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Beyond structural simplification, the transition delivered immediate and long-term financial relief. The modernization, running Oracle database on Google Cloud resulted in multi-year savings. By significantly reducing Oracle licensing fees and ongoing operating expenditures, technical teams are no longer sidelined by maintenance. Partnering with Pythian eliminated patching bottlenecks, removing the performance friction of manual cycles, allowing the internal team to refocus their expertise on retail innovation rather than infrastructure upkeep.
By having Pythian’s data engineers organize and govern our data, we’ve created a high-performance foundation specifically designed to fuel our AI for our retail operations."
US Outdoor Retailer
The retailer struggled with high costs and complex licensing structures that limited their ability to invest in innovation.
Continuous manual maintenance cycles overwhelmed database administrators and resulted in frequent performance dips across core systems.
Managing disparate on-premises Oracle systems alongside AWS components created operational silos that hindered overall business agility.
Pythian executed a phased migration of the retailer’s Oracle ATG applications and databases to Google Cloud Bare Metal Solution. This approach allowed the customer to maintain their required Oracle architecture while gaining the scalability and flexibility of Google Cloud. By moving to Oracle BMS on Google Cloud, the retailer gained the specific ability to optimize their Oracle footprint and reduce their licensing overhead significantly.
Pythian established a robust disaster recovery framework within Google Cloud to protect the retailer’s product data. This included setting up new backup requirements and conducting a successful DR exercise using Dbvisit software to validate the system. The result was a modernized recovery plan that provided the technical team with renewed confidence in data integrity.
To simplify the retailer's technology stack, Pythian managed the decommissioning of remnant AWS Relational Data Service (RDS) components. This ensured that all critical environments—production, test, and stage—were unified under a single management umbrella on Google Cloud. This consolidation eliminated the complexity of managing multi-cloud silos and reduced overall operational friction.
Harness the power of the Google ecosystem for scalable AI infrastructure to drive innovation. We combine world-class technical expertise with a customer-centric approach to accelerate transformation projects while maximizing the value of your investments.
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