Pod network latency
Add a configurable delay to packets on a target Kubernetes pod's network path to test timeout, retry, and tail-latency behavior of upstream and downstream calls.
Pod network latency is a Kubernetes pod-level chaos fault that adds a configurable delay to packets on the network path serving a target pod for a configurable duration. Only the selected pods experience the delay; other pods on the node and the node's host networking are unaffected. When the fault ends, the delay is removed and the pod's network returns to normal immediately.
Use this fault to test how a service behaves when one or more replicas suddenly experience high latency to upstream dependencies, peers, or callers: a cross-region failover, a degraded WAN, a slow database, or a queue backed up under load.
Use cases
Run this fault when you want to answer concrete questions like:
Timeout and retry budgets: When a downstream call takes 5 seconds instead of 50 ms, do clients honor sensible timeouts? Does the retry budget hold, or do callers amplify load?
Cross-region latency simulation: Before a multi-region migration, simulate inter-region latency and verify whether your read-after-write semantics still hold.
Connection pool sizing: Higher latency means more in-flight requests for the same throughput. Does the pool size up, or does the workload starve?
Service mesh failover: Does the mesh shift traffic away from the slow replica through outlier detection, or do the slow responses propagate?
Probe sensitivity: Are readiness and liveness probes resilient to short latency spikes, or do they oscillate the pod in and out of service?
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
Runningstate 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
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 latency to an experiment in Chaos Studio. Defaults are shown for reference.
Chaos parameters
NETWORK_LATENCY
Latency to add to each packet. Accepts Go duration strings such as 100ms, 2s, 500us.
"2s"
JITTER
Random variation around NETWORK_LATENCY in milliseconds. 0 means perfectly fixed delay.
0
CORRELATION
Latency correlation as a percentage. 0 makes each packet's delay independent; higher values smooth the variation.
""
TOTAL_CHAOS_DURATION
Duration of the fault in seconds.
60
Traffic filters
DESTINATION_IPS
Comma-separated list of destination IPs. Latency 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
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
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 add a specified delay (with optional jitter) to outbound packets, optionally scoping the effect to only certain destination IPs, hosts, or ports so other traffic passes through unaffected.
Expected behavior during fault execution
Packets matching the filter are buffered and released after the configured delay. Round-trip times rise by
NETWORK_LATENCYplus anyJITTERvariation.TCP throughput drops in proportion to the latency increase (bandwidth-delay product). HTTP/2 and gRPC connections accommodate the delay, but each call takes correspondingly longer.
UDP traffic (DNS, QUIC) is delayed but not dropped. DNS lookups that previously took 5 ms now take
5 + NETWORK_LATENCYms; clients with short DNS timeouts may consider the lookup failed.At very high latencies (10+ seconds), TCP keepalive can fail and connections drop. Health probes can time out.
Service meshes with outlier detection on slow response times may eject the pod from upstream load-balancing pools.
Signals to watch
Attach resilience probes to assert each layer:
Tail latency: Use a Prometheus probe on your p99 latency metric to confirm the increase matches the injected delay.
Client timeouts and retries: Use an HTTP probe for direct endpoint health; rising timeouts signal that the client is not budgeted for the delay.
Pod readiness: Use a Kubernetes probe to fail when the target pod oscillates
NotReadydue to probe timeouts.
Verify the fault execution effect
While the experiment is running, measure round-trip time and confirm the increase:
Measure round-trip time from another pod.
The reported RTT should increase by approximately
NETWORK_LATENCY(plus anyJITTER) on matched flows.Confirm application-level impact.
time_totalshould reflect the added delay. Application timeouts shorter thanNETWORK_LATENCYfail; longer ones succeed but with elevated tail latency.
Recovery and cleanup
End of duration: The delay configuration is removed automatically and latency returns to baseline 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: Some eBPF-based plugins route packets host-side and may not be affected by this fault.hostNetworkpods: The fault would apply to the host interface and affect the entire node. It refuses to inject onhostNetwork: truepods.
Troubleshooting
Related faults
Pod network loss: Drop packets instead of delaying them.
Pod network corruption: Corrupt a percentage of packets.
Pod network duplication: Duplicate a percentage of packets.
Pod network rate limit: Throttle bandwidth instead of adding delay.
Node network latency: Apply latency at the node level rather than to a single pod.
Common pod fault tunables: Shared environment variables for selecting target pods and workloads.
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