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docs(): minor tweaks to new tutorial

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Torkel Ödegaard 2015-08-13 09:51:31 +02:00
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docs/mkdocs.yml
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@ -68,8 +68,8 @@ pages:
- ['datasources/opentsdb.md', 'Data Sources', 'OpenTSDB']
- ['datasources/kairosdb.md', 'Data Sources', 'KairosDB']
# - ['tutorials/index.md', 'Tutorials', 'Tutorials']
# - ['tutorials/stack_guide_graphite.md', 'Tutorials', 'Stack setup: Grafana + Graphite + StatsD']
- ['tutorials/index.md', 'Tutorials', 'Tutorials']
- ['tutorials/stack_guide_graphite.md', 'Tutorials', 'Stack setup: Grafana + Graphite + StatsD']
- ['project/building_from_source.md', 'Project', 'Building from Source']
- ['project/cla.md', 'Project', 'Contributor License Agreement']

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docs/sources/tutorials/stack_guide_graphite.md
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@ -24,14 +24,13 @@ that is not really the case, or, at least, that it is a lot better than you expe
## Installation - Ubuntu
This guides will require you to install 4 components.
To begin with we are going to install the 3 main components that define our metric stack. Later in the guide we will
install StatsD, but that is optional.
- Carbon is the graphite ingestion deamon responsible for
receiving metrics and storing them.
- Graphite-api is light weight version of graphite-web with only the HTTP api and is
responsible for executing metric queries.
- StatsD is a metrics aggregation daemon that makes it easy for apps on
many machines to send measurements like timings and counters and have them aggregated or percentiles calculated.
- Grafana as the frontend to visualize metrics and the tool to help you build metric
queries that will make the most out of your collected metrics.
@ -258,8 +257,7 @@ frameworks and numerous integrations.
There are hundreds of tools and instrumentation frameworks that can send metrics using this protocol.
## Installing StatsD
### Installing StatsD
StatsD is a metrics aggregation daemon that makes it easy for apps on many machines to send measurements like timings and counters and have them aggregated or percentiles calculated.
StatsD is To make it easier for applications to send metrics and timings
### Inserting metrics
### Sending metrics to StatsD