The Table Company
Optimized AWS Infrastructure to Reduce Monthly Cloud Costs by 90%
90%
Lower AWS Cost
70%
Faster Deployment
60%
Faster Loading
150%
Sales Growth
Handcrafted solid hardwood tables, personalized service, and transparent pricing define The Table Company’s furniture business. Its Magento eCommerce platform supports customers looking for durable, made-to-order furniture across the United States.
Country
USA
Duration
2 months
Industry
Furniture eCommerce
Services
Project Discovery Cloud Infrastructure Analysis Architecture Documentation AWS Cost Optimization DevOps Engineering Performance Optimization
Technologies
Magento 2 PHP AWS Cloud MySQL Nginx Varnish
Problem Statement
Monthly AWS expenses had reached approximately $4,000 despite persistent website performance and server responsiveness issues. The company needed complete infrastructure visibility, better resource utilization, faster releases, and a substantial reduction in recurring cloud costs.
Challenges
- Understanding an undocumented AWS environment built and managed by previous vendors.
- Identifying the resources responsible for unusually high monthly cloud billing.
- Correcting infrastructure that was over-provisioned by up to 60%.
- Resolving complex code logic that consumed unnecessary server resources.
- Introducing source control to track code changes, contributors, and releases.
- Improving page speed without disrupting the active eCommerce store.
Solution
- With no infrastructure diagrams or technical documentation available, Bytes Technolab reviewed each component within the AWS environment. Traffic patterns, deployed services, resource consumption, server behavior, and recurring expenses were analyzed to establish an accurate view of the existing architecture.
- The assessment revealed that several resources were significantly over-provisioned. Capacity was reduced gradually, beginning with an initial 25% adjustment followed by close monitoring. Additional resources were then resized in phases to lower costs without affecting platform availability.
- Unused Elastic IP addresses and other unnecessary cloud resources were identified and released. The development team also simplified inefficient code logic that had been driving excessive resource consumption and contributing to server unresponsiveness.
- Varnish caching was introduced to reduce application latency and improve page delivery. A Git-based version control system was also implemented to record code changes, timestamps, logs, and contributors, creating greater control over development and release management.
- The improved DevOps setup supported faster module development and more dependable deployments. Architecture documentation was prepared to give the client ongoing visibility into the optimized cloud environment and reduce future infrastructure uncertainty.
Result
The Table Company gained a leaner and better-documented AWS environment that delivered lower costs, faster performance, and improved control over platform development.
- 90% reduction in AWS costs lowered monthly cloud billing from $3,916.75 to approximately $396 within two months.
- 70% faster deployments were supported by improved DevOps processes and structured source code management.
- 60% faster page loading resulted from caching, resource optimization, and simplified application logic.
- 150% growth in sales was supported by a faster and more dependable Magento commerce experience.
Reduced monthly AWS billing from $3,916.75 to approximately $396 within two months.
Corrected 60% resource over-provisioning through phased cloud optimization.