X-Git-Url: https://git.xandkar.net/?p=beam_stats.git;a=blobdiff_plain;f=README.md;h=b15ddc2d3d3ddf5727ec8f545cc4e3c25b9c6955;hp=3a5553699fc02fa92036b2c402ea9809c6e60b33;hb=HEAD;hpb=8c0788b23299b3d09f255cdfb1932f10da3545a2

diff --git a/README.md b/README.md
index 3a55536..b15ddc2 100644
--- a/README.md
+++ b/README.md
@@ -1,4 +1,4 @@
-[![Build Status](https://travis-ci.org/ibnfirnas/beam_stats.svg?branch=master)](https://travis-ci.org/ibnfirnas/beam_stats)
+[![Build Status](https://travis-ci.org/xandkar/beam_stats.svg?branch=master)](https://travis-ci.org/xandkar/beam_stats)
 
 beam_stats
 ==========
@@ -21,6 +21,21 @@ Essentially like `folsomite`, but different. Different in the following ways:
     + Well-defined metrics-to-binary conversions, as opposed to the
       nearly-arbitrary term-to-string conversions used in `folsomite`
     + Spec'd, tested and Dialyzed
+- More detailed stats:
+    - **per-process**. As much process ancestry is collected as possible, then
+      anonymous processes are aggregated to their youngest-known, named
+      predecessor - this aggregation keeps the useful breadcrumbs, while
+      reducing the number of unique names from exploding, which
+      **avoids the associated problems**:
+        1. not very useful when there're lots of short-lived processes
+        2. exploading disk space usage in Whisper
+    - per-ETS-table
+    - and more ... see records defined in `include` directory
+
+For an example of using pre-process stats to track-down memory leaks, here's a
+screenshot of the SSL connection process memory usage growth drop after upgrade
+from 17.5 to 18.1 (back in 2015):
+![SSL memory leak going away](screenshot--2015-10-05--18.41.30.jpg)
 
 ### Adding consumers
 
@@ -36,6 +51,10 @@ Essentially like `folsomite`, but different. Different in the following ways:
           , {dst_port             , 8125}
           , {src_port             , 8124}
           , {num_msgs_per_packet  , 10}
+
+          % If you want to name your node something other than what
+          % erlang:node() returns:
+          , {static_node_name     , <<"unicorn_at_rainbow">>}
           ]}
       , {beam_stats_consumer_graphite,
           [ {consumption_interval , 60000}