Case study: Using Vespa Cloud Resource Suggestions to optimize costs
Blog post from Vespa
Onyx, an open-source AI platform designed for enterprise knowledge management, successfully utilized Vespa Cloud's automated configuration changes to achieve a 24.5% cost reduction without sacrificing performance or requiring extensive manual intervention. As Onyx's customer base expanded, managing their Vespa deployment became increasingly complex, necessitating a balance between cost and performance. Vespa Cloud offered insights and suggestions for resource optimization, allowing Onyx to reconfigure their system efficiently. This included reducing CPU overprovisioning and optimizing memory usage, which were facilitated by Vespa Cloud's automated deployment and migration capabilities, ensuring a seamless transition with no service interruptions. The platform's tools and expert support enabled Onyx to continuously optimize their infrastructure as they scale, setting the stage for further improvements in efficiency and cost savings.