How Aura from Unity revolutionized their big data pipeline with Amazon Redshift Serverless
Big Data Blog
This article describes how Aura (formerly ironSource) from Unity successfully adopted Amazon Redshift Serverless to optimize their bidding advertisement campaigns, reducing the overall processing time from 24 hours to just 2 hours.
Specifically, the article covers:
- Aura's initial data pipeline architecture for running AI-based bidding campaigns using an Amazon Redshift provisioned cluster
- Challenges faced with the initial architecture as the number of campaigns grew, leading to heavy utilization of the provisioned cluster
- Proof of concept using Redshift Serverless as a consumer to the main provisioned cluster, leveraging data sharing to avoid data duplication
- Aura's new solution architecture with Redshift Serverless, which automatically scales compute resources as needed
- Outcome: 90% reduction in pipeline duration and cost savings by separating small and large-scale workloads
- Learnings and cost control measures implemented with Redshift Serverless
- Conclusion and recommendations for organizations considering a similar solution
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