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DoiT is a global technology company that works with cloud-driven organizations to leverage the cloud to drive business growth and innovation.
⚡️ How M***a scales EV charging infrastructure with confidence on AWS
M***a, a global SaaS provider powering over 250,000 EV charging points, partnered with DoiT to enhance FinOps and cost governance across its Amazon Web Services platform. With DoiT Cloud Intelligence™, Flexsave, and DataHub, M***a connects engineering and finance around shared KPIs, extends visibility beyond cloud-native spend, and plans infrastructure growth with confidence as its EV network scales globally.
✅ Cost per active charge point tracked as a core FinOps KPI
✅ Unified visibility across AWS and third-party platform costs with DataHub
✅ Improved forecasting accuracy aligned to business growth
✅ Faster adoption of AWS capabilities through expert FinOps guidance
See how M***a builds and scales responsibly on AWS with DoiT
Read the story here: https://www.doit.com/clients/monta/?utm_campaign=Sprout+Social+Traffic&utm_content=%E2%9A%A1%EF%B8%8F+How+M***a+scales+EV+ch&utm_medium=social&utm_source=facebook
11/25/2025
How DaySmart accelerated AI innovation and strengthened cloud governance with DoiT on Amazon Web Services
DaySmart partnered with DoiT to launch production-ready AI, unify visibility across multiple AWS environments, and build a governed foundation for FinOps and secure cloud operations. Powered by DoiT Cloud Intelligence™ and the GenAI Cloud Accelerator, the company moved from idea to deployment at remarkable speed while keeping engineering focused on its roadmap.
✅ 90 days from POC to deployment with zero internal engineering time required
✅ 6x Engineers worth of resource saved
✅ 12x Weeks of time saved with DoiT’s Gen AI Cloud Accelerator
✅ Unified cloud visibility and spend governance across product lines
See how DaySmart is scaling AI responsibly with DoiT: https://www.doit.com/clients/daysmart/?utm_campaign=DaySmart+Written+Case+Study&utm_source=facebook&utm_medium=social&utm_content=1764079234
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Most teams think they understand how their Kubernetes workloads impact cost, performance, and operations… until something breaks or a bill spikes.
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