echopraxia-plusscala
logstash-logback-encoder
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echopraxia-plusscala | logstash-logback-encoder | |
---|---|---|
3 | 8 | |
3 | 2,386 | |
- | 1.2% | |
8.8 | 5.2 | |
about 20 hours ago | 19 days ago | |
Scala | Java | |
Apache License 2.0 | Apache License 2.0 |
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echopraxia-plusscala
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How to do JSON logging in Scala?
So I hope the simplest way to do this is echopraxia-plusscala. (ObDisclaimer, I am author.)
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Why would I wrap logging into an effect?
I've been working on https://github.com/tersesystems/echopraxia-plusscala to make logging easier, let me know what you think.
- Some notes on developing a structured logging API for Scala
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?
magnolia - Easy, fast, transparent generic derivation of typeclass instances
spring-cloud-sleuth-in-action - 🍀 Spring Cloud Sleuth in Action
logback-gelf - Logback appender for sending GELF messages with zero additional dependencies.
zipkin - Zipkin is a distributed tracing system
logstash-appender - A log4j appender that sends raw JSON directly to Logstash
logback-android - 📄The reliable, generic, fast and flexible logging framework for Android
kafkacat - Generic command line non-JVM Apache Kafka producer and consumer [Moved to: https://github.com/edenhill/kcat]
json-log-filter - High-performance filtering of to-be-logged JSON, for example for request-/response-logging in the cloud.
libcurl - A command line tool and library for transferring data with URL syntax, supporting DICT, FILE, FTP, FTPS, GOPHER, GOPHERS, HTTP, HTTPS, IMAP, IMAPS, LDAP, LDAPS, MQTT, POP3, POP3S, RTMP, RTMPS, RTSP, SCP, SFTP, SMB, SMBS, SMTP, SMTPS, TELNET, TFTP, WS and WSS. libcurl offers a myriad of powerful features
echopraxia - Java Structured Logging API for Logback, Log4J2, and JUL
slf4j-benchmark - Microbenchmark of SLF4J / Logback using JMH
zerolog - Low-overhead logging façade for performance-sensitive applications