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Monitoring SaaS Microservice Downtime — A Recovery-First Cost Attribution Design
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Monitoring SaaS Microservice Downtime — A Recovery-First Cost Attribution Design

DEV Community: microservices·YukiKobayashi880·4 days ago
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TL;DR: monitor the customer journey with synthetic checks, monitor each dependency with heartbeat endpoints, and make every failed observation carry enough service, region, run, and cost metadata to recover without guessing. A red check is evidence of an observation failure, not proof that the whole SaaS application is down. In a marketplace data pipeline, that distinction prevents a slow catalog worker from being charged to the search API, and it keeps retries from turning one incident into several false ones.

Decision record: what counts as downtime?

The decision rule is simple: use a synthetic check for availability as a user experiences it, a heartbeat for the health of a particular service, and a dependency-aware rollup for the application-level status. Keep those signals separate.…

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