From a9817f5ee57ce8cfcc42d6730dd39169ba842d06 Mon Sep 17 00:00:00 2001 From: Sara Walton Date: Mon, 26 Aug 2024 13:56:51 -0600 Subject: [PATCH] fixing whitespaces --- rtd/docs/source/asf/index.rst | 44 +++++++++++++++++------------------ 1 file changed, 22 insertions(+), 22 deletions(-) diff --git a/rtd/docs/source/asf/index.rst b/rtd/docs/source/asf/index.rst index e44f2aaff9..0b067db4d3 100644 --- a/rtd/docs/source/asf/index.rst +++ b/rtd/docs/source/asf/index.rst @@ -1,22 +1,22 @@ -.. image:: ../images/appsysfusion.png - :width: 300 - :height: 125 - :align: center - -ASF -==== -AppSysFusion provides analysis and visualization capabilities aimed at serving insights from HPC monitoring data gathered with LDMS, though could be generalized outside of that scope. -It combines a Grafana front-end with a Django back-end to perform in-query analyses on raw data and return transformed information back to the end user. -By performing in-query analyses, only data of interest to the end-user is operated on rather than the entirety of the dataset for all analyses for all time. -This saves significant computation and storage resources with the penalty of slightly higher query times. -These analyses are modular python scripts that can be easily added or changed to suit evolving needs. -The current implementation is aimed at querying DSOS databases containing LDMS data, though efforts are in progress to abstract this functionality out to other databases and datatypes. - -.. toctree:: - :maxdepth: 2 - - asf-quickstart - asf-tutorial - grafanapanel - grafanause - pyanalysis +.. image:: ../images/appsysfusion.png + :width: 300 + :height: 125 + :align: center + +ASF +==== +AppSysFusion provides analysis and visualization capabilities aimed at serving insights from HPC monitoring data gathered with LDMS, though could be generalized outside of that scope. +It combines a Grafana front-end with a Django back-end to perform in-query analyses on raw data and return transformed information back to the end user. +By performing in-query analyses, only data of interest to the end-user is operated on rather than the entirety of the dataset for all analyses for all time. +This saves significant computation and storage resources with the penalty of slightly higher query times. +These analyses are modular python scripts that can be easily added or changed to suit evolving needs. +The current implementation is aimed at querying DSOS databases containing LDMS data, though efforts are in progress to abstract this functionality out to other databases and datatypes. + +.. toctree:: + :maxdepth: 2 + + asf-quickstart + asf-tutorial + grafanapanel + grafanause + pyanalysis