How Aramis Auto leveraged our AI platform to optimize DevOps and infrastructure costs
AramisAuto a leading online marketplace for buying and selling cars in France, is known for its commitment to providing customers with a seamless and efficient car-buying experience. As the company expanded its operations, the need for a robust and scalable infrastructure became critical to support the growing demand on their marketplace.
The Challenge: Scaling Infrastructure Without Breaking the Bank
As Aramis Auto Marketplace continued to grow, their DevOps team faced increasing challenges in managing infrastructure costs while ensuring scalability and reliability. The existing infrastructure was not only expensive to maintain but also lacked the robustness needed to support the marketplace at scale. Recognizing these challenges, Guillaume Macaire, the CTO of Aramis Auto Marketplace, decided to seek external expertise to overhaul their infrastructure.
Enter Spinal
Rather than continuing to make ad-hoc improvements in-house, Aramis Auto turned to our AI platform to design and implement a sustainable, scalable infrastructure for their marketplace. Spinal’s engineering platform was employed to streamline and optimize the DevOps processes, allowing Aramis Auto to transition from a full-time DevOps team to a part-time one without compromising on performance or reliability.
The Spinal Impact
Spinal’s solution was instrumental in building a robust AWS infrastructure that has supported Aramis Auto’s marketplace operations without a single crash over two years. By implementing elastic architectures and automating critical processes, Spinal significantly reduced both DevOps and infrastructure costs. Specifically, Aramis Auto experienced a 75% reduction in DevOps costs and nearly a 50% reduction in infrastructure expenses.
Testimonial: A Partnership for Success
Guillaume Macaire, CTO of Aramis Auto Marketplace, remarked:
Spinal proved to be incredibly effective by quickly creating an initial version of our AWS infrastructure and gradually automating the necessary components while taking into account the inherent constraints of our technical system. Additionally, the Spinal team provided invaluable guidance, helping our team make informed decisions regarding our infrastructure and tools.