Howell notes that observability

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In fact, comparing the edge to containers demonstrates a specific potential connection - organizations that already use Kubernetes in their data centers and/or clouds are increasingly using it (albeit perhaps in a lightweight version) at the edge to ensure consistency.

Standardized operating system configurations and cluster orchestration are your friends. For example, organizations using Kubernetes in their data centers are increasingly using leaner versions of Kubernetes as a single-node edge cluster for applications such as telco radio access networks (RAN) or in-vehicle operations.

You don't want to deal with a bunch of one-off solutions or "snowflakes" in a large-scale edge architecture, do you?

4. Don't forget about monitoring and observability
According to Howell, if you think of the edge as another form of (highly) distributed computing, then you have to understand the need for visibility.

Indeed, monitoring and observability—familiar terms cambodia mobile database the cloud universe—join automation and standardization on the edge computing VIP list. You absolutely need the ability to monitor and measure (the latter increasingly referred to in IT as observability) what’s happening in your edge environments.

“Edge computing creates more points of failure — both on the edge computing devices themselves and on the network paths between the edge and the cloud,” Linden says. “And it’s critical to set up monitoring for each point where failure might occur and ensure that by running tests that simulate potential downtime or other issues, the resulting alerts direct your teams to the real point of failure.”

is just as important to your edge security strategy as reliability and resiliency.