Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Graphite Influxdb | 201 | 1 | 7 years ago | 7 | September 16, 2014 | 10 | apache-2.0 | Python | ||
An influxdb backend for Graphite-web and graphite-api | ||||||||||
Pastash | 96 | 3 | 3 months ago | 14 | November 18, 2021 | 31 | apache-2.0 | JavaScript | ||
pastaʃ'ʃ = Spaghetti I/O Event Data Processing, Interpolation, Correlation and beyond :spaghetti: | ||||||||||
Statsd Elasticsearch Backend | 88 | 6 years ago | 10 | mit | JavaScript | |||||
Elasticsearch backend for statsd | ||||||||||
Graylog Plugin Metrics Reporter | 76 | 2 years ago | 14 | gpl-3.0 | Java | |||||
Graylog Metrics Reporter Plugins | ||||||||||
Elasticsearch River Kafka | 71 | 8 years ago | 11 | apache-2.0 | Java | |||||
Kafka River Plugin for ElasticSearch | ||||||||||
Ningjs | 37 | 8 years ago | JavaScript | |||||||
:rainbow: Demo project + slides for #NingJS conference (2016) in NanJing, China :cn: | ||||||||||
Statsvm | 28 | 10 years ago | Shell | |||||||
VM that installs graphite, statsd, and grafana | ||||||||||
Grafana Vagrant Puppet Box | 24 | 8 years ago | 4 | mit | Shell | |||||
Simple vagrant box, bundled with graphite, statsd, carbon and grafana frontend | ||||||||||
Docker_grafana_statsd_elk | 18 | 5 years ago | apache-2.0 | Dockerfile | ||||||
Docker repo for a general purpose graphing and logging container - includes graphite+carbon, grafana, statsd, elasticsearch, kibana, nginx, logstash indexer (currently using redis as an intermediary) | ||||||||||
Invokelabs Ansible Roles | 17 | 10 years ago | apache-2.0 | Python | ||||||
These are Ansible plays for particular server roles. The directory structure follow the recommended Ansible directory structure. Ansible uses the directory structure to auto-locate various needed files during the playbook run. The Ansible [documentation](http://www.ansibleworks.com/docs/playbooks.html#roles) outlines the details of how this structure is used. |