Automating manual processes with new technologies can provide low-risk opportunities for trying out solutions, allowing organizations to get used to them before expanding to other areas. Breaking change in legacy technology is often outside an organization's control, but open source tools' interoperability, extensibility, and flexibility can help mitigate this issue by adding new functionality and capabilities that extend the value of industrial data. Upgrading equipment often involves replacing or updating machines with different sensors or capabilities, which may not be compatible with legacy data historians, making it a high-risk endeavor. However, introducing a system like InfluxDB with broad interoperability and capabilities can help take advantage of new developments with a light lift, reducing the risk of upgrading an IIoT/OT stack. As organizations grow, they have opportunities to implement new technologies while testing and iterating on each aspect of the process, ultimately leading to significant improvements in industrial processes by using solutions like InfluxDB that enable iterative deployment and scaling at the pace that makes sense for their organization.