Operations, made repeatable.
Manual service and backup reviews made outages, configuration drift, and unusable snapshots easy to miss in a synthetic order-processing workload.
The constraints shape the system.
Free Ubuntu runner execution with synthetic data. Recovery actions needed previews and preconditions rather than an unconditional restart on every failure.
The implementation.
- Implement repeatable service, configuration, and backup checks.
- Record incident transitions and validate online backups.
- Build an isolated restore drill and reject corrupted inputs.
- Guard restart actions with preview, preconditions, a lock, and a cooldown.
What the checks showed.
RECORDED LAB OUTCOME
15 live acceptance scenarios and 19 automated boundary tests passed. Outage and drift were detected, unsafe restarts and corrupt restores were refused, and a recovered app served all five orders.
What this result means.
Backups and event records remained local. No off-host alert delivery, continuous production monitoring, or SLA is claimed. Rollback removed the owned services after final checks.
What I would improve.
A production version should add off-host backup assurance, external event delivery, and explicit alert ownership. Automation needs failure boundaries as much as successful execution.
Inspect the work.
Read the original case study, browse the preserved evidence, or inspect the implementation repository.
Related service: Workflow Automation. A production engagement starts with your actual workload, risks, and acceptance criteria.