Reduction in costs by shifting to server less architecture
Reduction in pipeline SLAs as a result of query optimization
Enhanced performance, ease of data management and seamless scaling
The client is a US-based wholesale food distributor and supplier that provides packaging, demand planning, inbound freight consolidation, delivery route optimization, etc., for manufacturers and retailers.
They sought to scale up their existing in-house data application, which is used by their user base to pull data records on a subscription basis to accommodate a more extensive subscriber base.
Amazon RDS
Amazon SQS
Amazon S3
Amazon Lambda
Amazon Athena
Quantiphi performed a deep-dive assessment of the client’s existing application architecture, identified the key issues and gaps, provided performance optimization recommendations, and assisted in implementing the proposed changes.
Successfully enabled workload migration and optimization of the client’s pipeline to yield a more scalable application
