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diff --git a/backends/TIMESCALE.md b/backends/TIMESCALE.md new file mode 100644 index 000000000..05a3c3b47 --- /dev/null +++ b/backends/TIMESCALE.md @@ -0,0 +1,57 @@ +<!-- +title: "Writing metrics to TimescaleDB" +custom_edit_url: https://github.com/netdata/netdata/edit/master/backends/TIMESCALE.md +--> + +# Writing metrics to TimescaleDB + +Thanks to Netdata's community of developers and system administrators, and Mahlon Smith +([GitHub](https://github.com/mahlonsmith)/[Website](http://www.martini.nu/)) in particular, Netdata now supports +archiving metrics directly to TimescaleDB. + +What's TimescaleDB? Here's how their team defines the project on their [GitHub page](https://github.com/timescale/timescaledb): + +> TimescaleDB is an open-source database designed to make SQL scalable for time-series data. It is engineered up from +> PostgreSQL, providing automatic partitioning across time and space (partitioning key), as well as full SQL support. + +## Quickstart + +To get started archiving metrics to TimescaleDB right away, check out Mahlon's [`netdata-timescale-relay` +repository](https://github.com/mahlonsmith/netdata-timescale-relay) on GitHub. + +This small program takes JSON streams from a Netdata client and writes them to a PostgreSQL (aka TimescaleDB) table. +You'll run this program in parallel with Netdata, and after a short [configuration +process](https://github.com/mahlonsmith/netdata-timescale-relay#configuration), your metrics should start populating +TimescaleDB. + +Finally, another member of Netdata's community has built a project that quickly launches Netdata, TimescaleDB, and +Grafana in easy-to-manage Docker containers. Rune Juhl Jacobsen's +[project](https://github.com/runejuhl/grafana-timescaledb) uses a `Makefile` to create everything, which makes it +perfect for testing and experimentation. + +## Netdata↔TimescaleDB in action + +Aside from creating incredible contributions to Netdata, Mahlon works at [LAIKA](https://www.laika.com/), an +Oregon-based animation studio that's helped create acclaimed films like _Coraline_ and _Kubo and the Two Strings_. + +As part of his work to maintain the company's infrastructure of render farms, workstations, and virtual machines, he's +using Netdata, `netdata-timescale-relay`, and TimescaleDB to store Netdata metrics alongside other data from other +sources. + +> LAIKA is a long-time PostgreSQL user and added TimescaleDB to their infrastructure in 2018 to help manage and store +> their IT metrics and time-series data. So far, the tool has been in production at LAIKA for over a year and helps them +> with their use case of time-based logging, where they record over 8 million metrics an hour for netdata content alone. + +By archiving Netdata metrics to a backend like TimescaleDB, LAIKA can consolidate metrics data from distributed machines +efficiently. Mahlon can then correlate Netdata metrics with other sources directly in TimescaleDB. + +And, because LAIKA will soon be storing years worth of Netdata metrics data in TimescaleDB, they can analyze long-term +metrics as their films move from concept to final cut. + +Read the full blog post from LAIKA at the [TimescaleDB +blog](https://blog.timescale.com/blog/writing-it-metrics-from-netdata-to-timescaledb/amp/). + +Thank you to Mahlon, Rune, TimescaleDB, and the members of the Netdata community that requested and then built this +backend connection between Netdata and TimescaleDB! + +[![analytics](https://www.google-analytics.com/collect?v=1&aip=1&t=pageview&_s=1&ds=github&dr=https%3A%2F%2Fgithub.com%2Fnetdata%2Fnetdata&dl=https%3A%2F%2Fmy-netdata.io%2Fgithub%2Fbackends%2FTIMESCALE&_u=MAC~&cid=5792dfd7-8dc4-476b-af31-da2fdb9f93d2&tid=UA-64295674-3)](<>) |