What is StatsD?
It is a network daemon that runs on the Node.js platform and listens for statistics, like counters and timers, sent over UDP or TCP and sends aggregates to one or more pluggable backend services (e.g., Graphite).
StatsD is a tool in the Monitoring Tools category of a tech stack.
StatsD is an open source tool with 15.4K GitHub stars and 1.9K GitHub forks. Here’s a link to StatsD's open source repository on GitHub
Who uses StatsD?
84 companies reportedly use StatsD in their tech stacks, including Shopify, Robinhood, and Lyft.
128 developers on StackShare have stated that they use StatsD.
Node.js, Docker, Datadog, Traefik, and Graphite are some of the popular tools that integrate with StatsD. Here's a list of all 13 tools that integrate with StatsD.
Pros of StatsD
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- Network daemon
- Runs on the Node.js platform
- Sends aggregates to one or more pluggable backend services
StatsD Alternatives & Comparisons
What are some alternatives to StatsD?
See all alternatives
collectd gathers statistics about the system it is running on and stores this information. Those statistics can then be used to find current performance bottlenecks (i.e. performance analysis) and predict future system load (i.e. capacity planning). Or if you just want pretty graphs of your private server and are fed up with some homegrown solution you're at the right place, too.
Prometheus is a systems and service monitoring system. It collects metrics from configured targets at given intervals, evaluates rule expressions, displays the results, and can trigger alerts if some condition is observed to be true.
InfluxDB is a scalable datastore for metrics, events, and real-time 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 is an agent for collecting, processing, aggregating, and writing metrics. Design goals are to have a minimal memory footprint with a plugin system so that developers in the community can easily add support for collecting metrics.
Logstash is a tool for managing events and logs. You can use it to collect logs, parse them, and store them for later use (like, for searching). If you store them in Elasticsearch, you can view and analyze them with Kibana.