Better Uptime Stack: Self-Hosted Health Endpoints, Metrics, Logs, and EU/US Data

For a SaaS MVP targeting EU and US customers, start with external uptime checks, a health endpoint, low-cardinality metrics, and structured logs in a region that meets residency and retention requirements. Choose a self-hosted stack for control over data residency and retention, or a managed service when your team cannot manage storage and alert delivery. Focus on incident reconstruction rather than collecting large amounts of telemetry.

To determine the root cause of a failed pipeline, focus on specific bounded signals such as pipeline_last_success_timestamp, pipeline_duration_seconds, pipeline_records_processed_total, pipeline_records_rejected_total, and queue_depth labeled by region. Capture structured events with run_id, stage, result, and error_code fields, avoiding sensitive data like customer email addresses or shipment payloads.

Implement a health endpoint for dependency awareness, returning a stable status and machine-readable body without raw database errors. Use TypeScript to define check dependencies and produce a health result.

To reconstruct a pipeline incident, follow the external probe event's timestamp, region, and match it to the job-start event, download result, validation count, and completion metric. Investigate scheduling, workers, dependencies, or input quality based on the specific failure points. Small signals help determine the next action without overwhelming on-call engineers with noisy alerts.