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Pod network duplication

Duplicate a configurable percentage of packets on a target Kubernetes pod's network namespace to test idempotency and dedup behavior.

Pod network duplication is a Kubernetes pod-level chaos fault that duplicates a configurable percentage of packets on the network path serving a target pod for a configurable duration. The receiver gets two copies of selected packets, which exercises TCP duplicate-segment handling and application-level dedup logic. Only the selected pods are affected; other pods on the node and the node's host networking are unaffected.

Use this fault to test how a service behaves when the network delivers duplicates: link flapping, mis-configured equal-cost multi-path (ECMP) routing, retransmit storms from an upstream proxy, or middleboxes that mirror traffic.

RUN YOUR FIRST EXPERIMENT

If you have not configured the chaos infrastructure yet, go to Quickstart to install the chaos infrastructure and run an experiment end to end.

Use cases

Run this fault when you want to answer concrete questions like:

  • Idempotency of writes: Do duplicate requests on a non-idempotent API double-charge customers, double-publish events, or otherwise corrupt state?

  • UDP dedup: For DNS, QUIC, and custom UDP protocols, do clients dedup duplicate responses correctly, or do they get confused?

  • Mesh and proxy behavior: Do service mesh sidecars and load balancers drop the duplicates they receive, or do they forward them upstream?

  • Event-driven dedup: If your event bus uses at-least-once delivery, duplicates on the wire add to the workload. Does the consumer dedup using message IDs, or does it process the same event twice?

Prerequisites

  • Kubernetes version: 1.21 or later. Go to What's supported to confirm distribution support.

  • Target pods are Running: The application pods you intend to target are in the Running state before the fault is launched.

  • Privileged pods allowed: The cluster lets you schedule privileged pods in the chaos namespace.

  • Workload selector defined: The chaos experiment knows the target workload by kind, namespace, and either names or labels.

Supported environments

Platform
Support status

Amazon EKS

Supported

Azure AKS

Supported

Google GKE

Supported

Red Hat OpenShift

Supported

Rancher

Supported

VMware Tanzu

Supported

Self-managed Kubernetes (CNCF-certified)

Supported

GKE Autopilot

Supported with Autopilot setup

EKS Fargate, ACI virtual nodes

Not supported (no access to container runtime sockets)

Permissions required

The fault runs under the chaos infrastructure's service account.

Resource (apiGroup)

Verbs

Why it is needed

pods ("")

get, list, create, delete, deletecollection, patch, update

Discover target pods and run the chaos pod on the same node

pods/log ("")

get, list, watch

Stream chaos pod logs for status and debugging

deployments, statefulsets, replicasets, daemonsets (apps)

get, list

Resolve the target workload to the pods it owns

events ("")

get, list, create, patch, update

Record fault progress as Kubernetes events

jobs (batch)

get, list, create, delete, deletecollection

Run the chaos job that drives the fault

The default Harness chaos infrastructure service account already includes these permissions.

Fault tunables

Configure the following fault parameters when you add Pod network duplication to an experiment in Chaos Studio. Defaults are shown for reference.

Chaos parameters

Tunable
Description
Default

NETWORK_PACKET_DUPLICATION_PERCENTAGE

Percentage of packets to duplicate on the matched flows. 100 duplicates every packet; 50 duplicates half.

100

CORRELATION

Duplication correlation as a percentage. 0 makes each packet independent; higher values clump duplicates.

""

TOTAL_CHAOS_DURATION

Duration of the fault in seconds.

60

Traffic filters

Tunable
Description
Default

DESTINATION_IPS

Comma-separated list of destination IPs. Duplication applies only to packets headed to these IPs. Empty matches all destinations.

""

DESTINATION_HOSTS

Comma-separated list of destination hostnames. The helper resolves them and adds the resolved IPs to the filter.

""

SOURCE_PORTS

Comma-separated list of source ports on the target pod. Empty matches all source ports.

""

DESTINATION_PORTS

Comma-separated list of destination ports. Empty matches all destination ports.

""

NETWORK_INTERFACE

Network interface inside the target container's namespace. Almost always eth0 for standard CNI plugins.

eth0

Targeting

Tunable
Description
Default

TARGET_PODS

Comma-separated list of pod names to target. Empty selects from the workload's pods using POD_AFFECTED_PERCENTAGE.

""

TARGET_CONTAINER

Container in the pod whose network namespace to enter. Empty targets the first container in the pod spec.

""

NODE_LABEL

Label selector to filter target pods by the node they run on. Empty disables node-based filtering.

""

POD_AFFECTED_PERCENTAGE

Percentage of the workload's pods to target. 0 means one pod.

0

SEQUENCE

When multiple pods are targeted, inject parallel (all at once) or serial (one after another).

parallel

Runtime and helper

Tunable
Description
Default

CONTAINER_RUNTIME

Container runtime on the target nodes. One of containerd, docker, crio.

containerd

SOCKET_PATH

Path to the container runtime socket on the target node. Set to match CONTAINER_RUNTIME.

/run/containerd/containerd.sock

RAMP_TIME

Wait period in seconds before and after the fault. Go to ramp time to read how it is applied.

0

Tunables that apply to every chaos fault are documented in common tunables for all faults.

Configure for your container runtime

Set CONTAINER_RUNTIME and SOCKET_PATH to match the runtime on the target node:

CONTAINER_RUNTIME

SOCKET_PATH

containerd (default)

/run/containerd/containerd.sock

docker

/var/run/docker.sock

crio

/var/run/crio/crio.sock

Fault execution in brief

Configures the container's network interface to duplicate a specified percentage of packets (each duplicate carrying the same sequence number as the original), optionally scoping the effect to only certain destination IPs, hosts, or ports so other traffic passes through unaffected.

Expected behavior during fault execution

  • TCP receivers detect duplicate sequence numbers and discard the second copy; the connection continues normally. The cost is doubled traffic on the wire, which can saturate links.

  • UDP receivers (DNS, QUIC, custom protocols) see two packets. If the application is not idempotent, it processes the request twice.

  • TCP retransmit counters rise on the receiver side. CNI plugins that count packets may report inflated throughput.

  • For low duplication percentages (10-25%), the impact is mainly bandwidth overhead. At high percentages (75+%), the receiver buffer can fill, and the connection slows or drops.

  • Service mesh dedup at the proxy layer typically handles TCP duplicates well; UDP-based protocols are more exposed.

WHEN THE FAULT ENDS

The duplication configuration is removed, and the pod's network returns to normal immediately.

Signals to watch

Attach resilience probes to assert each layer:

  • Application-level dedup: Use an HTTP probe on an endpoint that tracks request idempotency, or a custom command probe.

  • Bandwidth usage: Use a Prometheus probe on your CNI's bytes-transferred metric.

  • Pod readiness: Use a Kubernetes probe to fail when the pod oscillates NotReady.

Verify the fault execution effect

While the experiment is running, send traffic and confirm duplicates are reaching the receiver:

  1. Send UDP traffic and count packets at the receiver.

    Use tcpdump on the receiver to count incoming packets — you should see roughly (1 + NETWORK_PACKET_DUPLICATION_PERCENTAGE/100) × the sent count on matched flows.

  2. Observe TCP retransmit counters.

    TCP receivers discard duplicate segments and counters reflect the activity.

Recovery and cleanup

  • End of duration: The duplication configuration is removed automatically and connectivity returns to normal within seconds.

  • Abort the experiment: Stopping the experiment from Chaos Studio triggers the same cleanup path.

  • Failed cleanup: If automated cleanup did not complete, restart the target pod to reset its network state.

Limitations

  • Serverless Kubernetes (EKS Fargate, ACI virtual nodes): These platforms do not allow the privileged access this fault needs. GKE Autopilot is supported once the one-time setup in Chaos on GKE Autopilot is in place.

  • Windows containers: This fault is supported on Linux pods only.

  • CNI plugins that bypass the pod's eth0: Custom CNI plugins routing host-side may not be affected by this fault.

  • hostNetwork pods: The fault refuses to inject on hostNetwork: true pods to avoid duplicating host traffic.

  • Saturated links: Doubling traffic on a near-capacity link causes packet drops at the upstream switch or NIC. This can mask the duplication effect with apparent loss.

Troubleshooting

Pod network duplication experiment stays Pending or never starts in Harness Chaos Engineering

Inspect the chaos pods in the experiment namespace with kubectl describe pod -n . The most common causes are taints, insufficient resources, or PodSecurity admission blocking privileged pods. Add the required tolerations or run in a namespace with privileged Pod Security level.

No duplicate packets observed during pod-network-duplication

The most common causes are: NETWORK_INTERFACE does not match (verify with kubectl exec -- ip link show); the filter is too narrow and matches no real traffic (broaden DESTINATION_IPS/HOSTS/PORTS); or the receiving end's NIC offload is silently deduping. Send UDP traffic from another pod and count packets on the receiver with tcpdump to confirm matched flows are duplicated.

Connection to container runtime fails for pod-network-duplication in Harness Chaos Engineering

The default SOCKET_PATH is /run/containerd/containerd.sock. For Docker, set CONTAINER_RUNTIME=docker and SOCKET_PATH=/var/run/docker.sock. For CRI-O, set CONTAINER_RUNTIME=crio and SOCKET_PATH=/var/run/crio/crio.sock.

Duplication persists after pod-network-duplication ends

Automated cleanup did not complete. Restart the target pod to reset its network state. If the issue recurs, capture the chaos pod logs from the experiment namespace before the next run and share them with Harness support.

Related faults

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