Facette
Statsd
Facette | Statsd | |
---|---|---|
- | 6 | |
1,151 | 17,481 | |
0.0% | 0.3% | |
0.0 | 5.1 | |
over 2 years ago | 4 months ago | |
Go | JavaScript | |
BSD 3-clause "New" or "Revised" License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Facette
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Tracking mentions began in Dec 2020.
Statsd
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Building Cages - Creating better DX for deploying Dockerfiles to AWS Nitro Enclaves
statsD for metrics
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Elixir metrics and StatsD
StatsD is a network daemon that listens for statistics, like counters and timers, sent over UDP or TCP and sends aggregates to one or more pluggable backend services.
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How to track profile page views per day, weekly, monthly and amount of times file was downloaded per product per day / week / month? - Without adding 1000+ database entries?
If you are essentially tracking an incremental number, statsd was made specifically for this task. It's lightning fast and you can setup different metrics for each scenario you mentioned.
- Help with getting started with Metrics, Logging and tracing
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Practical OCaml
It reads only 8 KB of data by default; this should be enough for StatsD metrics lines based on the StatsD documentation. Also, that's what Alan Ning's Rust implementation does.
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Introduction to StatsD
StatsD GitHub repository Scaling StatsD in DoorDash Netdata StatsD reference documentation
What are some alternatives?
RRDReST - Converts RRD Files to a easy to consume ReST API
Collectd - The system statistics collection daemon. Please send Pull Requests here!
Grafana - The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more.
prometheus - The Prometheus monitoring system and time series database.
InfluxDB - Scalable datastore for metrics, events, and real-time analytics
RRDtool - RRDtool 1.x - Round Robin Database
Graphite - A highly scalable real-time graphing system
PGObserver - A battle-tested, flexible & comprehensive monitoring solution for your PostgreSQL databases
tcollector - Data collection framework for OpenTSDB
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.