As Artificial Intelligence (AI) systems grow in complexity and scope, managing end-to-end workflows, spanning data ingestion to model deployment, has become increasingly labor.
How a Leading Online Grocer Achieved 40% Cost Reduction and Streamlined Data Architecture with Confluent
Meet The Client
A rapidly growing online-only supermarket in Europe, which operates around France, the Netherlands, and Germany, was struggling with constraining its data infrastructure under continuously increasing customer demands due to their rapid business growth. The business handles an overwhelming 300 million unique events on a weekly basis from the customer applications and internal operations, which are highly dependent on insight-driven data to support effective cost pricing and operational efficiency.
Challenges
The online grocery landscape is one that is highly competitive. It really requires what is known as innovation and operational efficiency in order to survive. This client had multiple business challenges:
Limited data retention
Tooling burden
Lack of exactly once semantics
Solutions
To address these challenges comprehensively, client turned to Confluent Cloud, leveraging its Apache Kafka® foundation:
Decoupling RabbitMQ
Leveraging Confluent Connectors
Confluent's Data Preview feature facilitated pre-production testing of connector outputs, ensuring data
The Impact
Reduced by 40%
Confluent Cloud's ability to utilize the cloud and its managed services has reduced infrastructure cost by 40%.
Streamlined by 40%
The number of managed services dropped from five to one, simplifying overall IT operations.
Improved SLAs
The data delivery was ensured by Confluent's solution thus, the data loss problem was solved.