Benchmarking tool for Kubernetes clusters
Project description
kbench
kbench is a benchmarking tool for measuring the control plane performance of a Kubernetes cluster.
Installation
kbench is available on PyPI.
$ pip3 install kbench
Usage
pod-throughput
Launch multiple pods in parallel and measure their startup and cleanup time.
$ kbench pod-throughput
-n
,--num-pods
: Number of pods to launch.-i
,--image
: Container image to use.--timings
/--no-timings
: Print timing information for all pods.
pod-latency
Launch multiple pods sequentially and measure their startup and cleanup time.
$ kbench pod-latency
-n
,--num-pods
: Number of pods to launch.-i
,--image
: Container image to use.--timings
/--no-timings
: Print timing information for all pods.
deployment-scaling
Create a deployment and measure scale-in/out latency. First, a deployment with
m
replicas is created. Then, the deployment is scaled-out to n
replicas.
Once the scale-out is completed, the deployment is scaled-in to m
replicas
again.
$ kbench deployment-scaling
-i
,--image
: Container image to use.-m
,--num-init-replicas
: Initial number of replicas.-n
,--num-target-replicas
: Target number of replicas.
Project details
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