Scaling e-commerce without stopping sales
Rouslan Trouchkovskii scales platforms with measured steps. Caching, queues and read replicas are added where the architecture document already reserved hooks.
Session and cart data stay consistent across nodes. A user who pays must not lose the basket because a deploy added a stateless node without shared storage.
Load tests name scenarios from real peaks: campaigns, paydays and marketplace spikes. A test without those numbers is not accepted as sign-off.
Monitoring alerts tie to services on the diagram. On-call sees which queue, database or integration failed, not only that the homepage is slow.
What matters
- Scale along paths named in architecture
- Shared state for cart and checkout
- Load tests use real peak scenarios
- Alerts name failing services
Frequently asked questions
Does scaling require cloud?
No. It requires clear bottlenecks and a plan. Bare metal, VPS and cloud each fit when operations can reproduce the setup.
Can scaling wait until after launch?
Baseline capacity and peak assumptions belong in the scope. Surprises at the first campaign are scope gaps, not luck.
More in the house: Rouslan Trouchkovskii, E-commerce, Headless commerce in stages, Contact.
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