logstash-logback-encoder VS timbre

I use the logstash json format.

We're using https://github.com/logfellow/logstash-logback-encoder with logback (on Play Framework, but should work fine on Lambda as well).

For those interested in the details, I've created an example implementation based on Spring-flavoured REST and Logbook+logstash-logback-encoder within my own json-log-filter project for PoC / reference.

what's the difference to https://github.com/logfellow/logstash-logback-encoder ??

Don't use filebeat. Filebeat is for systems that you cannot change logging for. Push logs directly to logstash via logstash appender. Since I'm mainly logback user, there's one directly by logstash at https://github.com/logstash/logstash-logback-encoder. Quick search indicates that there's https://github.com/viskan/logstash-appender/ for log4j also and it seems it also supports MDC abuse as indicated by https://github.com/viskan/logstash-appender/blob/master/src/main/java/com/viskan/log4j/logstash/appender/LogstashAppender.java#L256. By abusing the MDC you won't need to write a processing pattern in logstash to extract metadata from giant blob line as each key in MDC will get assigned additional value, making your records in elastic search more useful.

You can use the Logstash Logback encooder. You mentioned Elk, so there must be a Logstash running somewhere you can connect to with this appender

We need to add traceId and spanId values to the application log. In production we would use the logstash-logback-encoder to generate logs in JSON format and send them to an ELK but for the demo we use this plain text logback layout:

There are logging libraries that include syntactically scoped timers, such as mulog (https://github.com/BrunoBonacci/mulog). While a great library, we preferred timbre (https://github.com/taoensso/timbre) and rolled our own logging timer macro that interoperates with it. More convenient to have such niceties in a Lisp of course.

Mentioning μ/log and no mention of timbre (https://github.com/taoensso/timbre), that is an odd omission. Malli is a great mention, but there ought to be a mention of clojure.spec (https://github.com/clojure/spec.alpha) which has much more mindshare.

If you're not familiar with lisps in general, it might be hard to grok the differences between lisp-macros (as used in Clojure) and "normal" macros you see in other languages.

But, if you are familiar already, and just wanna see examples of neat macros that makes the API nicer than what a function could provide, here are a few:

- https://github.com/clojure/core.async/blob/master/examples/w...

- https://github.com/weavejester/compojure

- https://github.com/ptaoussanis/timbre

- https://github.com/krisajenkins/yesql

When clj is invoked, two libraries will be available in our code: timbre logging library which artifacts taken from Maven, and test-runner, taken from GitHub.

No, I don't think they were hyped at any point.

They are used in certain libraries like https://github.com/ptaoussanis/timbre but for things that are simply not possible without macros, for example (timbre/spy (+ 1 1)) will actually print both the expression and the result:

DEBUG [ss.experimental.scratch:1] - (+ 1 1) => 2

Perhaps if the macros are "simple" they can be unpacked relatively easily. I do understand how mentally challenging that can be for somebody who's just starting with Clojure. I've been using Clojure for ~8 years and only just recently became more comfortable with macros after I made a conscious effort in that direction. I'm still far from an "expert" in them.