Industrial sites generate enormous volumes of sensor and machine data, but sending all of it to a distant cloud region for processing introduces latency that safety-critical and real-time control applications cannot tolerate, along with meaningful bandwidth cost for continuous high-frequency telemetry. Edge computing addresses this by processing data close to where it is generated, sending only summarized results or exceptions upstream.
Distributing compute without distributing risk
Edge deployments multiply the number of physical locations running compute infrastructure, each a potential target with its own patching, monitoring, and physical security requirements. Treating edge nodes as an extension of the data center’s security perimeter—not as trusted-by-default local devices—is essential, since a compromised edge node can serve as a foothold into both OT and upstream cloud environments.
Architecture decisions should be workload-driven: real-time control loops belong at the edge, while historical analysis, model training, and cross-site aggregation belong in centralized or cloud environments with more compute available.
JIG designs edge computing architectures for industrial clients that balance latency requirements with consistent security and operational management.