Incident Library
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  • Root cause
  • Component
  • Symptom
  • Contributing factor
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Cases11 cases

11 to 11 of 11

  1. Symptoms

    From 12:47 AM PDT on 21 April 2011, a subset of Amazon EBS volumes in one Availability Zone of the US East Region could no longer serve reads or writes, and EC2 instances that tried to use them got stuck as well. AWS called these "stuck" volumes. EBS API calls across the whole US East Region also returned high error rates and latencies during two periods on the first day.

    Trigger

    During a routine network change to upgrade the capacity of the primary EBS network in one Availability Zone, traffic was to be shifted off one of the redundant routers. The shift was executed incorrectly and sent the traffic onto the lower-capacity replication network instead of the other primary router, which could not carry it.

    Root cause
    Component
    Contributing factor
    Remediation
    • Rolled back the incorrect traffic shift, which restored network connectivity
    • Disabled all new Create Volume requests in the affected Availability Zone at 2:40 AM PDT
    • Disabled all communication between the degraded EBS cluster and the EBS control plane from 8:20 AM PDT
    • Stopped EBS servers in the degraded cluster from futilely contacting other servers for free space
    • Changed the EBS control plane so new EBS-backed instance launches stopped failing
    • Moved spare server capacity physically from across the US East Region into the degraded cluster
    • Adjusted the negotiation throttles so the new servers could join without flooding the old ones
    • Built a separate EBS control plane partitioned to the affected zone and finer-grained throttles, then processed the backlog
    • Restored the remaining volumes from S3 snapshots taken early in the event
    • Restored volumes on failed machines that had no snapshot after forensic work
    • Intervened by hand on the RDS multi-AZ instances that did not fail over automatically
    Action items
    • Audit the change process and add automation to prevent the traffic shift mistake
    • Change capacity planning and alarming to keep the extra safety capacity needed for large recovery events
    • Change the retry logic in EBS nodes to back off harder and reconnect to previous replicas instead of searching for new nodes
    • Test and deploy the fix for the race condition that crashed EBS nodes
    • Fix the RDS bug that kept multi-AZ instances from failing over automatically
    • Improve the EBS control plane timeout logic to prevent thread exhaustion when one zone's cluster is slow
    • Make the EBS control plane aware of Availability Zones so it sheds load when over capacity
    • Move more EBS control plane functions into per-cluster services that run in the same zone as the cluster
    • Offer multiple Availability Zones to Amazon VPC customers
    • Provide better tools for building multi-AZ applications that survive the loss of a zone
    • Host free webinars and publish whitepapers on fault-tolerant architecture
    • Build the fine-grained control and throttling used in recovery into the EBS nodes and automate the recovery models
    • Look at changes that keep volumes working while a cluster is degraded, including the ability to take a snapshot of a stuck volume
    • Send more frequent and detailed customer updates and staff developer support more widely during events
    • Develop tools that show through the APIs whether instances are impaired
    Lessons

    AWS writes that with more spare capacity the cluster would have absorbed the re-mirroring requests without a storm, and that it now understands how much capacity large recovery events need. The event also showed that the EBS control plane let a failure in one Availability Zone affect the others, so more work is needed to make zones behave as if completely independent. AWS adds that some customers had critical components in a single zone, and that multi-AZ deployments need to become easier to design and run.

Check your cluster for this

These 11 cases involve Database and Message broker. 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 cause7

Dependency failure2 cases

  1. IL-0515 Downloads from files.pythonhosted.org failed with intermittent 502 and 503 errors for two weeks, breaking PyPI installs
  2. IL-0255 Basecamp's two redundant links between data centers dropped together and a Redis replica resync loop stalled chat

Operator error3 cases

  1. IL-0286 An exercise cleanup destroyed Honeycomb's Kafka brokers, leaving partitions leaderless and ingest crash-looping
  2. IL-0280 Kafka brokers in many New Relic cells ran out of disk, leaving US data collection and alerting unusable for hours
  3. IL-0337 EBS volumes in one US East Availability Zone got stuck after a network change cut EBS nodes off from their replicas

Faulty deployment2 cases

  1. IL-0214 PagerDuty's Kafka brokers ran out of JVM heap one after another, and the event APIs rejected events with 502 responses
  2. IL-0324 Three MediaWiki deployments lost Memcached after a PHP 8.1 rollout and overloaded the External Storage database cluster

Software defect1 case

Organisation
  1. IL-0359 Queries to Gandi LiveDNS timed out when two crashed anycast DNS nodes kept announcing all three name server addresses
    Gandi2020

Configuration change1 case

Organisation
  1. IL-0365 A Terraform change to auto-scaling groups detached all worker nodes from both ALBs and cut off every cluster service
    DFDS2020

Capacity exhaustion1 case

Organisation
  1. IL-0211 A Mandrill PostgreSQL shard shut down at transaction ID wraparound and email sending was impaired for about 40 hours

Cloud provider outage1 case

Contributing factor
  1. IL-0399 Applications on GOV.UK PaaS in AWS eu-west-1 failed DNS lookups intermittently for about two hours overnight