Personal tools
Skip to content. | Skip to navigation
Grafana is an open source, feature rich metrics dashboard and graph editor for Graphite, InfluxDB & OpenTSDB. Features Graphite Target Editor Graphite target expression parser Feature rich query composer Quickly add and edit functions & parameters Templated queries See it in action Graphing Fast rendering, even over large timespans Click and drag to zoom Multiple Y-axis, logarithmic scales Bars, Lines, Points Smart Y-axis formating Series toggles & color selector Legend values, and formatting options Grid thresholds, axis labels Annotations Any panel can be rendered to PNG (server side using phantomjs) Dashboards Create, edit, save & search dashboards Change column spans and row heights Drag and drop panels to rearrange Templating Scripted dashboards Dashboard playlists Time range controls Share snapshots publicly InfluxDB Use InfluxDB as a metric data source, annotation source Query editor with series and column typeahead, easy group by and function selection OpenTSDB Use as metric data source Query editor with metric name typeahead and tag filtering
statsd_exporter receives StatsD-style metrics and exports them as Prometheus metrics. Overview With StatsD To pipe metrics from an existing StatsD environment into Prometheus, configure StatsD's repeater backend to repeat all received metrics to a statsd_exporter process. This exporter translates StatsD metrics to Prometheus metrics via configured mapping rules. +----------+ +-------------------+ +--------------+ | StatsD |---(UDP/TCP repeater)--->| statsd_exporter |<---(scrape /metrics)---| Prometheus | +----------+ +-------------------+ +--------------+ Without StatsD Since the StatsD exporter uses the same line protocol as StatsD itself, you can also configure your applications to send StatsD metrics directly to the exporter. In that case, you don't need to run a StatsD server anymore. We recommend this only as an intermediate solution and recommend switching to native Prometheus instrumentation in the long term. Tagging Extensions The exporter supports Librato, InfluxDB, and DogStatsD-style tags, which will be converted into Prometheus labels. For Librato-style tags, they must be appended to the metric name with a delimiting #, as so: metric.name#tagName=val,tag2Name=val2:0|c See the statsd-librato-backend README for a more complete description. For InfluxDB-style tags, they must be appended to the metric name with a delimiting comma, as so: metric.name,tagName=val,tag2Name=val2:0|c See this InfluxDB blog post for a larger overview. For DogStatsD-style tags, they're appended as a |# delimited section at the end of the metric, as so: metric.name:0|c|#tagName=val,tag2Name=val2 See Tags in the DogStatsD documentation for the concept description and Datagram Format. If you encounter problems, note that this tagging style is incompatible with the original statsd implementation. Be aware: If you mix tag styles (e.g., Librato/InfluxDB with DogStatsD), the exporter will consider this an error and the sample will be discarded. Also, tags without values (#some_tag) are not supported and will be ignored.
Apache/Airflow influxdb provider
InfluxDB is an open source distributed time series database with no external dependencies. It's useful for recording metrics, events, and performing analytics. It has a built-in HTTP API so you don't have to write any server side code to get up and running. InfluxDB is designed to be scalable, simple to install and manage, and fast to get data in and out. It aims to answer queries in real-time. That means every data point is indexed as it comes in and is immediately available in queries that should return in < 100ms.
This is a metapackage bringing in influxdb extras requires for python3-apache-airflow. It makes sure the dependencies are installed.
Our Subscription Manager utilises X509 certificates to define the product(s) a system is built upon/subscribed to. This is the product for Grafana - A Graphite & InfluxDB Dashboard and Graph Editor
Performance Co-Pilot (PCP) front-end tools for exporting metric values to InfluxDB (https://influxdata.com/time-series-platform/influxdb).