StatsD might be a bit more popular than InfluxData. We know about 2 links to it since March 2021 and only 2 links to InfluxData. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
I would highly recommend using a proper Time Series Database like QuestDB or InfluxDB to do this instead. You can always export data from wither of those two into Excel if your boss wants it in excel, but it's much easier to do data transformations, create graphs and reports, etc. If you have all the data in a proper database. Source: over 2 years ago
I would suggest using something better suited to IoT data than ... a spreadsheet. I'd recommend looking at one of the Time Series Databases for this. 1) QuestDB or 2) InfluxDB as these are much better suited to streaming data. Source: over 2 years ago
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. - Source: dev.to / about 2 years ago
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. Source: over 2 years ago
TimescaleDB - TimescaleDB is a time-series SQL database providing fast analytics, scalability, with automated data management on a proven storage engine.
Prometheus - An open-source systems monitoring and alerting toolkit.
Nagios - Complete monitoring and alerting for servers, switches, applications, and services
MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
Datadog - See metrics from all of your apps, tools & services in one place with Datadog's cloud monitoring as a service solution. Try it for free.
MapR Converged Data Platform - An enterprise-grade distributed data platform that you can trust to reliably store and process big and fast data.