Adding upstream version 1.29.3.upstream/1.29.3upstream

Signed-off-by: Daniel Baumann <daniel.baumann@progress-linux.org>

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+<!--
+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&#8596;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)](<>)