Step-1: Use a static web framework to save costs

Step-2: Run entire website on a single virtual machine for simplicity

Step-3: Split backend & database into separate virtual machines

Step-4: Add more availability zones to improve resilience

Step-5: Use serverless for infrequent workloads

Step-6: Keep a monolith architecture to stay simple

Step-7: Use leader-follower database replication to scale reads

Step-8: Enable autoscaling to handle growth

Step-9: Replicate stateless web servers

Step-10: Cache popular reads to reduce load

Step-11: Use a load balancer to route traffic

Step-12: Store static content in CDN for low latency

Step-13: Set up a 3-tier architecture across separate virtual machines

Step-14: Adopt microservices for scalability

Step-15: Add more availability zones for reliability & scale

Step-16: Add caching between backend & database

Step-17: Introduce containers & kubernetes

Step-18: Federate & partition database

Step-19: Deploy servers across many regions

Step-20: Set up a global load balancer across regions

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