[perf] - Update docs.
No-Try: true
Docs-Preview: https://skia.org/?cl=248811
Change-Id: I23deb4000dac155294f69429e37f675bcd3fa29c
Reviewed-on: https://skia-review.googlesource.com/c/skia/+/248811
Reviewed-by: Heather Miller <hcm@google.com>
Auto-Submit: Joe Gregorio <jcgregorio@google.com>
diff --git a/site/dev/testing/Cluster.png b/site/dev/testing/Cluster.png
index 12dc4d5..caf8700 100644
--- a/site/dev/testing/Cluster.png
+++ b/site/dev/testing/Cluster.png
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diff --git a/site/dev/testing/Perf.png b/site/dev/testing/Perf.png
index bcbc20f..a6885a8 100644
--- a/site/dev/testing/Perf.png
+++ b/site/dev/testing/Perf.png
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diff --git a/site/dev/testing/Regression.png b/site/dev/testing/Regression.png
new file mode 100644
index 0000000..b9f7ac5
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diff --git a/site/dev/testing/skiaperf.md b/site/dev/testing/skiaperf.md
index 005b30b..8634249 100644
--- a/site/dev/testing/skiaperf.md
+++ b/site/dev/testing/skiaperf.md
@@ -1,40 +1,39 @@
Skia Perf
=========
-[Skia Perf](https://perf.skia.org) is a Polymer-based web application for
-analyzing and viewing performance metrics produced by Skia's testing
-infrastructure.
+[Skia Perf](https://perf.skia.org) is a web application for analyzing and
+viewing performance metrics produced by Skia's testing infrastructure.
<img src=Perf.png style="margin-left:30px" align="left" width="800"/> <br clear="left">
Skia tests across a large number of platforms and configurations, and each
-commit to Skia generates 240,000 individual values that are sent to Perf,
-consisting mostly of performance benchmark results, but also including memory
-and coverage data.
+commit to Skia generates more than 400,000 individual values that are sent to
+Perf, consisting mostly of performance benchmark results, but also including
+memory and coverage data.
-Perf includes tools for analyzing such a large corpus of data, the most
-powerful is [k-means clustering](https://perf.skia.org/t/). This tool groups
-large sets of performance metrics together based on how they change over time,
-and highlights sets of metrics that have performance regressions.
+Perf offers clustering, which is a tool to pick out trends and patterns in large sets of traces.
-<img src=Cluster.png style="margin-left:30px" align="left" width="500"/> <br clear="left">
+<img src=Cluster.png style="margin-left:30px" align="left" width="400"/> <br clear="left">
-Calculations
-------------
+And can generate alerts when those trends spot a regression:
+
+<img src=Regression.png style="margin-left:30px" align="left" width="800"/> <br clear="left">
+
+
+## Calculations
Skia Perf has the ability to perform calculations over the test data
allowing you to build up interesting queries.
-This query displays [the ratio of playback time in ms to the number of ops for desk\_wowwiki.skp](https://perf.skia.org/#1876):
+This query displays the ratio of playback time in ms to the number of ops for desk\_wowwiki.skp:
ratio(
ave(fill(filter("name=desk_wowwiki.skp&sub_result=min_ms"))),
ave(fill(filter("name=desk_wowwiki.skp&sub_result=ops")))
)
-You can also use the data to answer questions like [how many tests were run per commit](https://perf.skia.org/#1878).
+You can also use the data to answer questions like how many tests were run per commit.
count(filter(""))
-See Skia Perf for the [full list of functions available](https://perf.skia.org/help).
-
+See Skia Perf for the [full list of functions available](https://perf.skia.org/help/).
