This Helm chart deploys a full load test suite in Kubernetes. It consists of the 3 micro-services:
Since the webservers and the loadbots work autonomic the task of the aggregator ist to orchestrate the test run. It does this by useing the Kubernetes api via client-go library to talk set up the desires replicas of each unit. The test run consists of the following tests scenarios:
The maximum count of replicas (default 100) can be set with –set aggregator.maxReplicas=….
The loadbots have the task to run a predefined level of queries per second. Vegeta publishes detailed statistics which will be fetched and evaluated by the aggregator. This metrics are:
When all tests are finishes the aggregator will print the following summary to its logs:
GENERATING SUMMARY OUTPUT Summary of load scenarios: 0. Idle : QPS: 10037 Success: 100.00 % Latency: 949.82µs (mean) 3.004154ms (99th)
- Under load: QPS: 10014 Success: 100.00 % Latency: 965.549µs (mean) 1.985838ms (99th)
- Equal load: QPS: 50078 Success: 100.00 % Latency: 982.519µs (mean) 7.213018ms (99th)
- Over load : QPS: 501302 Success: 100.00 % Latency: 198.21451ms (mean) 859.504601ms (99th)
- High load : QPS: 502471 Success: 100.00 % Latency: 239.26364ms (mean) 1.018523444s (99th) END SUMMARY DATA
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