logback-gelf
logstash-logback-encoder
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logback-gelf | logstash-logback-encoder | |
---|---|---|
2 | 8 | |
208 | 2,386 | |
- | 1.2% | |
8.0 | 5.2 | |
14 days ago | 20 days ago | |
Java | Java | |
GNU Lesser General Public License v3.0 only | Apache License 2.0 |
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logback-gelf
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Newbie dependency issue
I browsed to https://mvnrepository.com/artifact/de.siegmar/logback-gelf to find an updated version (4.0.2) and when I go to the linked github and view the changelog (https://github.com/osiegmar/logback-gelf/blob/master/CHANGELOG.md) of that version it clearly indicates that it upgraded logback components to 1.2.9. Actually it reads "Update dependency to logback 1.2.9" and the linked issue clearly indicates a fix to the CVE raised by OWASP dependency check.
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Logging GELF Log messages to Seq in Kotlin
logback-gelf
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?
Logback - The reliable, generic, fast and flexible logging framework for Java.
spring-cloud-sleuth-in-action - π Spring Cloud Sleuth in Action
SLF4J - Simple Logging Facade for Java
zipkin - Zipkin is a distributed tracing system
logstash-gelf - Graylog Extended Log Format (GELF) implementation in Java for all major logging frameworks: log4j, log4j2, java.util.logging, logback, JBossAS7 and WildFly 8-12
logstash-appender - A log4j appender that sends raw JSON directly to Logstash
nzyme - Network Defense System.
logback-android - πThe reliable, generic, fast and flexible logging framework for Android
graylog - Free and open log management
kafkacat - Generic command line non-JVM Apache Kafka producer and consumer [Moved to: https://github.com/edenhill/kcat]
tproxy-java - A small transparent proxy written in java
json-log-filter - High-performance filtering of to-be-logged JSON, for example for request-/response-logging in the cloud.