refrigerated trucks reports its temperature every few seconds. Each reading is validated at the edge, sent through a queue, and written to a DynamoDB hot store and a MySQL cold store on RDS. The moment a reading crosses 5°C, an email goes to a human, long before the truck reaches the dock. The payoff is seeing why one database can't answer both "what's happening now" and "what happened last week," and what the dead letter queue quietly protects you from. 📚 What you'll learn: 1️⃣ Why a DynamoDB table keyed on truck ID stays at five rows forever while MySQL keeps every reading 2️⃣ How SQS with a dead letter queue absorbs bursts and parks a poison message after two failed tries 3️⃣ How IAM roles and Secrets Manager keep every access key and password out of your Lambda code 4️⃣ How one Lambda validates at the edge while the other fans each reading out to DynamoDB, RDS and SNS 🚨 Start Your AWS Journey with KodeKloud: https://kode.wiki/4hoWps3 🧪 Free hands-on lab: https://kode.wiki/3VOb0G8 ⏰ Timestamps: 00:00 - Intro to Cold Chain ETL Pipeline 01:20 - Full Architecture of Cold Chain Tracker on AWS 06:20 - Running the truck simulator 07:39 - Free hands-on lab: 7 mini labs + capstone 📺 Practical System Design Playlist: https://www.youtube.com/watch?v=SE2KF-vxvS0&list=PLPOrzEadD7Ew 🔔 Subscribe for more hands-on AWS projects and practical system design builds #AWS #Serverless #SystemDesign #KodeKloud #AWSLambda #DynamoDB #AmazonSQS #AmazonRDS #AmazonS3 #AmazonSNS #EventDriven #CloudArchitecture #AWSProjects #MySQL #SecretsManager #CloudComputing #DevOps #ColdChain