Cases3 cases
1 to 3 of 3
IL-0350Hosts in an IONOS TXL cluster lost connectivity when an InfiniBand fabric resweep failed on a full multicast tableIONOS 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.
- 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.
IL-0347About 25% of Scaleway FR-PAR-1 hypervisors lost VPC connectivity when both VPC BGP route reflectors got stuckScaleway2024- 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.
- 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
- Component
- Contributing factor
- 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
IL-0530Virtual router controllers in us-central1 ran out of memory in a loop, cutting networking for new and migrated VMsGoogle 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.
- 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
- Component
- Contributing factor
- 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
These 3 cases involve Network control plane (SDN) 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.
By root cause3
Capacity exhaustion1 case
- Component
- Contributing factor
- Organisation
Software defect1 case
- Component
- Contributing factor
- Organisation
Faulty deployment1 case
- Contributing factor
- Organisation