Luma Health incident

Slowness across Luma Platform

Resolved after 3 hours 26 minutes, affecting Luma Health Web (next.lumahealth.io), on June 11, 2026.

resolved Jun 11, 2026, 07:58 PM UTC

This incident has been resolved. The slowness affecting Luma services has been fully addressed and performance has returned to normal levels. Earlier today, a large-scale data processing operation triggered an unexpected spike in our infrastructure, which led to the slowness some users experienced across Luma services. Our Engineering team identified the root cause, deployed a fix, and is continuing to make improvements to prevent this from happening again.

Started
Jun 11, 2026, 04:31 PM UTC
Resolved
Jun 11, 2026, 07:58 PM UTC
Duration
3h 26m
Detected by Pingoru
Jun 11, 2026, 04:31 PM UTC

Affected components

Luma Health Web (next.lumahealth.io)

Update timeline

  1. investigating Jun 11, 2026, 04:31 PM UTC

    We are currently investigating reports of slowness in the Luma Platform. Our team is actively working to identify the root cause.

  2. identified Jun 11, 2026, 05:01 PM UTC

    We have identified the issue causing the slowness in Luma services. Our Engineering team is actively working on a fix and making progress toward full resolution.

  3. identified Jun 11, 2026, 06:02 PM UTC

    We have identified the issue impacting Luma services performance. Our Engineering team is still working on a fix and is progressing toward a complete resolution.

  4. monitoring Jun 11, 2026, 06:28 PM UTC

    A fix has been deployed and we are monitoring the results. Luma services are recovering and performance is returning to normal levels.

  5. resolved Jun 11, 2026, 07:58 PM UTC

    This incident has been resolved. The slowness affecting Luma services has been fully addressed and performance has returned to normal levels. Earlier today, a large-scale data processing operation triggered an unexpected spike in our infrastructure, which led to the slowness some users experienced across Luma services. Our Engineering team identified the root cause, deployed a fix, and is continuing to make improvements to prevent this from happening again.

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