Incident Library
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Cases2 cases

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  1. Symptoms

    At about 17:00 JST on Thursday 16 July 2026, Datadog alerted, and at almost the same time 5xx errors began to rise on the Amazon CloudFront distributions that used VPC Origins connections. Builder Work, ANDPAD's job and career service for the construction industry, became almost entirely unreachable.

    Trigger

    The Amazon CloudFront VPC Origins feature failed; AWS Health later reported a capacity constraint in an internal shared subsystem that manages connections for VPC Origins.

    Root cause
    Component
    Contributing factor
    Detection

    Datadog raised an alert, and at about the same time 5xx errors were seen rising on the CloudFront distributions that used VPC Origins.

    Remediation
    • Decided to route traffic temporarily through an internet-facing ALB without CloudFront
    • Recreated the internet-facing Ingress, attached it to the Argo Rollouts Rollout resource and promoted it
    • Created a regional WAF for the ALB with the security team
    • Created a new IngressClass with the ACM certificate, the WAF and access log settings
    • Added Ingresses for normal traffic, the admin screens and redirects, which restored routing
    Action items
    • Return to the CloudFront and VPC Origins layout while keeping a way to switch to internet-facing in code
    • Keep the internet-facing ALB, limited to approved CIDRs through spec.inboundCIDRs in IngressClassParams, so commenting out securityGroupInboundCidrs in values.yaml opens it to 0.0.0.0/0
    • Point the Terraform-managed Route53 A record back to CloudFront and keep the ALB alias commented out in code, so uncommenting and applying switches DNS to the ALB
    Lessons

    VPC Origins keeps the ALB off the internet and simplifies the traffic path, but it makes the service depend on an AWS-managed shared subsystem, and when that fails the service stops even though CloudFront is healthy. ANDPAD kept VPC Origins and instead prepared the escape route ahead of time, accepting the cost of an ALB that always runs, because recreating the Ingress and attaching it to the Rollout had taken so long during this incident.

  2. Symptoms

    On 22 June 2021, within minutes of an update released at 8:25 AM UTC, bunny.net's global fleet of close to 100 DNS servers kept crashing and restarting, more than 60% of traffic was lost, hundreds of Gbits of throughput disappeared, and over 750,000 websites were affected. After 10 minutes the team realised that the DNS servers were restarting and dying and that nothing could bring them back up in that state.

    Trigger

    At 8:25 AM UTC bunny.net released an update meant to reduce the download size of the SmartEdge optimization database, and it uploaded a corrupted file to Edge Storage.

    Root cause
    Component
    Contributing factor
    Detection

    About 10 minutes after the release, the team realised that the DNS servers were restarting and dying.

    Remediation
    • Deployed by hand an update that disabled the SmartEdge system on the DNS nodes
    • Routed all requests through Frankfurt instead of Madrid on a couple of DNS servers
    • Migrated the deployment systems and files to a third-party cloud storage service
    • Rewired the deployment system and DNS software to the new storage and deployed
    • Synced the databases and deployed the newest file sets through the third-party service
    Action items
    • Phase out the BinaryPack library as a hot-fix
    • Test third-party libraries more extensively
    • Migrate the internal APIs to an independent third-party service
    • Find how to stop non-critical software from becoming a single point of failure across clusters
    • Make the DNS system keep a local copy of all backup data with automatic failure detection
    Lessons

    bunny.net had built its systems to rely on each other, including the critical parts of its internal infrastructure, so one corrupted file brought down several layers of redundancy with no way back. A part of the infrastructure treated as non-critical turned out to be a single point of failure for several clusters at once, which canary deployments did not catch. Building infrastructure inside its own ecosystem lets one failure cascade through all of it. In the rush to fix the outage the team made typos and mistakes, and the final deployment came after it calmed down and double-checked everything.

Check your cluster for this

These 2 cases involve CDN and edge network and Cloud load balancer. 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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