Software tools help distribute computing power to the edge, reducing server load and improving real-time KPI calculations, which were traditionally handled at centralized servers.
As end-users demand more data from sensors, instruments and edge-computing devices, automation engineers must balance data availability with network and software complexity. Edge computing has gained traction as a cost-effective solution, leveraging intelligent devices alongside on-prem and cloud servers.
Advances in remote management and deployment technologies have made large-scale edge computing more viable, Control reported. However, while new DataOps software solutions promise unified namespace implementations, they can introduce additional layers and costs, sometimes deterring users due to recurring subscription fees.
To mitigate these concerns, system integrators like Eosys leverage solutions such as Rockwell Automation’s Embedded Edge Compute and Inductive Automation’s Ignition software. Control spoke to Ryan Gerken, principal engineer at Eosys, in an exclusive interview to learn more. Read what he had to say in this article.
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