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add version info (#107)
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@ -77,13 +77,17 @@ The formulas above were based on data collected from tests using the following s
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**For Memory usage based on the number of Pods and Services:**
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The following Kubernetes end-to-end tests (e2e):
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The following Kubernetes end-to-end presubmit tests (e2e):
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* pull-kubernetes-e2e-gce-big-performance: A 500 node cluster with 15000 Pods, 820 Services
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* pull-kubernetes-e2e-gce-large-performance: A 2000 node cluster with 60000 Pods, 3280 Services
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* pull-kubernetes-e2e-gce-scale-performance: A 5000 node cluster with 150000 Pods, 8200 Services
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These tests do not perform any QPS load, so cache and operating buffers were tested separately under load
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Version Info:
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* Kubernetes version: 1.12-ish. These tests were running a version of Kubernetes built by the pre-submit tests in PRs to master on the tail end of the 1.12 release cycle.
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* CoreDNS: 1.2.4 and 1.2.5
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These pre-submit tests do not perform any QPS load, so cache and operating buffers were tested separately under load
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and added to the max memory usage of each test to approximate real world memory usages.
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The memory formulas above are based on a best fit linear trend of the following data points.
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@ -103,6 +107,8 @@ The memory formulas above are based on a best fit linear trend of the following
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* Master: n1-standard-1 (1 vCPU, 3.75 GB memory)
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* Nodes: n1-standard-2 (2 vCPUs, 7.5 GB memory)
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* Networking: kubenet
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* Kubernetes Version: 1.13.0-alpha.2 (+3abb9f0ad7fd27)
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* CoreDNS Version: 1.2.5
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* Test Client: Tests were executed using the scripts in `kubernetes/perf-tests/dns`, which use `dnsperf` under the hood.
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