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diff --git a/backends/TIMESCALE.md b/backends/TIMESCALE.md deleted file mode 100644 index 05a3c3b47..000000000 --- a/backends/TIMESCALE.md +++ /dev/null @@ -1,57 +0,0 @@ -<!-- -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)](<>) |