Incident Library
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Cases2 cases

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  1. Symptoms

    At 11:48 PM PDT on 19 October 2025, every system that reached DynamoDB in us-east-1 through the public regional endpoint started getting DNS failures and could not connect. This included customer traffic and internal AWS services that depend on DynamoDB. DynamoDB global table replicas in other regions still answered but fell behind in replication to and from us-east-1.

    Trigger

    One DNS Enactor, slowed by unusually high retry delays, applied a much older DNS plan to the regional DynamoDB endpoint just as another Enactor that had applied the newest plan ran its clean-up, which deleted that older plan and with it every IP address of the endpoint.

    Root cause
    Component
    Contributing factor
    Detection

    DNS failures to DynamoDB began immediately at 11:48 PM PDT and the engineering teams of affected AWS services were engaged at once; by 12:38 AM they had identified DynamoDB's DNS state as the source. The later NLB health check problem was detected by monitoring at 6:52 AM.

    Remediation
    • applied temporary mitigations by 1:15 AM that let some internal services reach DynamoDB and repaired key internal tooling
    • restored all DynamoDB DNS information by 2:25 AM through manual operator intervention
    • throttled incoming work and selectively restarted DWFM hosts from 4:14 AM so droplet leases could be re-established
    • reduced the load on Network Manager to bring network configuration propagation times back to normal by 10:36 AM
    • disabled automatic health check failover for NLB at 9:36 AM, and re-enabled it at 2:09 PM after EC2 recovered
    • relaxed the EC2 request throttles from 11:23 AM until all EC2 APIs and launches were normal at 1:50 PM
    Action items
    • Disable the DynamoDB DNS Planner and DNS Enactor automation worldwide
    • Fix the race condition and add protections against applying incorrect DNS plans before re-enabling the DNS automation
    • Add a velocity control to NLB that limits how much capacity a single load balancer can remove when health check failures cause availability zone failover
    • Build an additional EC2 test suite that exercises the DWFM recovery workflow at scale
    • Improve throttling in EC2 data propagation systems so incoming work is rate limited by the size of the waiting queue
    Lessons

    A single DNS record that automation can empty is enough to take a widely used regional endpoint off the network, and every service built on it fails in turn. A check made once at the start of a long operation can be stale by the time the operation writes its result. Recovery of the dependency is not recovery of the dependents: systems that lost state during the outage, such as EC2's droplet leases and network propagation backlog, can collapse under their own catch-up work, and container services that rely on new instance launches keep failing to launch and scale until that work is done.

  2. Symptoms

    From 11:49 AM PDT on 13 June 2023, Lambda function invocations in the Northern Virginia (us-east-1) Region returned more errors and took longer. Customers that triggered functions from asynchronous or streaming event sources saw their event backlogs grow because the events were not being processed.

    Trigger

    At 11:49 AM PDT, while adding capacity for normal daily traffic growth, the Lambda Frontend fleet in one cell crossed a capacity threshold that no single cell had reached before.

    Root cause
    Component
    Contributing factor
    Detection

    Engineering teams were engaged immediately and began investigating; by 12:26 PM PDT they had identified the latent defect and its effect on provisioning compute capacity.

    Remediation
    • scaled the Lambda Frontend fleet down to a size that no longer triggered the latent defect
    Action items
    • Disable the Lambda Frontend scaling activities that triggered the event
    • Fix the latent bug and deploy the fix to all Regions
    • Complete action items addressing the immediate concern with cellular scaling
    • Bound all cells to a well-tested size to avoid unexpected scaling issues
    Lessons

    A fleet that scales automatically can grow into a size that was never tested, and a defect that only appears at that size stays hidden until ordinary daily growth reaches it. AWS's answer is to cap every cell at a well-tested size. For EKS users, the event shows that provisioning new clusters in us-east-1 depended on Lambda, while clusters that were already running were not affected.

Check your cluster for this

These 2 cases involve Cloud load balancer and Application database. 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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