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

Cases2 cases

1 to 2 of 2

  1. Symptoms

    On 3 March 2026, during a scheduled maintenance to replace a faulty switch in a cluster in IONOS Cloud's TXL data center, monitoring alerts fired and the hosts in that cluster lost network connectivity. Customers saw intermittent network degradation or outages, and the Data Center Designer (DCD) web frontend and the AI Model Hub became unreachable.

    Trigger

    During a scheduled maintenance to replace a faulty switch, Topology 2 of 2 in the affected cluster was disabled as planned, and a link flap on a switch in Topology 1 then flooded the InfiniBand control plane with alerts and started a fabric resweep.

    Root cause
    Component
    Contributing factor
    Detection

    IONOS began investigating monitoring alerts in TXL; the first status update was posted at 11:36 UTC.

    Remediation
    • Switched from the affected control plane to its standby
    • Rebooted the locked-up gateways
    • Recovered Topology 1 from the scheduled maintenance
    • Paused provisioning in the cluster that had a backlog of queued jobs
    • Re-enabled provisioning once network connectivity improved and watched job execution
    • Re-established connectivity for the systems that support the DCD
    Action items
    • Adjusted the control-plane configuration to use less aggressive failover timers and reduced heavy sweep activity, lowering the load on the forwarding table
    • Reduced the number of multicast group memberships to relieve the forwarding table
    • Set up continuous monitoring of forwarding table use and control-plane memory with alerts before capacity limits are reached
    • Move the control plane to dedicated high-performance servers, separate from data-plane traffic
    • Audit IPv6 configurations and IPoIB driver settings
    • Modernise the interconnect fabric, including switches, gateways and drivers
    • Hardened IAM maintenance protocols so that critical identity services keep working when the primary Cloud APIs are temporarily unavailable
    • Move IAM to a dedicated platform without a dependency on the standard managed Kubernetes clusters
    • Introduce a dedicated provisioning provider for DBaaS and Managed Kubernetes
    • Add automated circuit breakers to the provisioning engine against overload and queue buildup from self-healing services
    • Improve visibility and control over job execution and prioritisation in the provisioning queue
    • Change the provisioning queue architecture to decouple services and reduce spillover
    Lessons

    IONOS identified the linking of services through the shared provisioning queue as a key reason the degradation lasted as long as it did. Alongside making each service more robust, it is decoupling the provisioning queue and addressing dependencies between services to reduce the blast radius of future incidents.

  2. Symptoms

    From mid-December 2011, after Sakura Cloud launched, traffic between the host servers and the storage device grew, and the network connection between the hosts that carry users' servers and the storage device was cut again and again. Each cut caused by a port switchover lasted about five minutes.

    Trigger

    Traffic between the host servers and the storage device grew from mid-December 2011, after the service launched on 15 November 2011.

    Root cause
    Component
    Contributing factor
    Remediation
    • Switched the network interface monitoring from ICMP to a LINK state check, so the device fails over only on a physical link down
    • Changed the InfiniBand Subnet Manager's check from normal mode to heavy sweep mode
    • Updated the storage device firmware on 19 March, which stopped the packet loss
    • Added a second storage device on 12 March and migrated servers to it to reduce and spread the load
    Action items
    • Replace the current storage with an entirely different new storage device
    • Test the new storage in an environment equal to its maximum capacity under real load, with a free beta before paid service
    • Use network interface drivers and similar parts equivalent to those already proven on the host servers
    • Develop the new storage with in-house engineers so Sakura Internet can manage and operate it itself
    Lessons

    Sakura Internet wrote that it could not test the storage device at its performance limit, because it could not prepare as many servers as the design capacity and used load generated from predictions, so it could not respond quickly and accurately to problems in real operation. Packet loss on the InfiniBand port kept the device below its expected performance and took three months to fix by firmware, and its engineers could not grasp the whole of the device's specification and behaviour. Sakura Internet concluded that its process for choosing and validating the storage device had serious problems.

Check your cluster for this

These 2 cases involve InfiniBand fabric and BGP routing. 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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