How Rapyd solved observability gaps to cut Kubernetes costs by 40%
Learn how Rapyd overcame observability limits with PerfectScale by DoiT to cut Kubernetes costs and boost app stability.
Carto is a leading analytics platform specializing in location data, helping businesses make smarter decisions based on geographic insights. From telecommunications companies optimizing 5G antenna placement to retailers predicting revenue by location, Carto’s solutions power location intelligence across industries.
As Carto scaled its operations on Google Cloud, managing infrastructure costs and efficiency became a growing focus. The company ran numerous services and needed a more efficient way to monitor, optimize, and allocate cloud resources effectively. Cost optimization was the initial priority, but as Carto dug deeper, it saw opportunities to improve overall cloud utilization and infrastructure efficiency.
Carto discovered DoiT while searching for cost-optimization solutions. What began as a way to manage cloud expenses quickly expanded into a broader engagement with DoiT Cloud Intelligence™, which provided deep visibility into infrastructure utilization and opportunities for savings.
DoiT Cloud Intelligence empowered Carto’s infrastructure team with real-time insights, enabling them to track cloud usage, allocate resources efficiently, and ensure their costs remained under control. By leveraging DoiT’s technology and expertise, Carto set an internal goal of reducing cloud resource usage by 2% each month—an initiative that keeps the team focused on continuous optimization while maintaining security and service-level objectives.
With DoiT, Carto has transformed its approach to cloud cost management and infrastructure efficiency. The ability to blend self-service analytics with expert support has given Carto the best of both worlds—autonomy when needed and strategic guidance when required.
By integrating DoiT’s solutions, Carto not only achieved measurable cost savings but also built a cloud strategy that is sustainable and scalable for future growth.
Learn how Rapyd overcame observability limits with PerfectScale by DoiT to cut Kubernetes costs and boost app stability.
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From cost optimization to cloud migration, machine learning and CloudOps, we’re here to make the public cloud easy.
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