MJTelco, a startup with innovative optical communications hardware patents, aims to build networks in underserved markets globally. They require a solution to scale their proof-of-concept (PoC) to support over 50,000 installations and refine their machine-learning models. They operate in three environments: development/test, staging, and production. Their needs include scaling production with minimal cost, ensuring data security, providing reliable data access for distributed research, and maintaining isolated environments for rapid machine-learning iteration. For operations, they need a visualization that includes telemetry from all installations for the last 6 weeks, updated within 3 hours, focusing on suboptimal links, with user response time under 5 seconds. Given you've created a data source for the last 6 weeks of data and visualizations that allow viewing multiple date ranges, regions, and installation types without monthly updates, what should you do?