Influxdb backend plugin for graphite-web and graphite-api
An influxdb (0.8-rc3 or higher) backend for Graphite-web (source or 0.10.x) or graphite-api.
Install and configure using docker
Using docker is an easy way to get graphite-api + graphite-influx up and running. See https://github.com/Dieterbe/graphite-api-influxdb-docker
Otherwise, follow instructions below. Graphite-api is the simplest to setup, though graphite-web might perform better. You can use the experimental statsd support in graphite-api to have this backend submit performance metrics (not supported with graphite-web)
pip install graphite_influxdb
don’t forget to run maintain_cache.py, which keeps the cache up to date in a loop
Using with graphite-api
You need the patched version from https://github.com/brutasse/graphite-api/pull/36 This adds support for caching, statsd instrumentation, and graphite-style templates
In your graphite-api config file:
finders: - graphite_influxdb.InfluxdbFinder influxdb: host: localhost port: 8086 user: graphite pass: graphite db: graphite
Also enable the cache. memcache doesn’t seem to work well because the list of series is too big. filesystem seems to work well:
cache: CACHE_TYPE: 'filesystem' CACHE_DIR: '/tmp/graphite-api-cache'
Using with graphite-web
In graphite’s local_settings.py:
STORAGE_FINDERS = ( 'graphite_influxdb.InfluxdbFinder', ) INFLUXDB_HOST = "localhost" INFLUXDB_PORT = 8086 INFLUXDB_USER = "graphite" INFLUXDB_PASS = "graphite" INFLUXDB_DB = "graphite"
In graphite-api, using parameter cheat_times: true means assume we have data since the beginning of time until now. Since we automatically yield None’s for unknown values, this doesn’t really make any difference, graphs look the same, but now we don’t query influx for the begin/end of each timeseries, which boosts performance. The default value of this is False. In graphite-web, the parameter is INFLUXDB_CHEAT_TIMES.