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Graylog2
graylog2-server
Java2011–2021
Graylog2 / graylog2-server

graylog2-server

Free and open log management

6Distinct people
6Mentions
0Explicit recommenders
8.2KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Free and open log management

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 8–Nov 15 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/15/2026, 4:00:59 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by year6 dated mentions

Observed mentions: 2011-05-20 14:00:59 UTC to 2021-04-12 20:33:42 UTC.

0122011-01-01 00:00:00 UTC to 2012-01-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments20112012-01-01 00:00:00 UTC to 2013-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2013-01-01 00:00:00 UTC to 2014-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2014-01-01 00:00:00 UTC to 2015-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2015-01-01 00:00:00 UTC to 2016-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2016-01-01 00:00:00 UTC to 2017-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments20162017-01-01 00:00:00 UTC to 2018-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 2 mentions; 1 submissions, 1 comments2021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2021

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
20112011-01-01 00:00:00 UTC2012-01-01 00:00:00 UTC110
20122012-01-01 00:00:00 UTC2013-01-01 00:00:00 UTC000
20132013-01-01 00:00:00 UTC2014-01-01 00:00:00 UTC000
20142014-01-01 00:00:00 UTC2015-01-01 00:00:00 UTC000
20152015-01-01 00:00:00 UTC2016-01-01 00:00:00 UTC000
20162016-01-01 00:00:00 UTC2017-01-01 00:00:00 UTC000
20172017-01-01 00:00:00 UTC2018-01-01 00:00:00 UTC101
20182018-01-01 00:00:00 UTC2019-01-01 00:00:00 UTC101
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC000
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC211
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC101

What Hacker News says

2 sources
> TimescaleDB is purpose-built for time-series workloads, so that you can get orders of magnitude better performance at a fraction of the cost, along with a much better developer experience. This means massive scale (100s billions of rows and millions of inserts per second on a single server), 94%+ native compression, 10-100x faster queries than PostgreSQL, InfluxDB, Cassandra, and MongoDB – all while maintaining the reliability, ease-of-use, SQL interface, and overall goodness of PostgreSQL. WITH the links to back up their analysis/comparisons. I think I was first sold the hardest on Timescale when I read the InfluxDB post. Timescale also releasing their hard work over the last ~3 years with a very permissive, surprisingly business friendly license[0] which was previously discussed on HN[1]. This is pretty huge -- personally one of the t
Read the rest
hings I'm really looking forward to is using Postgres as a backing store for Prometheus now, which timescale actually worked on[2] already. If you look really closely, there's actually a way to get all your observability data into Postgres (i.e. zipkin/jaeger, logs, and prometheus for metrics), and Timescale is going to make all of those things easier to scale and maintain. For those following along at home, postgres already has some not terrible full text search[3] and ways to integrate with elasticsearch like zombodb[4]... [EDIT] - Just to make what I'm hinting at a little clearer, I think you might be able to build a Graylog[5] type system really easily with just Postgres these days. Imagine deploying a single binary that only needs a single database to do everything it needs to do. [0]: https://blog.timescale.com/blog/building-open-source-busines... [1]: https://news.ycombinator.com/item?id=24579905 [2]: https://github.com/timescale/promscale [3]: https://www.postgresql.org/docs/current/textsearch.html [4]: https://www.zombodb.com/ [5]: https://github.com/Graylog2/graylog2-server/
In TimescaleDB 2.0 released, now distributed multi-node

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