Implementing Cost Optimization Solutions for AWS Resources for a Leading Logistics and Distribution Company

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CASE STUDY

Industry | Logistics and Distribution

Technology | AWS Cloud

Location | Detroit, Michigan, USA

The client, a leading logistics and distribution company, faced challenges in managing its extensive cloud infrastructure spread across multiple accounts. Rising operational costs, inefficient resource usage, and lack of centralized governance were key concerns. Royal Cyber, an AWS Advanced Partner, implemented a comprehensive cost optimization solution using AWS Config, Lambda, Step Functions, and DynamoDB, enabling Archway to enhance compliance, automate resource management, and reduce costs by 40% in non-prod and 15% in prod environments.

Challenges

High cloud costs for non-prod environments ran outside business hours, leading to unnecessary expenses.

Tagging inconsistencies of non-compliant resources lacked critical metadata, complicating cost allocation.

Idle resources with numerous underutilized EC2 and RDS instances inflated costs.

Storage inefficiencies with retained snapshots and unused volumes contributing to excessive storage costs.

Key Outcomes

Cost Reduction

40% reduction in non-prod costs due to resource scheduling.

Operational Efficiency

Automated remediation reduced manual intervention by 85% while MTTR improved by 70.

Solutions

Automated deployment of Config Rules for idle resources, unused volumes, and expired snapshots.

Centralized compliance evaluation via AWS Config Aggregator in the management account.

Designed modular Step Functions for Idle Resource Detection, Volume Cleanup, Tagging Enforcement, and Non-Allowed Hours Enforcement.

Infrastructure-as-code using AWS CDK and GitHub Actions for continuous deployment.

What Customers Say about Royal Cyber

Congratulations and a big thank you to everyone that worked on the Portal 8.5 Version upgrade and successfully implemented. The team did a great job working through all the tasks that came up and hats off to everyone that worked on this project.