Comments (6)
I have the same issue, deployments are scheduled to be terminated but not all of them actually were terminated (pods in a deployment)
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Can you share the configs for kube monkey that you are using?
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my kube-monkey tool config
config:
dryRun: false
runHour: 11
startHour: 12
endHour: 13
blacklistedNamespaces: [ "kube-system", "istio-system", "rbac-manager", "db-migrate" ]
whitelistedNamespaces: [ "default"]
timeZone: America/New_York
debug:
enabled: false # if you want to enable debugging and see how pods killed immediately set this to true
schedule_immediate_kill: false
and labels in each opted in service
metadata:
labels:
kube-monkey/enabled: enabled
kube-monkey/identifier: kube-monkey-victim
kube-monkey/kill-mode: fixed
kube-monkey/kill-value: "3"
kube-monkey/mtbf: "1"
spec:
template:
metadata:
labels:
kube-monkey/enabled: enabled
kube-monkey/identifier: kube-monkey-victim
this labels config use around 10-12 different services, all of them were scheduled for termination with pre defined hours and only 3-4 services (pods) were actually were terminated,
from kube-monkey.
Do you mind adding the logs, the version that you are using and more detail?
Is it always the same services that are not attacked or is ti random?
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i ran only once in production environment, i stopped until we figure out how this tool works, in logs we was that tool triggered termination for deployments but we didn't see any terminated pods after that.
our kube-monkey version
image: ayushsobti/kube-monkey:v0.3.0
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Sorry for the radio silence @kyrylyuk-andriy. A new version was released yesterday if you want to give it a try.
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