Deploying and operating large-scale

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If you're trying to manually manage things like configuration, OS patches, software updates, and a host of other common operational requirements, you're likely going to have a hard time. The same goes for standardization—or lack thereof—across OS and other software, tooling, etc.

" distributed infrastructures is complex enough without adding randomness and silos to the mix," Huff says.

Teams managing hybrid cloud or multi-cloud systems—especially those with containerized applications—have probably figured this out already, but it's always good to reiterate: you need a practical plan for Day 2 operations and beyond.

The solution to this problem is automation and consistency, the twin pillars of edge operations. “Automation and management are essential for tasks like mass configuration, event response, and centralized application updates,” says Huff. “The corollary to this requirement is to ensure maximum consistency from the data center to the edge. Standardized operating system configurations and cluster orchestration are your friends.”

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Realizing the benefits of edge computing depends on a thoughtful strategy and careful assessment of your use cases, in part to ensure the benefits outweigh the natural complexity of edge environments.

“CIOs shouldn’t adopt or push edge computing just because it’s a trendy thing — there are real problems it’s designed to solve, and not all scenarios have those problems,” says Jeremy Linden, senior director of product management at Asimily.

Part of the inherent problem here is that one of the biggest features of edge computing—low latency—has broad appeal. Not many IT leaders are pining for slower applications. But that doesn’t mean moving everything from the data center or cloud to the edge is a good (or even feasible) idea.

“For example, some of the workload of an autonomous car might be hosted in the cloud, but by its nature it needs to respond to events very quickly (to avoid danger) and do so in situations where internet connectivity may not be available,” Linden says. “That’s a scenario where edge computing makes sense.”