Cases39 cases

29 to 33 of 39

1. IL-0222 Google Cloud US regions had heavy packet loss and some went unreachable after the network control plane was descheduled

   Google Cloud2019

   Symptoms

   On Sunday 2 June 2019, with user impact beginning between 11:47 and 11:49 US/Pacific, Google Cloud projects in several US regions saw elevated packet loss from network congestion, and some regions became unreachable. Customers saw higher latency, intermittent errors and lost connectivity to instances in us-central1, us-east1, us-east4, us-west2, northamerica-northeast1 and southamerica-east1, while us-west1, Europe and Asia had no regional congestion.

   Packet lossNetwork unreachableHigh latencyHigh error rateMonitoring outage

   Trigger

   At 11:45 US/Pacific a relatively rare type of datacenter maintenance event started in one physical location, and the automation that runs it descheduled logical clusters that also held network control plane jobs in other physical locations.

   Root cause

   Software defect

   Component

   Network control plane (SDN)BGP routingBackbone network (WAN)

   Contributing factor

   Excessive blast radiusCircular dependencyLimited debug accessIneffective rollback

   Detection

   Google engineers were alerted to the failure two minutes after it began and started the incident process used for the most serious production incidents. The first customer notice appeared on the status page at 12:53 US/Pacific.

   Remediation

   • Lowered the priority of less critical network traffic classes to reduce congestion
   • Halted the datacenter automation software responsible for the maintenance event
   • Rescheduled the network control plane and its supporting infrastructure in each location
   • Rebuilt and redistributed the lost network control plane configuration, rolling it out from 14:03
   • Directed service traffic away from the affected regions
   • Moved the Cloud VPN control plane in three regions out of its fail-safe state

   Action items

   • Keep the maintenance automation off until safeguards stop it descheduling jobs in several physical locations at once
   • Harden the cluster management software to reject such requests whatever their origin
   • Reconfigure the network control plane to reject maintenance requests of the type involved
   • Make the network control plane in each location persist its configuration
   • Let the network stay in fail static mode longer when the control plane is lost
   • Review, update and test emergency response tooling and procedures, including customer communication tooling, for such network failures
   • Extend continuous disaster recovery testing to this and similarly catastrophic failures

   View case
2. IL-0358 Packet Public Cloud locations had high latency and unreachable paths from routing loops and blackholed traffic

   Packet2019

   Symptoms

   At about 08:49 UTC on 2 June 2019, Packet's internal network monitoring alerted on serious reachability and performance problems in several of Packet's global datacenter locations. The first investigation found routing loops and traffic being blackholed to specific internal and Internet destinations.

   Network unreachablePacket lossHigh latency

   Trigger

   A trans-continental US backbone link in the network of Packet's upstream provider Zayo had a hardware failure and blackholed IP traffic routed over it.

   Root cause

   Dependency failure

   Component

   Backbone network (WAN)BGP routingNetwork control plane (SDN)

   Contributing factor

   –

   Detection

   Packet's internal network monitoring alerted at 08:49 UTC on reachability issues in several global datacenter locations, and engineers confirmed them at 08:52.

   Remediation

   • Migrated traffic to an alternative network and removed Zayo from the provider mix
   • Applied route filters to return service to normal
   • Optimised specific routing policies to improve latency across the backbone with the new traffic mix

   Action items

   • Expand internal connectivity monitoring and alerting of on-call operations teams
   • Expand network automation and routing so traffic can be balanced across all available backbone paths and an operator can trigger automated re-routes across all Packet datacenters in a major provider incident
   • Make Packet's provisioning systems less dependent on third party network providers and inter-datacenter connectivity

   View case
3. IL-0245 Acquia Cloud Enterprise sites in US-East went down when their web servers could no longer reach the Memcache servers

   Acquia2019

   Symptoms

   On 7 February 2019 from 22:17 to 23:25 UTC, some Acquia Cloud Enterprise sites in US-East became unstable or went down for multiple customers. The web servers could not reach the Memcache servers, PHP processes on the web servers were blocked, and the sites became unavailable.

   Service outageNetwork unreachable

   Trigger

   While setting up a temporary file system to store diagnostic data, a rule was deleted by mistake from a VPC security group.

   Root cause

   Operator error

   Component

   VPC route tables and firewall rulesIn-memory cache

   Contributing factor

   Ignored early signal

   Detection

   Acquia's configuration drift alerting fired, but the alert was not seen in time to shorten the outage.

   Remediation

   • Restored the missing rule in the security group by hand

   Action items

   • Correct the internal workflow with all involved teams to prevent similar mistakes
   • Alert internal teams faster about configuration drift in VPC security groups

   View case
4. IL-0472 Node-to-pod traffic and DNS failed on Tinder's 605-node Flannel cluster when every node's ARP cache passed gc_thresh3

   Tinder2019

   Symptoms

   In the early morning of 8 January 2019 Tinder's platform had a persistent outage. Communication from nodes to pods failed, and so did DNS lookups, because DNS ran inside the Kubernetes cluster.

   Service outageNetwork unreachableDNS resolution failures

   Trigger

   Earlier that morning, pod and node counts on the cluster were scaled up in response to an unrelated increase in platform latency.

   Root cause

   Capacity exhaustion

   Component

   Linux kernelCNI plugin

   Contributing factor

   Unreviewed defaults

   Remediation

   • Raised gc_thresh1, gc_thresh2 and gc_thresh3 on the nodes
   • Restarted Flannel so it re-registered the missing networks

   Lessons

   Tinder lists the outage among its learnings about network fabric limits: with Flannel over VXLAN, every node, and every pair of nodes that exchange pod traffic, adds entries to each node's ARP table, so at 605 nodes the default gc_thresh3 hard cap was exceeded on all nodes.

   View case
5. IL-0261 Discord went fully offline twice as short network losses on Google Cloud sessions nodes wedged Erlang distribution

   Discord2017

   Symptoms

   On 17 and 18 November 2017 nodes of Discord's 'sessions' cluster on Google Cloud Platform lost network connectivity for short periods, 16 times in all. Engineers saw a service impact, a node whose service had died and restarted, and pages for low memory on other sessions nodes; twice the failure cascaded and Discord was completely offline for about 30 minutes.

   Network unreachableMemory pressureService outage

   Trigger

   A software change that Google rolled out to the Google Cloud Platform networking stack on Friday introduced a bug that made VMs in Discord's sessions cluster lose network connectivity for short periods.

   Root cause

   Cloud provider outage

   Component

   Service discovery

   Contributing factor

   Limited debug accessHarmful manual action

   Detection

   At 11:52 PST on 17 November engineers noticed a service impact and escalated it in the incident chat. Later affected nodes showed up as pages to the on-call engineer for low memory on sessions nodes, and on 18 November as a page for a networking incident on sessions-1-11 together with issue reports that the customer experience team escalated from support channels.

   Remediation

   • Forcefully terminated sessions nodes whose Erlang distribution port had failed
   • Escalated the Google support ticket to P1 and notified the Technical Account Manager
   • Restarted several core Discord services on 17 November, making clients reconnect over about 20 minutes
   • Began terminating and rebooting the entire sessions cluster after seeing that rebooted machines did not fail again
   • Disabled message sending globally on 18 November to help the service recover
   • Restarted all members of the sessions cluster
   • Re-enabled message sending after the initial all clear
   • Google rolled back the software change made to its networking stack

   Action items

   • Continue the project to improve how Discord's Erlang clusters handle node failure
   • Expand how upgrades to these services are load tested so the rollout can be completed safely
   • Replace the HTTP library used by Discord's Elixir/Erlang services
   • Fix the instability seen in Erlang's net_kernel component
   • Replace the pieces of the service discovery component that degraded with more performant implementations
   • Work with Google on the issues Discord met while working with Google on this incident
   • Expand the internal procedure for communicating with Google so the progress of P1 issues is tracked

   Lessons

   Discord concluded that performance and stability issues in its own system, in Erlang's net_kernel, the service discovery component and the HTTP library, were what turned short network losses on part of the fleet from isolated issues for some users into two full system outages.

   View case

By root cause10