Cases12 cases

1 to 5 of 12

1. IL-0350 Hosts in an IONOS TXL cluster lost connectivity when an InfiniBand fabric resweep failed on a full multicast table

   IONOS Cloud2026

   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.

   Network unreachableLink flappingService outage

   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

   Capacity exhaustion

   Component

   InfiniBand fabricNetwork control plane (SDN)BGP routingNIC, cable and switch port linkModel hubDatabase

   Contributing factor

   Automation amplificationExcessive blast radius

   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.

   View case
2. IL-0349 IONOS Private Cloud in Berlin lost management access, storage and VM internet routing after a VLAN change

   IONOS Cloud2026

   Symptoms

   On 15 January 2026, network services for VMware-based Private Clouds in IONOS Cloud's Berlin location stopped working: customers lost management VPN access and traffic to and from their virtual machines. Inside IONOS, several management interfaces in the Berlin region could no longer be reached.

   Network unreachableStorage disconnected or stale mounts

   Trigger

   During a planned maintenance window to add a new VLAN to the management devices, a human error in the command replaced the existing VLANs on the trunk between the core and management devices instead of adding to them, so only the new VLAN stayed active.

   Root cause

   Operator error

   Component

   Network switchTransit gateway or network interconnect

   Contributing factor

   Excessive blast radiusNo safeguard on destructive change

   Remediation

   • Restarted the affected storage services in the final stage of recovery, which caused a brief second outage

   Action items

   • Audit the management device architecture to segment it better (target Q3 2026)
   • Evaluate and implement ways to prevent unintended VLAN changes, such as improved configuration safeguards or automation scripts (target Q1 2026)

   View case
3. IL-0347 About 25% of Scaleway FR-PAR-1 hypervisors lost VPC connectivity when both VPC BGP route reflectors got stuck

   Scaleway2024

   Symptoms

   On 18 October 2024, from 7:50 to 8:01 UTC, about 25% of the hypervisors in Scaleway's FR-PAR-1 availability zone lost VPC connectivity with the rest of the region, and products that use VPC failed with them. Public internet connectivity and Elastic Metal VPC connectivity were not affected.

   Network unreachablePacket lossNode NotReady

   Trigger

   At 6:20 UTC a Top of Rack switch in FR-PAR-1 had a software crash. One of the two BGP route reflectors for VPC ran on a hypervisor in that rack and was left in an abnormal state.

   Root cause

   Software defect

   Component

   Network control plane (SDN)BGP routingNetwork switchDatabaseManaged Kubernetes control plane and provider API

   Contributing factor

   Excessive blast radiusAutomation amplification

   Detection

   Health-check monitoring on both route reflectors detected the anomaly, and the Scaleway Customer Excellence and SRE teams detected the customer impact and opened an incident.

   Remediation

   • Fixed both VPC route reflectors by manual action

   Action items

   • Fixed the autohealing mechanism that had failed to fix route reflectors stuck in a stale state; the fix is https://github.com/FRRouting/frr/pull/17163
   • Run different software versions on the route reflectors so a single bug cannot stop several instances
   • Investigate the software issue that left the route reflectors in a stale state

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4. IL-0529 New Google Cloud VMs and other instances came up without network connectivity in all zones after VPC controllers stopped

   Google Cloud2024

   Symptoms

   From 15:22 US/Pacific on 16 May 2024, new VMs and other new instances across Google Cloud came up without network programming, so the new instances could not open network connections, and VMs that were migrated or restarted lost connectivity. Changes to virtual network configuration, such as firewall rules and load balancers, were not applied. Internal monitoring alerted Google engineers at 15:41.

   Network unreachablePacket lossCluster or node provisioning stallScale-up failureHigh error rate

   Trigger

   Google's infrastructure team ran a routine maintenance action meant to shut down one unused VPC Controller in a single Google Cloud zone, and the automation shut down VPC controllers in all zones where the controllers were still in use.

   Root cause

   Software defect

   Component

   Network control plane (SDN)Cloud load balancerNAT gateway

   Contributing factor

   Change with a delayed effectIgnored early signalNo safeguard on destructive changeExcessive blast radius

   Detection

   Internal monitoring alerts reached Google engineers at 15:41 US/Pacific, and the investigation started immediately.

   Remediation

   • Paused maintenance operations to prevent the shutdown from repeating
   • Brought the affected VPC Controllers back into a serving state in every zone
   • Stopped the automation responsible for the shutdown until safeguards are in place
   • Recovered partial Apigee proxy deployments by hand
   • Cleaned up VMs left behind by failed Dataproc cluster deletions

   Action items

   • Add safety measures that check that maintenance operations carry correctly scoped zone information
   • Make the underlying tools reject maintenance operations that do not specify zones
   • Tighten on-demand access control so one maintenance invocation cannot work across multiple zones
   • Add safety checks, testing and validation for maintenance operations, including positive and negative test cases for the new safety measures

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5. IL-0530 Virtual router controllers in us-central1 ran out of memory in a loop, cutting networking for new and migrated VMs

   Google Cloud2023

   Symptoms

   On 5 October 2023 in us-central1, newly created VMs waited a long time before their networking worked, and VMs that had been live migrated lost connectivity for a long time after the migration. Networking telemetry showed cross-region packet loss to and from us-central1 from 03:08 US/Pacific. Health check state of VMs reached load balancers late.

   Packet lossNetwork unreachableOOMKilledStale endpoint routingCluster or node provisioning stall

   Trigger

   A management plane behaviour change, meant to decouple the processing of API updates to Instance Groups and Network Endpoint Groups used as load balancer backends, was deployed in us-central1 after rolling out to several other regions without incident.

   Root cause

   Faulty deployment

   Component

   Network control plane (SDN)Cloud load balancer

   Contributing factor

   Excessive blast radiusNo alert on limit

   Detection

   Engineers were alerted to slowness in the virtual network control plane in us-central1 at 21:45 US/Pacific on 4 October, before the packet loss started, and to controller failures from memory exhaustion at 02:11 on 5 October. Networking telemetry showed cross-region packet loss from 03:08.

   Remediation

   • Increased the memory allocated to the virtual network router controllers
   • Rolled back the management plane change in us-central1
   • Restarted by hand the routers that were still not accepting updates

   Action items

   • Alert proactively on memory risks and unexpected memory increases
   • Refactor the deployment configuration so engineers can reallocate memory much faster
   • Re-evaluate existing practices and add safety mechanisms for API reconciliation
   • Make management plane changes more visible across teams so the changes can be correlated faster
   • Adjust the deployment footprint so a regional API change is less likely to exhaust memory across the region at once
   • Optimise memory use in the traffic routers and their controllers

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