Description
Online stores face sudden demand spikes during festival sales, flash deals, product launches, and viral campaigns. Traffic can multiply several times within minutes. A fixed on-premises server must be sized for the busiest moment, so it sits mostly idle and is costly the rest of the year. Cloud platforms solve this with elastic, pay-as-you-use capacity. Any practical cloud computing course begins with this principle.
Core Cloud Techniques for Scaling
Auto-scaling: Adds servers automatically as load rises and removes them as it falls.
Load balancing: Distributes visitors across servers so none becomes a bottleneck.
Content delivery networks (CDNs): Serve images, scripts, and pages from locations near the customer, which cuts load time.
Caching: Stores frequently requested data, such as product listings, in memory to reduce database strain.
Managed databases with read replicas: Spread read traffic and keep order data safe.
Queues and asynchronous processing: Handle emails, invoices, and inventory updates without slowing checkout.
Monitoring and alerts: Track latency, error rates, and server health in real time.
