What Running a Hobby Farm Taught Me About Disaster Recovery
Full disclosure before we begin: I own goats. And chickens. And the kind of early morning operational complexity that only makes sense once you have committed to livestock and cannot uncommit without significant moral reckoning. I did not set out to build a disaster recovery framework on a hobby farm in South Georgia. I set out to have goats, which seemed like a reasonable life choice at the time. What I got, in addition to the goats, was a graduate-level course in what happens when critical systems fail without warning, in environments where the consequences are immediate and biological and cannot be resolved by rebooting anything.
The first lesson a hobby farm teaches you about disaster recovery is that redundancy is not optional and is not something you implement after the first failure. It is something you implement before it, based on a clear-eyed assessment of what will happen to your critical systems if the single point of failure you have been ignoring actually fails. The water line that supplies the animal pen is a single point of failure. This is obvious in theory and invisible in practice until the line freezes in January at 6 AM on a Monday and you are standing in a field in the dark with a headlamp and no backup water source and animals that have opinions about this situation. The enterprise equivalent, the database server without a replica, the internet connection without a failover, the admin account without a backup holder, follows exactly the same pattern: invisible until the moment it is catastrophically visible.
The second lesson is that recovery time objective and recovery point objective are not abstract concepts developed for compliance documentation. They are practical questions with real answers that determine how you operate on the worst morning. In farm terms: how long can the animals go without water before welfare is compromised, and what is the maximum acceptable state of water system failure before I need to invoke my backup plan? In IT terms, same question with different nouns. The organizations that have answered these questions specifically and honestly, per system, per workload, per business function, make meaningfully better decisions under pressure than the organizations that have answered them generically in a BCP document that has not been reviewed since the person who wrote it left the company.
The third and most important lesson is that a disaster recovery plan you have never tested is a hypothesis, not a plan. On the farm, the backup generator either starts or it does not, and you find this out during the actual power outage rather than before it if you have not been running regular tests. In IT environments, the failover either works as designed or it exposes the configuration drift that accumulated since the last test, the dependency that was added to the production system but not the DR environment, the credentials that were rotated in primary but not updated in the recovery runbook. Untested DR plans are optimism masquerading as preparedness, and optimism is a fine quality in a hobby farmer and a dangerous one in an IT leader responsible for recovery time commitments.
The farm has no SLA and no compliance framework and no board to present the recovery posture to. What it has is animals that need water, feed, and shelter regardless of what else is happening, and a very direct feedback loop between operational preparedness and operational outcome. There is something clarifying about a feedback loop that immediate. IT disaster recovery operates on longer timelines and more complex systems, but the underlying logic is identical: know your single points of failure, know your recovery objectives, test your plans before you need them, and have the backup water source in place before January. The goats are not patient about this. Neither should your SLA be.
