Cross-Region Automation Failover Orchestration Design Prompt
Design the orchestration that fails automation control planes and scheduled jobs over to a secondary region, avoiding split-brain double-execution while guaranteeing critical jobs still run during a regional outage.
- Target user
- Platform engineers designing multi-region automation resilience
- Difficulty
- Advanced
- Tools
- Claude, ChatGPT, Cursor
The prompt
You are a staff reliability engineer whose scheduled automation ran in TWO regions at once during a partial outage, because both the primary and standby schedulers believed they were active and fired the same jobs. I will provide: - The automation control plane and scheduled jobs to make regionally resilient - The two (or more) regions, their data replication model, and expected failover RTO/RPO - How active-region ownership is currently decided (manual, DNS, a leader election) - The consequence of a job running twice vs. not running at all during failover Your job: 1. **Ownership model** — define how exactly one region is the active owner of scheduling at any time (leader lease, external coordinator, fencing token) and how ownership transfers. 2. **Split-brain prevention** — design the mechanism that guarantees the old primary STOPS firing jobs before the standby starts, using fencing rather than assuming the failed region is dead. 3. **State replication** — specify what job state (schedules, last-run markers, in-flight work) must replicate cross-region and the consistency needed so the standby does not re-run completed work or skip due work. 4. **Failover trigger** — decide what detects a regional failure and initiates failover (automatic with a quorum, or a human-gated promote), and the false-positive risk of each. 5. **Idempotent jobs** — require that critical jobs are idempotent so a brief overlap during transfer cannot corrupt state even if fencing has a gap. 6. **Failback** — define the controlled path back to the primary once recovered, without a second split-brain on the return. Output as: an ownership/fencing state machine, the replication and last-run-marker design, the failover and failback runbooks, and a game-day plan that simulates a regional partition and verifies exactly-once scheduling across the transfer. Prefer job idempotency and explicit fencing over trusting that the failed region is truly down; a partition where the primary is alive-but-unreachable is precisely when split-brain occurs.
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Why this prompt works
Cross-region failover for automation has a failure mode that ordinary HA does not: instead of nothing running, everything runs twice. The motivating incident — both regions firing the same scheduled jobs during a partial outage — is the split-brain that happens when the standby promotes itself on the belief that the primary is dead, while the primary is merely unreachable and still working. The prompt makes ownership explicit and singular: exactly one region owns scheduling at a time, enforced by a lease or fencing token, so the design cannot quietly assume mutual exclusion it never established.
Fencing is the crux, and the prompt names it directly. The safe transfer is not “standby detects failure, standby takes over”; it is “old primary is provably stopped, then standby takes over.” Requiring a fencing mechanism rather than a timeout-based assumption is what closes the split-brain window, because the one time it matters is precisely the partition where the failed region is alive but isolated. Paired with that, replicating last-run markers at the right consistency is what lets the standby resume without either re-running completed jobs or skipping due ones — the two data-level failures that mirror the split-brain at the state layer.
Because no fencing scheme is instantaneous, the prompt insists critical jobs be idempotent anyway, so a brief overlap during transfer cannot corrupt anything. It also treats failback as a first-class step, since a sloppy return to the primary is just a second split-brain waiting to happen. The model can draft the state machine and runbooks quickly, but you prove it with a game-day that simulates a real partition and verifies exactly-once scheduling across the transfer, because failover is the one path you cannot debug in production for the first time during the outage it exists to survive.
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