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Resilience

WHEN SOMETHING
GOES WRONG.

Being built

Every system fails eventually. What separates an incident from a catastrophe is whether the failure modes were thought about beforehand and whether the recovery has ever been tested — because a backup nobody has restored is a hypothesis.

What to know
The two numbers that define it
How much data you can afford to lose, and how long you can afford to be down. Every recovery decision follows from those, and an organization that has not chosen them has chosen them implicitly and badly.
  • Recovery point objective — the acceptable window of lost data
  • Recovery time objective — how long restoration may take
Append-only helps more than it looks
A log that is never updated or deleted is far easier to reason about after an incident: recovery is replaying events rather than reconciling a mutable state nobody can reconstruct. The financial ledger has the same property by design.
A backup is a hypothesis until restored
Restoration has to be practiced, on a schedule, to a real environment. Almost every serious data-loss incident involves a backup that existed and could not be used.
What is true today
The database is managed with provider-level backups, and the record structure is append-only, which meaningfully limits what a bad write can destroy. A documented recovery plan with tested objectives is not in place, and saying so is more useful to somebody assessing risk than a paragraph implying one.
Where to go next
GRAJ

READY TO
RUN YOUR GAME ON GRAJ.

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