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PASSEDcloud / container_registry_rate_limit

Container Registry Rate Limit Exceeded — Deployments Blocked

A Kubernetes cluster's nodes are all pulling images from Docker Hub simultaneously during a rolling deployment, exceeding the Docker Hub rate limit (100 pulls/6 hours for anonymous, 200 for authenticated). All image pulls fail with 429 Too Many Requests, blocking deployments and pod restarts across the cluster.

Pattern
CONTAINER_EVENT
Severity
CRITICAL
Confidence
95%
Remediation
Auto-Heal

Test Results

MetricExpectedActualResult
Pattern RecognitionCONTAINER_EVENTCONTAINER_EVENT
Severity AssessmentCRITICALCRITICAL
Incident CorrelationYes18 linked
Cascade EscalationN/ANo
RemediationAuto-Heal — Corax resolves autonomously

Scenario Conditions

30-node K8s cluster. Rolling deployment of 15 services simultaneously. Docker Hub rate limit: 200 pulls/6 hours (authenticated). All nodes sharing same Docker Hub credential. Image pull rate: 450 pulls in 2 hours. All new pods stuck in ImagePullBackOff.

Injected Error Messages (2)

kubelet image pull failures across cluster — 30 nodes all receiving HTTP 429 from Docker Hub, registry rate limit exceeded for authenticated pulls (200/6hr limit, 450 attempted), image pull back-off on all new pod scheduling, 15 deployments stuck in rollout, notready pods across all namespaces, container restart failing due to inability to pull updated images
payment-service deployment blocked — pod 'payment-service-v2-8d7f6' in ImagePullBackOff state, kubelet event: 'Failed to pull image docker.io/company/payment-service:v2.4.1 — rate limit exceeded, retry after 14400 seconds', rollout stuck at 2/8 desired replicas, image pull back-off delay increasing exponentially, all container image pulls failing cluster-wide

Neural Engine Root Cause Analysis

The Kubernetes cluster is experiencing a complete service disruption due to Docker Hub rate limiting. All 30 nodes are hitting HTTP 429 errors when attempting to pull container images, indicating the cluster has exceeded Docker Hub's authenticated rate limit of 200 pulls per 6-hour window (with 450 attempted pulls). This is preventing new pod scheduling, blocking deployments, and causing container restart failures across all namespaces, effectively rendering the production cluster non-functional.

Remediation Plan

1. Immediately configure alternative container registries (AWS ECR, Azure ACR, or GCR) as fallback mirrors in kubelet configuration. 2. Update image pull policies to 'IfNotPresent' to reduce unnecessary pulls. 3. Implement image caching strategies using tools like registry mirrors or pull-through caches. 4. Configure Docker Hub authentication with higher rate limits or multiple service accounts for load distribution. 5. Restart kubelet services on all nodes to apply new registry configurations. 6. Monitor pod scheduling recovery and verify deployments can proceed normally.
Tested: 2026-03-30Monitors: 2 | Incidents: 2Test ID: cmncke03i08tkobqe1ljp8q6h