A technical team manages dozens of application servers with a standard set of settings, but mismatches keep surfacing. Some administrators change vital parameters during troubleshooting. The engineer wants a reliable strategy that realigns each server to the approved baseline and stops unauthorized changes from persisting. Which measure would accomplish this effectively?
Block local file modification so changes happen through a separate request system.
Conduct regular spot checks to identify unexpected values and standardize them through a preapproved script.
Share the official settings in a new guide and request administrators to apply them.
Deploy an automated template that applies the approved settings and detects unauthorized alterations for correction.
A managed approach with automated verification and reversion ensures consistent alignment with approved settings across many servers. Distributing a guide alone cannot prevent deviations. Checking on a schedule can leave periods where unwanted modifications accumulate. Completely blocking modifications can limit legitimate maintenance. Using a structured baseline that detects and corrects unapproved variations provides continuous stability while allowing valid adjustments through proper processes.
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