About the Client
The #1 Music Promotion Services is a leading IT product company specializing in services for independent music artists worldwide. By providing platforms to promote their music, the company has become a crucial player in the music promotion industry. With rapid growth and increasing usage, the company faced escalating AWS infrastructure costs. This case study explores how we helped them implement sustainable solutions to optimize their AWS environment and achieve significant cost savings.
Challenges
High Monthly Costs
Monthly AWS costs had peaked at approximately $3.7K, driven by increased traffic and extensive data processing requirements.
Service-Specific Expenditures
- AmazonSNS emerged as the most costly service, consuming 37% of the total expenses.
- Other significant cost drivers included AmazonEC2, AmazonRDS, and AmazonS3.
Inefficient Resource Utilization
Underutilized EC2 instances and inefficient data storage practices contributed to unnecessary expenses.
Traffic Management Issues
Sudden spikes in traffic and data transfer led to unexpected cost increases, especially during the autumn period.
Solutions Implemented
To address these challenges, we implemented a multi-faceted approach focused on optimization, efficient resource management, and cost-saving strategies.
AmazonSNS Optimization
- Usage Audit: Conducted a detailed audit of SNS usage, identifying redundant notifications and opportunities for batching messages.
- Policy Adjustments: Optimized notification policies to reduce frequency and volume, resulting in lower usage charges.
EC2 and RDS Cost Management
- Right-Sizing Instances: Reviewed and adjusted EC2 instance types to better match workloads, eliminating over-provisioned resources.
- Reserved Instances: Transitioned from on-demand instances to reserved instances where applicable, securing lower rates for long-term usage.
- Auto Scaling: Implemented Auto Scaling groups to dynamically adjust resources based on actual demand, ensuring efficient utilization.
Storage Optimization
- Lifecycle Policies: Applied lifecycle policies to AmazonS3 buckets, automatically transitioning data to lower-cost storage classes (e.g., S3 Infrequent Access, Glacier) for infrequently accessed data.
- Data Cleanup: Conducted regular audits and cleanup of unnecessary or obsolete data, reducing storage costs.
Traffic and Data Transfer Management
- Efficient Data Routing: Optimized data transfer routes and utilized AWS Direct Connect for consistent, lower-cost data transfer.
- Cost Monitoring and Alerts: Set up detailed cost monitoring and alerts to promptly identify and address any unexpected spikes in traffic-related expenses.