scout_apm_ruby
logstash-logback-encoder
scout_apm_ruby | logstash-logback-encoder | |
---|---|---|
2 | 8 | |
190 | 2,399 | |
2.1% | 0.5% | |
5.6 | 4.2 | |
about 1 month ago | 2 months ago | |
Ruby | Java | |
GNU General Public License v3.0 or later | Apache License 2.0 |
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scout_apm_ruby
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Tracing: Structured Logging, but better in every way
* trying to profile code, we used a modified version of Stackprof to do sampling instead of exact profiling. That worked surprisingly well at finding hotspots, with low overhead.
All sorts of other tricks came along too. I should go look at that codebase again to remind me. That'd be good for my resume.... :)
https://github.com/scoutapp/scout_apm_ruby
- Issues Installing scout_apm_ruby - SCOUT_DEV_TRACE
logstash-logback-encoder
- Tracing: Structured Logging, but better in every way
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Do you have a guideline on logging
I use the logstash json format.
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How to do JSON logging in Scala?
We're using https://github.com/logfellow/logstash-logback-encoder with logback (on Play Framework, but should work fine on Lambda as well).
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JSON logging for JSON REST services vs performance
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.
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Echopraxia, a better Java Logging API
what's the difference to https://github.com/logfellow/logstash-logback-encoder ??
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Is it reasonable to transform log4jlogs in via a configuration file?
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.
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Java Spring Application logging to WS endpoint
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
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Spring Cloud Sleuth in action
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:
What are some alternatives?
Rails Performance - Monitor performance of you Rails applications (self-hosted and free)
spring-cloud-sleuth-in-action - π Spring Cloud Sleuth in Action
Skylight - Skylight agent for Ruby
logback-gelf - Logback appender for sending GELF messages with zero additional dependencies.
yabeda-http_requests - Buildin metrics for monitor external HTTP requests
zipkin - Zipkin is a distributed tracing system
SchwadPerformanceLogger - Benchmarking your code, made simple.
logstash-appender - A log4j appender that sends raw JSON directly to Logstash
Instrumental - Ruby Agent for Instrumental Application Monitoring
logback-android - πThe reliable, generic, fast and flexible logging framework for Android
New Relic - New Relic RPM Ruby Agent
kafkacat - Generic command line non-JVM Apache Kafka producer and consumer [Moved to: https://github.com/edenhill/kcat]