biancalana's repositories

collectd

The system statistics collection daemon. Mirror of the canonical repository (updated hourly), but feel free to send Pull Requests!

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collectd-freebsd-port

Patched version of FreeBSD port for collectd to allow build of redis and write_carbon plugins

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ansible

Ansible is a radically simple IT automation platform that makes your applications and systems easier to deploy. Avoid writing scripts or custom code to deploy and update your applications— automate in a language that approaches plain English, using SSH, with no agents to install on remote systems.

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carbon

Carbon is one of the components of Graphite, and is responsible for receiving metrics over the network and writing them down to disk using a storage backend.

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design-center

CFEngine community-contributed content

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Diamond

Diamond is a python daemon that collects system metrics and publishes them to Graphite (and others). It is capable of collecting cpu, memory, network, i/o, load and disk metrics. Additionally, it features an API for implementing custom collectors for gathering metrics from almost any source.

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freebsd

FreeBSD src tree

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go-gitlab

A GitLab API client enabling Go programs to interact with GitLab in a simple and uniform way

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kolla-ansible-workshop

Workshop materials for Kolla-ansible

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maddy

✉️ Composable all-in-one mail server.

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moira

Realtime Alerting for Graphite

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ngx_cache_purge

nginx module which adds ability to purge content from FastCGI, proxy, SCGI and uWSGI caches.

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nmon2graphite

nmon2graphite git public repository

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openstack-scripts

Simple scripts for openstack routines

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redis-distlock

Distributed lock manager using Redis

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snap

The open telemetry framework

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snap-plugin-collector-perfevents

Collects Linux cgroups perf metrics

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snap-plugin-collector-swap

Collects Linux swap metrics from /proc

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snap-plugin-processor-tag

Process snap metrics and add tags to label the data

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startbootstrap-sb-admin-2

A free, open source, Bootstrap admin theme created by Start Bootstrap

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statsdaemon

Metrics aggregation daemon like statsd, in Go and with a bunch of extra features.

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