Volie provides a cloud-based communications platform tailored for automotive dealerships and call centers, streamlining customer outreach, campaign management, and data integration. With thousands of daily active users, Volie required a modernized data processing infrastructure to handle its growing data ingestion, storage, and reporting needs.

Volie faced significant scalability and performance challenges in its existing data processing pipeline, primarily due to high database load, as the Postgres database repeatedly processed unchanged XML data, leading to inefficiencies. Additionally, excessive storage costs became a major concern, with raw and processed data stored in Postgres, accumulating over $20,000 in monthly expenses. The reporting system suffered from slow data retrieval, as complex aggregations and increasing data volume resulted in long query times. Furthermore, the nightly CDK data imports lacked incremental processing, causing redundant data processing and further straining system performance.

AWS was chosen as the preferred cloud platform for its ability to handle large-scale data processing, optimize costs, and improve performance. By leveraging Amazon S3 and AWS Glue, Volie implemented a scalable and cost-effective alternative to traditional Postgres-based processing, reducing database strain and enhancing efficiency. Amazon Athena and Redshift improved query performance, enabling faster data retrieval with on-demand execution, while AWS-native services facilitated seamless data ingestion, transformation, and analytics, minimizing the need for manual intervention. Additionally, storing and processing data in S3 and Athena led to significant cost reductions, eliminating unnecessary database storage expenses and optimizing overall infrastructure spending.

SnapSoft designed a modernized AWS-based architecture to optimize Volie’s data import and reporting processes, ensuring scalability and efficiency. The CDK import tables were migrated to Amazon S3, providing cost-efficient storage while Athena queries enabled incremental data detection, eliminating redundant processing. To improve data transformation, XML files were pre-processed in S3, and AWS Glue and Lambda were used to automate workflows and manage error handling. For reporting optimization, a serverless Redshift cluster was implemented to enhance query performance, while a Zero-ETL pipeline replicated the OLTP schema for analytics, with Snowflake also evaluated as an alternative for improved scalability. Security and compliance were strengthened using AWS IAM for role-based access control and Amazon S3 lifecycle policies to automate data retention and cost management, ensuring a secure, scalable, and future-ready data infrastructure.

Compute & Data Processing

• AWS Lambda (Automated XML preprocessing)
• AWS Glue (ETL orchestration for structured data transformation)

Storage & Data Management

• Amazon S3 (Scalable data lake for import tables)
• AWS Athena (Serverless SQL queries for efficient data retrieval)

Analytics & Reporting

• Amazon Redshift (Data warehouse for performance-optimized reporting)
• Snowflake (Evaluated for potential integration)

Security & Access Control

• AWS IAM (Secure access management)
• Amazon S3 Lifecycle Policies (Automated data retention strategy)

• Database Load Reduction:: Offloading data preprocessing to S3 significantly reduced Postgres workload.
• Lower Operational Costs: Transitioning to S3-based storage and Athena queries eliminated approximately $20,000+ in monthly database expenses.
• Faster Data Processing: Optimized incremental data ingestion, reducing CDK import processing time.
• Improved Reporting Performance: Amazon Redshift integration enhanced query speeds for business intelligence analytics.
• Scalability & Future Readiness: The new serverless architecture enables seamless expansion as data volumes grow​​.

By leveraging SnapSoft’s AWS expertise, Volie successfully modernized its data infrastructure, achieving greater efficiency, lower costs, and improved scalability, positioning itself for future growth and innovation.