1/21/2024 0 Comments Openshift cis benchmark![]() ![]() Remember that workorder transactions are linked to specific flowops. The above output has been truncated (hence the “ ”), but this output format is what you should expect to see after successfully running uperf with Ripsaw. Flowops are essentially basic operations such as “connect,” “disconnect,” “send,” “receive,” and “sendfile.” See reference 5 for a complete list of supported ops, including ones you can write yourself.įollowing the handshake phases’ debug output, you should see a similar debug output that describes which transaction from the workorder is being called: Starting 1 threads running profile:stream-tcp-16384-1. A “strand” is a lightweight thread that “either independent packets (belonging to different connections) or bookkeeping operations.” Also during this phase is the process of sending (“transferring”) a workorder from the first node to the second node, where the workorder contains one or more flowops. During phase 2, however, strands are created in prep for the network testing. In essence, the handshake process is broken down into two “phases.” During phase 1, the client attempts to connect to the remote host, and verification of version numbers, supported protocols, etc., is executed. For example: Allocating shared memory of size 156624 bytes The output below is the debug output for the handshake phases (1 and 2) to test the connection. The output from the above command will show you the “profile.” A description of what “transactions” and “flowops” are will be provided in the following subsections. To view your results, run the following command (replacing with the hash of your pod): $ kubectl logs pod/uperf-client-n my-ripsaw To find such pods: $ kubectl get pods -n my-ripsaw | grep uperf-client ![]() The uperf results can be found in a “uperf-client-” pod. 8s.io/benchmark-operator createdĬ8s.io/benchmark-operator-kube createdĬ/ createdĭeployment.apps/benchmark-operator created You should see the following outputs: serviceaccount/benchmark-operator created To set up the operator, clone the Ripsaw git repo: $ export RIPSAW=/tmp/ripsawĬreate the namespace like so: $ kubectl apply -f $/resources/operator.yaml Also, make sure that you have set the KUBECONFIG environment variable to point to your kubeconfig file. If you do not have one running, please create one before continuing to the next step. This section assumes you already have an OpenShift/Kubernetes cluster running. SETTING UP THE RIPSAW OPERATOR AND RUNNING UPERF Users create “profiles” to generate generic workloads for assessing network statistics, including but not limited to: bandwidth or latency with different network protocols (for example, TCP, UDP, etc.), TCP congestion control algorithms, and connection setup/teardown scalability for different network protocols. Uperf is a network performance tool that uses a high-level language called a “profile” to model real-world applications. Since this article focuses on uperf, however, we will ignore custom workloads and the other common workloads. You can also use your own workload if you are not satisfied with the workloads built in. Ripsaw is a benchmark operator for OpenShift and Kubernetes that is used to establish a performance baseline of your cluster by deploying common workloads such as: uperf, iperf3, fio, sysbench, YCSB, pgbench, smallfile, fs-drift, and hammerdb.
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