Cases5 cases

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1. IL-0465 IONOS Container Registry image pushes and pulls failed with 504 Gateway Timeout

   IONOS Cloud2026

   Symptoms

   On 4 March 2026 customers of the IONOS Container Registry got 504 Gateway Timeout errors when pushing or pulling container images, and deployments that relied on the registry were blocked. The status page first reported an increased error count on the registry at 09:23 UTC, saying customers might be unable to pull images.

   Image pull failuresHigh error rate

   Trigger

   A migration combined with a temporary capacity constraint placed two critical control plane components on the same proxy instance, despite anti-affinity rules; the shared proxy then reached its concurrent connection limit.

   Root cause

   Capacity exhaustion

   Component

   Container registry and its credentialsManaged Kubernetes control plane and provider APIPod scheduling and placement

   Contributing factor

   No headroomSingle point of failureNo alert on limit

   Remediation

   • Rolled back a component of the Kubernetes control plane to an earlier version
   • Provisioned additional proxy capacity
   • Moved the affected control plane components onto separate proxy instances

   Action items

   • Redesign registry-to-API connectivity so each node uses its own local proxy
   • Adjust alert thresholds to warn before proxy connection use approaches capacity
   • Deploy more infrastructure clusters and redistribute registries so no cluster exceeds safe capacity, with automation that keeps balancing load

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2. IL-0517 Gitpod workspaces failed to start worldwide and lost data when CoreDNS lookups to 8.8.8.8 timed out in its clusters

   Gitpod2022

   Symptoms

   At around 5.44pm UTC on 25 January 2022, Gitpod saw a high error rate when pulling images from Google Container Registry (gcr.io), with the error "cannot get manifest". About 10 minutes later users reported that they could not start workspaces.

   Image pull failuresDNS resolution failuresService outageData loss

   Root cause

   DNS or network fault

   Component

   CoreDNSContainer registry and its credentialsObject storage

   Contributing factor

   Single point of failure

   Detection

   The team noticed a high error rate on image pulls from GCR at around 5.44pm UTC; about 10 minutes later users reported that workspaces would not start, and the on-call team started incident response.

   Remediation

   • Created new workspace clusters in the EU and the US with a werft job
   • Redirected traffic to the new clusters

   Action items

   • Keep workspace data on cloud provider persistent volumes that survive node and cluster failures
   • Let users download their files from a workspace that cannot be started
   • Improve the workspace backup process
   • Use three DNS servers instead of one: a GCP-internal one, 8.8.8.8 and Cloudflare's 1.1.1.1
   • Do more DNS resiliency work, tracked in an epic
   • Improve support for multi-region clusters and later go multi-cloud

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3. IL-0199 A non-essential container exceeding its memory limit made GitHub's production pods unavailable, and their restarts failed because a DNS maintenance change had left the clusters unable to reach the image registry

   GitHub2020

   Symptoms

   At 08:18 UTC on 13 July 2020, production Kubernetes pods began to be marked unavailable. The loss of pods spread through the clusters and reduced capacity until GitHub.com services went down.

   OOMKilledImage pull failuresService outage

   Trigger

   A container in the production pods exceeded its memory limit and was terminated; a routine DNS maintenance operation completed earlier had left the clusters unable to reach the image registry.

   Root cause

   DNS or network fault

   Component

   Container memory limitContainer registry and its credentials

   Contributing factor

   Overlapping failuresHarmful manual actionSingle point of failure

   Remediation

   • restarted the process with the cached DNS records so the clusters could reach the registry
   • fetched the container images, redeployed and recovered the services

   Action items

   • Improve monitoring so pod restarts cannot fail again in the same pattern
   • Minimise the dependency on the image registry
   • Expand validation during DNS changes
   • Re-evaluate all existing Kubernetes deployment policies
   • Improve progressive deployments so the impact of a deployment can be evaluated incrementally

   Lessons

   A container that production traffic does not need can still take pods out of service, because a pod is available only when all of its containers are healthy. ImagePullPolicy Always turns every container restart into a registry dependency, so an unrelated DNS change that breaks registry access turns a one-minute self-healing event into a long outage, and a mass redeploy spreads it.

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4. IL-0037 Image registry rate-limited a whole region after a crash-looping DaemonSet with imagePullPolicy Always pulled through three NAT instances

   Datadog2019

   Symptoms

   Users reported that their jobs were not starting, with some sign that image pulls were involved. Many pods across the cluster were in error states related to image pulls, while applications that were already running were not affected.

   Image pull failuresService outage

   Trigger

   A change to the permissions on a storage bucket that one application needed to read. The application could no longer start, and its DaemonSet, running on roughly a thousand nodes of the cluster, went into a crash loop with imagePullPolicy: Always, so every restart pulled the image again although it was already on the node.

   Root cause

   Capacity exhaustion

   Component

   Container registry and its credentialsNAT gatewayDatabaseAdmission webhook

   Contributing factor

   Automation amplificationSingle point of failureUnknown limitHarmful manual actionExcessive blast radius

   Detection

   Users reported that their jobs were not starting; monitoring had not caught it first.

   Remediation

   • replaced the affected NAT instances so registry traffic came from new source IPs
   • reconfigured the static IPs and firewall rules so applications could reach the Cloud SQL database again

   Action items

   • Add an admission webhook that rejects floating image tags, starting with latest
   • Apply the image tag webhook to workload objects only, not to pods, after it blocked pods created by in-cluster controllers

   Lessons

   The speakers' takeaway is to be very careful with DaemonSets in large clusters: they say they had broken everything DaemonSets depend on, including DNS, Vault and the image repository, and that it is very easy to break things when managing them by the thousand. imagePullPolicy: Always made every crash-loop restart pull the image again. Sending all registry traffic through three NAT instances put the whole region behind three source IPs, which the registry rate-limited, and changing those IPs cut the connections to a critical database reached over the internet through them. An admission webhook on pods rejects the pods that controllers in the cluster create, where no user sees the error.

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5. IL-0040 Parallel Helm installs saturated small gp2 root volumes on a kops cluster and left all three workers NotReady with the kubelet or Docker down

   Saltside2017

   Symptoms

   While running the CI process on a local machine to test an application Helm chart, the SRE lead watched the pods with watch kubectl get pods. All pods reached Running, and then some went back to Pending. Two hours later the problem had grown and some pods showed the phase Unknown.

   Pods PendingImage pull failuresNode NotReadyService outage

   Trigger

   A CI run installed the application's Helm charts for all four markets (Efritin.com, Tonaton.com, Ikman.lk and Bikroy.com) on the nonproduction cluster at the same time.

   Root cause

   Capacity exhaustion

   Component

   Node root diskkubeletContainer runtimeHelm

   Contributing factor

   Unreviewed defaultsMonitoring blind spotIgnored early signalSingle point of failure

   Detection

   The SRE lead saw pods go from Running back to Pending while watching kubectl get pods during the CI run; no monitoring raised an alert, even when all three workers were not ready.

   Remediation

   • terminated the three worker nodes and let the auto scaling group replace them

   Action items

   • Fix the Datadog integration for the nonproduction AWS account and repeat the installs with telemetry
   • Increase the worker root EBS volumes from 20GB to 120GB
   • Keep common base images pulled on every node with a DaemonSet until kops supports user hooks
   • Configure different allocation limits for the different layers in Kubernetes
   • Discuss a highly available Tiller with the Helm team
   • Find a way to throttle the number of newly created pods

   Lessons

   An ordinary deploy of the application could collapse the cluster, because the default 20GB gp2 root volumes could not keep up with parallel image pulls and container starts. Without node metrics and pod phase metrics, three NotReady workers raised no alert. A single Tiller replica can block the deploy that would fix an outage.

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