Saved 90% on Monthly AWS Billing for a Furniture Retailer via Cloud Optimization & DevOps

• The ever-increasing load and traffic on the website were causing performance issues and poor customer experience.
• Many loopholes in the old cloud architecture built on AWS surge the monthly AWS billing up to approximately USD 4000.
• The client has made upgrading the current store via M1 to M2 migration services a top priority.

Immediate action was inevitable for AWS Cloud optimization and eCommerce web performance upgrading as it affected business.

• No documentation on existing system architecture forced our experts to analyze their legacy system from scratch. The team had to explore and review each component from the deployed infrastructure.
• Cloud infrastructure cost was at its peak due to unnecessary resource deployment and over-provisioning by 60%.
• No mechanism was implemented to track the code changes, as they were anonymous, and it was impossible to track who made them.
• Coding logic was too complicated which caused unnecessary utilization of resources. This resulted in the server being unresponsive and higher AWS costs.

• The reviewing process commenced and continued for a week. Multiple aspects like traffic, and resource utilization across the deployed infrastructure were considered to prepare an action plan.
• Significant findings included the over-provisioning of resources deployed by 60%.
• For AWS cost optimization, the plan was executed, with the initial efforts spent downgrading the deployed resources by around 25% and monitoring the remaining ones for one week. 
• Plan of periodic downgrading of resources and monitoring the system was run by our cloud engineers in phases to reduce the cost and boost the performance.
• It was observed that the system was also facing web application performance issues. To mitigate this challenge, our engineers introduced an advanced caching mechanism.
• There was no source code management implemented. Our experts implemented a version control system to activate the tracking of code changes with every detail needed (Exp.: Timestamps, logs, lines of the code, etc.).

• Within two months, the monthly cost of cloud (AWS) services was reduced from $3916.75 to $396.
• Code logic optimization to ensure efficient resource utilization and ZERO downtime.
• Page load speed remained optimum for users accessing the web app from any part of the world.
• Version control implementation resulted in optimum code quality and enhanced system performance.