The intent of this Operator is to deploy common workloads to establish a performance baseline of Kubernetes cluster on your provider.

The easiest way to install the operator is through the operator-sdk methods provided in the Makefile.

git clone https://github.com/cloud-bulldozer/benchmark-operator
cd benchmark-operator
make deploy

If you wish to build a version of the operator from your local copy of the repo, you can run

git clone https://github.com/cloud-bulldozer/benchmark-operator
cd benchmark-operator
make image-build image-push deploy IMG=$YOUR_IMAGE

Note: building the image requires podman

Installing the benchmark-operator via Helm can be done with the following commands. This requires your machine to have Helm installed. Install Helm

Note: If running on openshift you'll need to run this command before installing the chart. oc adm policy -n benchmark-operator add-scc-to-user privileged -z benchmark-operator

git clone https://github.com/cloud-bulldozer/benchmark-operator
cd benchmark-operator/charts/benchmark-operator
kubectl create namespace benchmark-operator
oc adm policy -n benchmark-operator add-scc-to-user privileged -z benchmark-operator # Openshift Only
helm install benchmark-operator . -n benchmark-operator --create-namespace

To delete this release, you can do so with the following command:

helm uninstall benchmark-operator -n benchmark-operator

Previously the Benchmark Operator didn't properly take advantage of the reconciliation period. Going forward we will make every attempt to utilize the reconciliation period.

Why did we decide to switch to this? Our operator would implement long running tasks, due to the nature of benchmarks. However, long running tasks blocks the Operator, causing us to delete the Operator and re-create the operator to un-block it. The benchmarks mentioned above that state Used for Reconciliation, no longer have this issue.

Benchmark-operator includes a series of end 2 end tests that can be triggered in local. More info in the documentation.

Optional locations for workload images can now be added easily without the need to rebuild the operator. To do so in the workload args section of the CR add image: [location]

NOTE: This is not a required argument. If omitted it will default to the currently verified workload image. Additionally, this is NOT enabled for YCSB

For Example:

apiVersion: ripsaw.cloudbulldozer.io/v1alpha1
kind: Benchmark
metadata:
  name: example-benchmark
  namespace: benchmark-operator
spec:
  elasticsearch:
    url: "http://my-es.foo.bar:80"
  metadata_collection: true
  cleanup: false
  workload:
    name: "foo"
    args:
      image: my.location/foo:latest

Workloads that are triggered through benchmark-wrapper can optionally pass the debug flag through the workload CR.

NOTE: This is not a required argument. If omitted it will default to the default logging level of the benchmark-wrapper.

For Example:

apiVersion: ripsaw.cloudbulldozer.io/v1alpha1
kind: Benchmark
metadata:
  name: example-benchmark
  namespace: benchmark-operator
spec:
  elasticsearch:
    url: "http://my-es.foo.bar:80"
  metadata_collection: true
  cleanup: false
  workload:
    name: snafu_workload
    args:
      debug: true

All benchmarks in the benchmark-operator utilize a UUID for tracking and indexing purposes. This UUID is, by default, generated when the workload is first started. However, if desired, a user provided UUID can be added to the workload cr.

NOTE: The provided UUID must be in format XXXXX-XXXXX-XXXXX

For Example:

apiVersion: ripsaw.cloudbulldozer.io/v1alpha1
kind: Benchmark
metadata:
  name: example-benchmark
  namespace: benchmark-operator
spec:
  uuid: 6060004a-7515-424e-93bb-c49844600dde
  elasticsearch:
    url: "http://my-es.foo.bar:80"
  metadata_collection: true
  cleanup: false
  workload:
    name: "foo"
    args:
      image: my.location/foo:latest

Contributing

Metadata Collection

Indexing to Elasticsearch

Capturing Prometheus Data

Cache dropping

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