Aspiring Data Engineer / Data Analyst | Skilled in Python, SQL, PowerBI and Cloud (AWS) | Eager to solve real-world problems through data-driven decision-making
My Learning Experience with AWS SNS & SQS Recently, I spent time learning about Amazon SNS (Simple Notification Service) and Amazon SQS (Simple Queue Service), and I want to share my key takeaways A) Amazon SQS (Queue-based Messaging) When I first tried SQS, it felt like a simple yet powerful way to decouple applications. A producer sends a message → SQS stores it safely → one consumer picks it up. What I liked: Messages don’t get lost, and consumers can process them at their own pace. Use case I visualized: Order → Billing → Delivery, each step independent but connected through the queue. B) Amazon SNS (Publish/Subscribe Messaging) Then I explored SNS, and it clicked instantly — it’s like making an announcement . You publish one message → SNS fans it out to multiple subscribers (Email, Lambda, SQS, etc). What I liked: The flexibility to notify many systems at once. Use case I practiced: A new user signup → Notify Email service + Analytics + Logging simultaneously. SQS = Great for point-to-point reliable processing. SNS = Great for broadcasting events to multiple services. The most powerful pattern I learned: SNS + SQS together → reliable, scalable event-driven architecture. -> Learning these services gave me a clearer understanding of how event-driven systems are built in AWS. -> If you’re starting with AWS, I highly recommend practising both — you’ll quickly see how they solve different real-world problems. #AWS #CloudComputing #LearningJourney #SNS #SQS #EventDriven
Fellow at NxtWave’s CCBP 4.0 Academy | Knows Python || SQL || MERN || Full Stack Developer || Looking for internships
2wGreat to see your work 😁