Incident Library
  • Root cause
  • Component
  • Symptom
  • Contributing factor
  • Case

Cases2 cases

1 to 2 of 2

  1. Symptoms

    At 07:06 UTC on 20 October 2025, PubNub's monitoring alerted on raised error levels across multiple services in the IAD (US-East) region. Customers could see higher error rates and latency, and Presence was intermittently unavailable in IAD, SJC (US-West) and HND (AP-Northeast).

    Trigger

    A broad infrastructure outage at AWS, PubNub's cloud provider, in the IAD (US-East) region.

    Root cause
    Component
    –
    Contributing factor
    Detection

    PubNub's monitoring systems alerted at 07:06 UTC on raised error levels across multiple services in IAD.

    Remediation
    • Started regional failover procedures and re-routed new connections to other regions
    • Reset established connections by hand
    • Re-routed Presence traffic to Frankfurt (EU-Central)
    • Brought on additional infrastructure in other regions to absorb traffic
    • Isolated the US-East region again when the second wave hit US-West
    • Scaled up balancer capacity in US-West
    • Rebalanced traffic after AWS restored service and US-East was confirmed stable
    Action items
    • Consolidate and centralise regional failover procedures so they are complete and immediately accessible for all production services
    • Fill gaps in process documentation for newer services before they are fully adopted into production
    • Fix internal tooling problems, including inventory and DNS resolution, that made mitigation harder
  2. Symptoms

    On 21 March 2025, between 21:10 and 21:41 UTC, part of the authentication and authorization requests to Twingate services failed with elevated error rates.

    Trigger

    Twingate saw anomalies in one of its GKE clusters and scaled down the deployments in that cluster to protect the rest of the system, which moved its traffic to the other clusters.

    Root cause
    Component
    Contributing factor
    Detection

    Twingate observed anomalies in one of its GKE clusters at the start of the incident.

    Remediation
    • Reintroduced capacity in the cluster that had been scaled down, so traffic was rebalanced across regions
    Action items
    • Keep working with the cloud provider to find the cause of the unexpected timeouts and of the cluster update's impact
    • Run deployments in all regions with the same number of replicas in the HPA configuration
    • Raise the maximum node counts of the cluster node autoscalers to leave more room to scale up
    • Configure the HPA to scale up faster
Check your cluster for this

These 2 cases involve Cloud load balancer and Cluster autoscaler. kubegap audits a Kubernetes cluster for gaps like these, read-only, from Claude Code or Codex; its checks cite public reports like the ones in this library.

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