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author | Maciek Konstantynowicz <mkonstan@cisco.com> | 2018-04-25 13:36:47 +0100 |
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committer | Maciek Konstantynowicz <mkonstan@cisco.com> | 2018-04-25 13:36:47 +0100 |
commit | 28f9f057aadad0b744dc91df3240caac7e311424 (patch) | |
tree | f7c9fbc037d290e291939b5e5148e73060e50788 | |
parent | 4c6fe5602edcbd9857a846e5b13a21d5c671a2c8 (diff) |
Edits of intro to perf trending dashboard
Change-Id: Ide9a38ac5798ba5a2c37f42232dc86b186502085
Signed-off-by: Maciek Konstantynowicz <mkonstan@cisco.com>
-rw-r--r-- | docs/cpta/introduction/index.rst | 45 |
1 files changed, 20 insertions, 25 deletions
diff --git a/docs/cpta/introduction/index.rst b/docs/cpta/introduction/index.rst index 26fa3a19a9..af411c5632 100644 --- a/docs/cpta/introduction/index.rst +++ b/docs/cpta/introduction/index.rst @@ -4,35 +4,30 @@ 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 -(1t1c, 2t2c, 4t4c). +Dashboard tables list a summary of per test-case VPP MRR performance +trend and trend compliance metrics, and detected number of anomalies. +Data samples come from the CSIT VPP trending MRR jobs executed twice a +day, every 12 hrs (02:00, 14:00 UTC). All trend and anomaly evaluation +is based on a rolling window of <N=14> data samples, covering last 7 +days. Legend to table: - - **Test Case** : name of CSIT test case, see naming convention in + - **Test Case** : name of CSIT test case, naming convention in `CSIT wiki <https://wiki.fd.io/view/CSIT/csit-test-naming>`_. - - **Throughput Trend [Mpps]** : last value of trend calculated over 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 -sections 3.x. + - **Trend [Mpps]** : last value of trend. + - **Short-Term Change [%]** : Relative change of last trend value vs. last week trend value. + - **Long-Term Change [%]** : Relative change of last trend value vs. maximum of trend values over the last quarter except last week. + - **Regressions [#]** : Number of regressions detected. + - **Progressions [#]** : Number of progressions detected. + - **Outliers [#]** : Number of outliers detected. + +All trend and anomaly calculations are defined in :ref:`trending_methodology`. + +Tested VPP worker-thread-core combinations (1t1c, 2t2c, 4t4c) are listed +in separate tables in section 1.x. Followed by trending methodology in +section 2. and daily trending graphs in sections 3.x. Daily trending +data used is provided in sections 4.x. VPP worker on 1t1c ------------------ |