Cases17 cases

5 to 9 of 17

1. IL-0110 A Grafana Agent pod's high memory use and crash-looping Hangfire pods drove a Kubernetes node into system OOM and NotReady, twice in one day

   DFDS2024

   Symptoms

   At 10:01 UTC on 2024-03-13 a Kubernetes node entered NotReady state, with CPU requests at 78% and memory requests at 82%. An alert fired in Slack at 10:03 and was picked up at 10:05. An attempt to SSH into the node at 10:13 failed because it was unresponsive; it started responding again at 10:19.

   Node NotReadyContainer crash loopOOMKilledMonitoring outage

   Trigger

   Pods of a dev container that used Hangfire to trigger jobs failed with OOM and crash-looped on a node where a Grafana Agent pod was already using a lot of memory.

   Root cause

   Capacity exhaustion

   Component

   Telemetry agentContainer memory limitApplication database

   Contributing factor

   Excessive blast radiusNo resource requests or limitsHarmful manual actionMonitoring blind spot

   Detection

   A Slack alert fired two minutes after the node went NotReady and was picked up two minutes later; the second node's NotReady at 15:03 also raised a Slack alert.

   Remediation

   • marked the EC2 instance unhealthy so a new node started
   • cordoned and force-drained the NotReady node and terminated its EC2 instance
   • removed the new LimitRange from the Grafana Agent namespace and restarted the Grafana Agent pod
   • scaled the dev container to 0 replicas, after which EC2 network traffic returned to normal
   • after the second NotReady, scaled the dev container to 0 replicas again and added a new node
   • emailed the team that owns the dev container, which confirmed it was working on a fix

   Action items

   • Move grafana-agent to the monitoring node group
   • Add alerts for when bandwidth across the cluster reaches a certain threshold
   • Investigate whether memory limits can be set on the grafana-agent Helm chart
   • Investigate grafana-agent memory usage
   • Ask Grafana support whether grafana-agent should use a PVC
   • Consider pushing node logs to Loki with limited retention
   • Create a wiki page with common metrics and log queries to check when investigating issues with Kubernetes nodes

   Lessons

   Dev workloads mixed with production let one crash-looping dev container take down nodes that production also used, and a monitoring agent outside its dedicated node group added to the memory pressure. Scaling the suspect container back up before its owners had fixed it brought the failure back on the replacement node. The team also noted that action items from earlier post-mortems need follow-up, and that knowledge of useful CloudWatch metrics had not been shared, which made the diagnosis harder.

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2. IL-0043 Application logs missing in Kibana after a newer Fluent Bit version changed its chunk drop strategy

   UK Ministry of Justice2023

   Symptoms

   At 09:14 on 4 August 2023, users of the Cloud Platform reported in the #ask-cloud-platform Slack channel that Kibana was missing their application logs for long periods.

   Monitoring outage

   Trigger

   The newer Fluent Bit version in use had changed its chunk drop strategy; the fix that followed handled memory buffer overflow.

   Root cause

   Capacity exhaustion

   Component

   Telemetry agent

   Contributing factor

   No alert on limitMonitoring blind spot

   Detection

   Users reported long periods of missing logs in Kibana in the #ask-cloud-platform Slack channel at 09:14; the incident was declared at 10:09.

   Remediation

   • configured Fluent Bit to handle memory buffer overflow by writing buffered logs to the file system
   • made Fluent Bit flush logs in smaller chunks

   Action items

   • Push notifications from the logging clusters to #lower-priority-alerts (#4704)
   • Add an integration test that checks logs are being sent to the logging cluster

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3. IL-0142 GKE clusters on 1.24 and later wrote unexpected fluentbit error entries such as "Failed to get record: decoder: failed to decode payload: EOF" that used up the Logging API write quota for some customers

   Google Cloud2023

   Symptoms

   From 07:13 US/Pacific on 6 July 2023, GKE customers saw unexpected additional error and warning entries in their cluster logs, written to the Cloud Logging project that holds the clusters. Standard and Autopilot clusters at GKE 1.24.x and later were affected.

   Log flood

   Trigger

   Google rolled out a new version of the GKE component that processes logs (preliminary analysis).

   Root cause

   Faulty deployment

   Component

   Telemetry agent

   Contributing factor

   –

   Remediation

   • gave customers a workaround: request a Logging API quota increase, or apply a log exclusion for the fluentbit-gke messages
   • rolled out a fix gradually to the affected clusters between 10 and 18 July 2023

   Lessons

   Log messages written by a managed logging agent count against the customer's own Logging API write quota and logging bill, so a faulty agent release can drop a customer's other logs. A log exclusion on the agent's container name and the message patterns keeps the noise out of storage until a fix arrives.

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4. IL-0083 Intermittent 5xx errors in a multi-tenant Kubernetes cluster came from internal DNS: the node-local dnsmasq hit its 150 concurrent query limit, did not cache cluster.local answers, and ndots search lookups flooded CoreDNS

   Adevinta2023

   Symptoms

   On a Friday afternoon a tenant of SCHIP, Adevinta's multi-tenant Kubernetes runtime, reported a spike of HTTP 5xx errors in some of its services. The drops in quality of service came back periodically through the following days, each one short, and were reported mostly around midnight.

   High error rateDNS resolution failuresHigh latency

   Root cause

   DNS or network fault

   Component

   CoreDNSClient-side DNS resolver and cacheTelemetry agent

   Contributing factor

   Unreviewed defaultsUnknown limitIgnored early signalUnverified assumption

   Detection

   A tenant reported a spike of HTTP 5xx errors in some of its services; the DNS Latency SLI had already been degraded for some time without being acted on.

   Remediation

   • raised the dnsmasq concurrent query limit from 150 to 1500
   • added a CoreDNS header block that sets the ra and aa flags and clears rd, so dnsmasq caches cluster.local answers
   • configured dnsmasq on each node to answer NXDOMAIN for unresolvable search-domain names instead of forwarding them to CoreDNS
   • changed the fluent-bit log router hostname to a fully qualified name
   • asked the affected tenants to use fully qualified names for internal calls

   Lessons

   The DNS Latency SLI had shown the problem long before anyone looked at it. An SLO only protects you when its SLIs are trusted and a drop is investigated. The investigation took a month partly because several on-call groups worked on it separately, without one place for observations and hypotheses, and sometimes chased hypotheses already discarded. Disprove one hypothesis before starting the next, and collect data the metrics system lacks: DNStop showed the garbage lookups that no dashboard did. With ndots:5, short service names multiply DNS traffic; a node-local cache only helps if it can cache the cluster DNS answers at all.

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5. IL-0174 After an upgrade to Fluent Bit 2.0, logging sidecars that used the Kafka output plugin kept restarting with SIGSEGV because the plugin read a corrupted record as a map without checking its type

   Hyperconnect2023

   Symptoms

   Hyperconnect upgraded the Fluent Bit sidecar of one service with little user impact to Fluent Bit 2.0 and watched it for several days. Only the containers that used the Kafka output plugin were being restarted, each time on SIGSEGV. The stack trace printed at the crash pointed into the Kafka output plugin, but no core file was left behind, because Fluent Bit ran inside Kubernetes.

   Container crash loop

   Trigger

   Upgrading the Fluent Bit logging sidecar to version 2.0 (the 2.0.3 image) on a service with low user impact.

   Root cause

   Software defect

   Component

   Telemetry agent

   Contributing factor

   Limited debug access

   Detection

   The team monitored the upgraded sidecars for several days after the upgrade and saw that the containers using the Kafka output plugin were restarting with SIGSEGV.

   Remediation

   • patched the Fluent Bit Kafka output plugin to skip data that is not a map before calling produce_message()
   • ran a custom build with the patch as the sidecar, which stopped the segmentation faults
   • submitted the patch upstream as fluent-bit pull request 6452, which was merged eight days later

   Lessons

   A segmentation fault in a container can be debugged from its core file, but Kubernetes does not keep one by default: a volume mounted into the pod and a core_pattern pointing into it on the node are needed first. The debug image of the same version, run locally on the same CPU architecture with the matching source checkout, gives a gdb environment that matches production. Core files contain part of the process memory and may hold sensitive data, so they should be shared with care.

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