The challenge
The organization had a documented DR plan but no confidence in it. Recovery depended on manual steps, tribal knowledge, and a hope that the standby environment still matched production. For regulated, life-adjacent systems, "we think it will work" isn't an answer.
What we built
Disaster recovery expressed entirely as code and automation, so the recovery environment is a build artifact — not a museum piece.
- A CI/CD pipeline that deploys a mirror image of the production environment into a separate AWS region
- The same infrastructure-as-code that builds production builds DR, guaranteeing parity and eliminating drift
- Automated data replication with defined recovery point/time objectives and DNS-level failover orchestration
- Runbooks-as-code and scheduled game-day exercises so failover is rehearsed, measured, and improved
How it works
Because production itself is code (see the landing-zone program), recovery is "deploy the same templates, different region." Replication keeps data current within the target RPO; a controlled failover repoints traffic and promotes the standby. Every drill produces metrics that feed the next round of tuning.
Results
- DR moved from untested paperwork to a regularly exercised, measurable capability
- Configuration drift between primary and recovery eliminated by sharing one source of truth
- Recovery objectives that can be demonstrated to auditors and leadership, not just asserted
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