Benchmark and Validate a Knative gRPC service¶
Before you begin
- Install Iter8 CLI.
- Install Knative and deploy your first Knative Service. As noted at the end of the Knative tutorial, when you curl the Knative service, you should see the expected output as follows.
curl http://hello.default.127.0.0.1.sslip.io
Hello World!
- Update the Knative service deployed above to a gRPC service as follows.
kn service update hello \ --image docker.io/grpc/java-example-hostname:latest \ --port 50051 \ --revision-name=grpc
1. Launch experiment¶
We will benchmark and validate SLOs for the Knative gRPC service by launching an Iter8 experiment.
iter8 launch -c load-test-grpc \
--set-string host="hello.default.127.0.0.1.sslip.io:50051" \
--set-string call="helloworld.Greeter.SayHello" \
--set-string protoURL="https://raw.githubusercontent.com/grpc/grpc-java/master/examples/example-hostname/src/main/proto/helloworld/helloworld.proto"
--set data.name="frodo" \
--set SLOs.error-rate=0 \
--set SLOs.latency/mean=400 \
--set SLOs.latency/p90=500 \
--set SLOs.latency/p'97\.5'=600
In the above experiment, the following SLOs are validated for the Knative service. - error rate is 0 - mean latency is under 400 msec - 90th percentile latency is under 500 msec - 97.5th percentile latency is under 600 msec
2. Assert outcomes¶
Assert that the experiment completed without any failures and SLOs are satisfied.
iter8 assert -c completed -c nofailure -c slos
3. View report¶
View a report of the experiment in HTML or text formats as follows.
iter8 report -o html > report.html
# open report.html with a browser. In MacOS, you can use the command:
# open report.html
iter8 report -o text