Automating service delivery

The goal of service delivery is to reduce the number of steps required to deliver a service. This is true in IT as well as in edge computing. Whether it is a simple application or a machine learning (ML) model to be deployed on edge devices quickly and securely, automating those steps is what teams strive for. Doing so helps eliminate configuration errors and scale such solutions.

Physical installation of devices is not something that the OT can automate, but the configuration of the devices and deployment of applications that run on those devices can be automated. If a large bank that has over 10,000 ATMs across the country wants to apply an update to its ATMs, it cannot afford to send personnel to every ATM. Rather, the update is done remotely either through command-line scripts or a DevOps toolchain. Another good example is damage detection sensors on wind turbine blades monitored by edge nodes located on top of the wind turbines.

DevOps

Collaboration...