gaiia software incident

Brief Service Disruption - Resolved

Resolved after 5 hours 2 minutes, affecting Web App (app.gaiia.com) and Public GraphQL API and 1 more, on July 14, 2026.

resolved Jul 14, 2026, 08:37 PM UTC

Between 12:26 PM and 12:33 PM EST, some users experienced degraded availability, including connection errors and slower response times. Our team identified the issue quickly and triggered a failover on the faulty database instance in the cluster, which fully restored service within 7 minutes. Our investigation identified the root cause, and we've deployed a fix that directly addresses it. We're seeing definite signs of stabilization and are closely monitoring performance. We recognize this is the second service disruption in two days, affecting different systems. As our platform continues to grow and support increasing demand, we're conducting a broader review of our infrastructure resilience to ensure it continues to scale reliably and to reduce the likelihood of future incidents.

Started
Jul 14, 2026, 12:30 PM UTC
Resolved
Jul 14, 2026, 05:33 PM UTC
Duration
5h 2m
Detected by Pingoru
Jul 14, 2026, 12:30 PM UTC

Affected components

Web App (app.gaiia.com)Public GraphQL APIField Service (mobile)Online CheckoutCustomer PortalAnalytics & Reports

Update timeline

  1. resolved Jul 14, 2026, 08:37 PM UTC

    Between 12:26 PM and 12:33 PM EST, some users experienced degraded availability, including connection errors and slower response times. Our team identified the issue quickly and triggered a failover on the faulty database instance in the cluster, which fully restored service within 7 minutes. Our investigation identified the root cause, and we've deployed a fix that directly addresses it. We're seeing definite signs of stabilization and are closely monitoring performance. We recognize this is the second service disruption in two days, affecting different systems. As our platform continues to grow and support increasing demand, we're conducting a broader review of our infrastructure resilience to ensure it continues to scale reliably and to reduce the likelihood of future incidents.

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