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authorTibor Frank <tifrank@cisco.com>2018-04-19 11:28:15 +0200
committerTibor Frank <tifrank@cisco.com>2018-04-19 11:28:15 +0200
commit1265b8792b8edd44407c8073aeba2ca24dc0ad82 (patch)
tree7e704322f930ca221b171d41dcd6e4205764ff93 /docs/cpta/introduction
parent98f7c4743d36b03cbe9952ff7e3e60e39f851e2d (diff)
CSIT-1041: Trending dashboard
Change-Id: I175bf9269a9f958dc35d592a2810b7a6f37268a3 Signed-off-by: Tibor Frank <tifrank@cisco.com>
Diffstat (limited to 'docs/cpta/introduction')
-rw-r--r--docs/cpta/introduction/index.rst36
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diff --git a/docs/cpta/introduction/index.rst b/docs/cpta/introduction/index.rst
index 516e8b36e0..26fa3a19a9 100644
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@@ -4,29 +4,31 @@ VPP MRR Performance Dashboard
Description
-----------
-Dashboard tables list a summary of per test-case VPP MRR performance trend
-values and detected anomalies (Maximum Receive Rate - received packet rate
-under line rate load). Data comes from trending MRR jobs executed every 12
-hrs (2:00, 14:00 UTC). Trend, trend compliance and anomaly calculations are
-based on a rolling window of <N> samples, currently N=14 covering last 7 days.
-Separate tables are generated for tested VPP worker-thread-core combinations
+Dashboard tables list a summary of per test-case VPP MRR performance trend
+values and detected anomalies (Maximum Receive Rate - received packet rate
+under line rate load). Data comes from trending MRR jobs executed every 12
+hrs (2:00, 14:00 UTC). Trend, trend compliance and anomaly calculations are
+based on a rolling window of <N> samples, currently N=14 covering last 7 days.
+Separate tables are generated for tested VPP worker-thread-core combinations
(1t1c, 2t2c, 4t4c).
Legend to table:
- - "Test Case": name of CSIT test case, naming convention on
+ - **Test Case** : name of CSIT test case, see naming convention in
`CSIT wiki <https://wiki.fd.io/view/CSIT/csit-test-naming>`_.
- - "Throughput Trend [Mpps]": last value of trend calculated over a
+ - **Throughput Trend [Mpps]** : last value of trend calculated over a
rolling window.
- - "Trend Compliance": calculated based on detected anomalies, listed in
- precedence order - i) "failure" if 3 consecutive outliers,
- ii) "regression" if any regressions, iii) "progression" if any
- progressions, iv) "normal" if data compliant with trend.
- - "Anomaly Value [Mpps]": i) highest outlier if "failure", ii) highest
- regression if "regression", iii) highest progression if "progression",
- iv) "-" if normal i.e. within trend.
- - "Change [%]": "Anomaly Value" vs. "Throughput Trend", "-" if normal.
- - "# Outliers": number of outliers detected within a rolling window.
+ - **Trend Compliance** : calculated based on detected anomalies over a
+ rolling window, listed in precedence order - i) **failure** if 3
+ consecutive outliers, ii) **regression** if any regressions, iii)
+ **progression** if any progressions, iv) **normal** if data compliant
+ with trend; test cases listed alphabetically within compliance category.
+ - **Top Anomaly [Mpps]** : i) outlier if **failure**, ii) drop
+ if **regression**, iii) gain if **progression**, iv) **-**
+ if normal i.e. within trend.
+ - **Change [%]** : **Top Anomaly** vs. **Throughput Trend**, **-** if
+ normal.
+ - **Outliers [Number]** : number of outliers detected over a rolling window.
Tables are listed in sections 1.x. Followed by daily trending graphs in
sections 2.x. Daily trending data used to generate the graphs is listed in