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trentm
node-bunyan
JavaScript2013–2023
trentm / node-bunyan

node-bunyan

a simple and fast JSON logging module for node.js services

6Distinct people
7Mentions
0Explicit recommenders
7.2KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

a simple and fast JSON logging module for node.js services

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 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 3:56:07 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 year7 dated mentions

Observed mentions: 2013-09-30 19:38:13 UTC to 2023-08-23 16:38:46 UTC.

0122013-01-01 00:00:00 UTC to 2014-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments20132014-01-01 00:00:00 UTC to 2015-01-01 00:00:00 UTC (exclusive): 1 mentions; 1 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 comments2017-01-01 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): 0 mentions; 0 submissions, 0 comments20182019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2023

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
20132013-01-01 00:00:00 UTC2014-01-01 00:00:00 UTC101
20142014-01-01 00:00:00 UTC2015-01-01 00:00:00 UTC110
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 UTC000
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC101
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC202
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC000
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC000
20232023-01-01 00:00:00 UTC2024-01-01 00:00:00 UTC101

What Hacker News says

7 sources
> But if some log message uses an attribute you haven't anticipated in the format definition, there's no way to see it in the pretty-printed output Properties in the log message that are not in the "line-format" are displayed below the message as key-value pairs. As an example, the bunyan[1] log format[2] has a few standard properties that are used in the "line-format" to form the main message. Then, as shown in this test[3] for this log[4], the remaining properties (even ones not mentioned in the format file) are shown underneath. > or filter on it in the UI Since they are part of the message as mentioned above, they can be filtered on. > and no ability to see it in the SQLite virtual table. The "log_raw_text" column in the table can be used to access the original log message from the file. So, you can use the JSON functions in SQLite
Read the rest
In Structured logging with slog
Agree with everything you've said, but MDC does have one big drawback: it's only convenient when you're working within a single thread. If you're writing asynchronous code (Scala, Akka, Vert.x etc) then MDC doesn't help you very much. [1] I generally find it easier to have an explicit "context" object and pass that around in an operation, and then log once that context has been built up. If you're lucky, the logging framework will do that for you. Bunyan did this the Right Way from the get go, using `log.child`. [2] [1] https://tersesystems.github.io/blindsight/usage/context.html... [2] https://github.com/trentm/node-bunyan#logchild
In Good Logging
That depends on where the ringbuffer is placed. If you're placing the ringbuffer inside an appender, then the appender's encoder will format. However, if the ringbuffer itself is an appender, then you can store the logging events as is until it's time to dump them -- this is the approach in terse-logback [1] Another option is to put the ringbuffer BEFORE sending it to the logging framework, so it's never processed by SLF4J at all. This means that it's more accessible to the application, at the cost of losing the initial timestamp of the logging event. This is the approach taken in Blindsight. [2] Shout out to Bunyan, which is (AFAIK) the only server side logging framework that has ringbuffers out of the box. [3] [1] https://tersesystems.github.io/terse-logback/guide/ringbuffe... [2] https://tersesystems.github.io/blindsight/usage/buff
Read the rest
In Good Logging

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