Cases10 cases

1 to 5 of 10

1. IL-0124 Capacity changes queued while a circuit breaker was engaged ran all at once when it was released, taking multiple OpenAI inference engines out of service and raising API error rates

   OpenAI2026

   Symptoms

   Between about 4:26 PM and 4:56 PM PST on 4 March 2026, some OpenAI API requests to several models failed or took longer than usual, and some Codex traffic was affected too. The overall API success rate dropped temporarily.

   High error rateHigh latency

   Trigger

   A protective circuit breaker that had paused some scheduling operations was released, and the infrastructure actions queued during the pause were executed at the same time.

   Root cause

   Software defect

   Component

   Automated capacity manager

   Contributing factor

   Automation amplificationChange with a delayed effectNo safeguard on destructive changeMonitoring blind spot

   Remediation

   • manually reassigned infrastructure resources to the affected models
   • brought the removed inference engines back online and reassigned them until error rates returned to normal

   Action items

   • Improve safeguards in the automated capacity management systems so they detect and respond to state drift
   • Improve observability of circuit breakers and scheduling systems so their status and effects are easier to identify
   • Add safeguards so queued actions cannot run in large batches after long pauses
   • Improve monitoring and alerting around capacity reconciliation problems

   Lessons

   Pausing one automated system does not stop the systems that feed it. Changes queued during the pause reflect the state at the time they were queued, and releasing the queue all at once applies those stale decisions together. The fixes OpenAI names are detecting state drift, making circuit breaker status visible, and preventing large batches from executing after a long pause.

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2. IL-0122 An invalid value in a configuration shared by several ChatGPT services put pods into crash loops and raised error rates

   OpenAI2025

   Symptoms

   From 7:43 PM to 8:38 PM PDT on July 15, 2025, a small percentage of ChatGPT users saw more errors in their conversations.

   Container crash loopHigh error rate

   Trigger

   An internal engineer applied a configuration change that contained an invalid value.

   Root cause

   Configuration change

   Component

   –

   Contributing factor

   Excessive blast radiusNo staged rollout

   Remediation

   • reverted the configuration to the correct value
   • started a rolling restart of the affected pods to force them to resynchronise

   Action items

   • Roll out future critical configuration changes for the service to a single cluster first, with automated health guards that stop the rollout if availability drops
   • Move to a service-specific configuration value instead of one shared between services
   • Improve deployment safeguards

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3. IL-0121 A faulty code change to a control plane cluster meant for low-priority workloads degraded the production inference workloads it also managed

   OpenAI2025

   Symptoms

   Between 2:10 PM and 3:05 PM PDT on July 9, 2025, success rates of the gpt-4.1-mini model in the API dropped for about 20 minutes, and ChatGPT search returned many more errors than usual for about 35 minutes.

   High error rate

   Trigger

   A faulty code change was deployed to a control plane cluster whose main job is managing low-priority workloads.

   Root cause

   Faulty deployment

   Component

   –

   Contributing factor

   Excessive blast radiusNo safeguard on destructive change

   Remediation

   • rolled back the faulty code change

   Action items

   • Add safeguards that prevent production inference workloads from being managed by the low-priority control plane cluster
   • Strengthen testing for deploying high-impact control plane changes
   • Move all existing production inference workloads under the production control plane cluster
   • Build a circuit breaker that stops large-scale unintended changes

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4. IL-0120 A daily scheduled OS update restarted systemd-networkd on cloud-hosted GPU nodes, which conflicted with OpenAI's networking agent and removed all routes, cutting capacity for ChatGPT and the API

   OpenAI2025

   Symptoms

   At 11:36 PM PDT on 9 June, alerts fired across multiple OpenAI services as a large number of cloud-hosted GPU nodes lost network connectivity, and the engineering team was escalated to immediately. Losing those nodes cut the capacity available to serve ChatGPT and the API.

   High error rateGPU unavailable

   Trigger

   A routine daily scheduled update of the host operating system on the cloud-hosted GPU servers restarted systemd-networkd on the affected nodes.

   Root cause

   Breaking change in an upgrade

   Component

   systemd-networkdNode operating system image

   Contributing factor

   No staged rolloutLimited debug access

   Detection

   Alerts fired immediately across multiple services when the infrastructure began losing network connectivity at 11:36 PM PDT, and the engineering team was escalated to at once.

   Remediation

   • re-imaged the affected GPU virtual machines
   • deployed recovery automation to restart the remaining impacted nodes
   • halted the background update mechanisms on the GPU VMs

   Action items

   • Disable automatic daily updates on GPU VMs so updates run in a controlled, scheduled way
   • Update system configurations to prevent conflicts between systemd-networkd and the networking service
   • Audit VM configurations across the fleet to find and reduce similar risks
   • Improve recovery speed for critical infrastructure such as GPU VMs and clusters
   • Run regular disaster recovery drills

   Lessons

   An unattended operating system update that restarts systemd-networkd can wipe the routes another networking agent manages, and it hits every node that takes the update at about the same time. Without break-glass tooling to restore connectivity, nodes that lost their network had to be re-imaged, which stretched recovery over many hours.

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5. IL-0119 ChatGPT web service pods crash-looped on failing health checks after a Cosmos DB failure, leaving too few healthy pods to serve the web layer

   OpenAI2025

   Symptoms

   From 3:30am to 7:08am PT, chatgpt.com and a small number of OpenAI APIs returned elevated error rates. The status page classed the incident as a full outage.

   High error rateContainer crash loopProbe failures

   Trigger

   A failure of Cosmos DB in ChatGPT, at OpenAI's service provider.

   Root cause

   Cloud provider outage

   Component

   Application database

   Contributing factor

   Health check tied to a dependency

   Remediation

   • the service provider recovered the affected Cosmos DB databases at 4:25am PT
   • fixed the web server's health checking logic, which ended the pod crash loop

   Action items

   • Change the web systems to degrade more gracefully when they fail, including concurrency control and better load shedding
   • Make the database layer more resilient to service provider outages (described as already underway)

   Lessons

   The database came back at 4:25am PT, yet users saw errors until 7:08am PT: the web tier's own health checks kept removing pods after the dependency had recovered. The planned changes target the web tier's behaviour under failure, with concurrency control and load shedding, rather than the database alone.

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