The Perf Counters docs, although informative, are lacking for users and developers who are wondering what they can do with their perf counter data. I wrote an extra paragraph here that outlines some ways in which the counters can be used, including diagnosing problems in a cluster and identifying workload patterns.
Signed-off-by: Laura Flores <lflores@redhat.com>
Perf counters
===============
-The perf counters provide generic internal infrastructure for gauges and counters. The counted values can be both integer and float. There is also an "average" type (normally float) that combines a sum and num counter which can be divided to provide an average.
+The perf counters provide generic internal infrastructure for gauges and counters. The counted values can be both integer and float. There is also an "average" type (normally float) that combines a sum and num counter which can be divided to provide an average.
-The intention is that this data will be collected and aggregated by a tool like ``collectd`` or ``statsd`` and fed into a tool like ``graphite`` for graphing and analysis. Also, note the :doc:`../mgr/prometheus`.
+The intention is that this data will be collected and aggregated by a tool like ``collectd`` or ``statsd`` and fed into a tool like ``graphite`` for graphing and analysis. Also, note the :doc:`../mgr/prometheus` and the :doc:`../mgr/telemetry`.
+
+Users and developers can also access perf counter data locally to check a cluster's overall health, identify workload patterns, monitor cluster performance by daemon types, and troubleshoot issues with latency, throttling, memory management, etc. (see :ref:`Access`)
+
+.. _Access:
Access
------