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Designing proactive observability for automation data flows
Patterns and tooling to keep automation pipelines reliable at scale.
CloudObservability
Automation only delivers value when data is timely, accurate, and trustworthy. We teamed up with data platform leads to build proactive observability.
Key ingredients
- Event-driven monitors with contract testing
- Distributed tracing across workflow runners
- Self-healing automations triggered by health signals
Outcome
Teams caught regressions before they triggered incidents, and automation uptime climbed to 99.99% across regions.