Optimizing e-commerce infrastructure for peak season
A reference deployment model for an online business that needs to handle campaign-driven traffic growth while controlling costs.
Challenge
Campaign-driven traffic spikes made the previous infrastructure difficult to predict, prone to resource bottlenecks and dependent on manual scaling.
Solution
- Separate the web application, database and storage layers to reduce bottlenecks.
- Standardize VM configurations by workload instead of placing everything on one server cluster.
- Use separate storage for assets and backups to reduce pressure on the application layer.
Outcomes
- Make resource planning more predictable during peak season.
- Reduce manual work when traffic increases sharply.
- Create a better foundation for campaign-level cost optimization.