Community Apps

A Grafana remote image renderer that handles rendering panels & dashboards to PNGs using headless chrome. Read Grafana Image Renderer documentation and see usage instructions at readme link. In order to use this as a plugin of your Grafana docker instance you must add this enviromental arguments to that container: - GF_RENDERING_SERVER_URL: http://renderer-ip:8081/render - GF_RENDERING_CALLBACK_URL: http://grafana-ip:3000/ Change the IP (and the ports) to suit your configuration.

Meet Gus! He has everything you need to start monitoring Unraid in style (Grafana - Influxdb - Telegraf - Loki - Promtail). NOTE: Grafana always requires some customisation to suit each exact system. Includes both GUS demo Dashboard and Ultimate UNRAID Dashboard v1.3 (UUD - https://forums.unraid.net/topic/96895-ultimate-unraid-dashboard-uud/). High-level instructions: (1) Decide whether you want hddtemp or S.M.A.R.T (smartmontools) and set USE_HDDTEMP variable accordingly. Hint: GUS and UUD both use S.M.A.R.T (2) Install docker with host network. (3) Go to ip:3006 to access grafana, login with admin/admin and customize away. For more detailed instructions, refer to the support thread (https://forums.unraid.net/topic/96233-support-testdasi-repo/) or project page (https://github.com/testdasi/grafana-unraid-stack).

Grafana Mimir provides horizontally scalable, highly available, multi-tenant, long-term storage for Prometheus. NOTE: 1. Download the config.yml file from https://raw.githubusercontent.com/masterwishx/unraid-templates/main/configs/mimir/mimir.yaml before you start the container. Place into your Host Path 2. More Info: https://github.com/grafana/mimir/blob/main/docs/configurations/demo.yaml https://github.com/grafana/mimir/blob/main/docs/configurations/single-process-config-blocks.yaml Add to Prometheus: scrapes itself and writes those metrics to Grafana Mimir remote_write: - url: http://192.168.0.199:9009/api/v1/push Add Mimir Datasource in Grafana : http://192.168.0.199:9009/prometheus

A custom grafana image that auto provisions the datasource and dashboards for use with the TeslaMate container. Default user/pass is admin/admin Note, this container will need permission to write to the /mnt/user/appdata/teslamate/grafana/ directory - please adjust permissions accordingly. An easy way to do this is as follows... BEFORE adding this container, run the following command on your unRAID system, just copy/paste the entire command into the unRAID web terminal. mkdir /mnt/user/appdata/teslamate && mkdir /mnt/user/appdata/teslamate/grafana && chmod 0777 /mnt/user/appdata/teslamate/grafana If you run the container w/out this command and it fails to allow creating the SQLite DB, then an easy way to allow the proper permissions after would be just to do a chmod 0777 /mnt/user/appdata/teslamate/grafana

VictoriaMetrics is a fast, cost-effective and scalable monitoring solution and time series database. TLDR: It is a faster, more lightweight replacement to InfluxDB/TimescaleDB/etc (up to 20x faster data digestion, up to 7-10x less ram usage). Can be used in place of InfluxDB in many apps such as HomeAssistant. Includes a great web UI for query exploration. For HomeAssistant: drop in replacement for InfluxDB, see https://community.home-assistant.io/t/influxdb-vs-victoriametrics/453361 Git repository: https://github.com/VictoriaMetrics/VictoriaMetrics Dockerhub: https://hub.docker.com/r/victoriametrics/victoria-metrics Website: https://victoriametrics.com VictoriaMetrics prominent features: - Long-term storage for Prometheus. - Drop-in replacement for Prometheus and Graphite in Grafana. - Easy setup and operation with a single executable and configuration via command-line flags. - Fast backups with vmbackup/vmrestore tools. - Implements MetricsQL query language. - Global query view for multiple data sources. - High performance and scalability, outperforming InfluxDB and TimescaleDB by up to 20x. - Efficient RAM usage, 10x less than InfluxDB and up to 7x less than others. - Optimized for high-churn time series data. - High data compression, storing up to 70x more data points in limited storage. - Ideal for high-latency IO and low IOPS storage. - Can substitute moderately sized clusters of competing solutions. - Protects data from corruption on unclean shutdown. - Supports various metrics protocols, including Prometheus, InfluxDB, Graphite, OpenTSDB, and more. - Offers stream aggregation, metrics relabeling, and series limiting. - Suitable for diverse data sources like APM, Kubernetes, IoT, financial data, and more. - Open source cluster version. - Compatible with NFS-based storages like Amazon EFS and Google Filestore.