Modern e-commerce platforms must handle massive scale – from flash sales driving sudden traffic spikes to global user bases demanding low-latency experiences. Achieving this reliability and performance at scale requires robust distributed architectures. In this article, I’ll share three case studies of scalable e-commerce architectures that I’ve analyzed and worked with, each leveraging a different tech stack:

• Serverless microservices on AWS – how Amazon’s cloud (Lambda, SQS, DynamoDB, etc.) solved real-world scaling problems for an online retailer.
• Containerized services on Google Cloud – using GCP’s serverless containers (Cloud Run, Firestore, Pub/Sub, BigQuery) for high traffic and maintainability in a retail scenario.
• Open-source cloud-native stack – a Kubernetes, Kafka, Redis, PostgreSQL architecture that scaled a large online retail platform with open source tooling.

Each example will include an architecture diagram, key components (with a table where helpful), the challenges faced, and how the design addressed them – along with deployment and operations insights. As an engineering lead, I’ll also highlight practical takeaways from these architectures. Let’s dive in.