pino
SLF4J
pino | SLF4J | |
---|---|---|
38 | 23 | |
13,297 | 2,262 | |
1.3% | 0.7% | |
8.6 | 7.8 | |
5 days ago | 22 days ago | |
JavaScript | Java | |
MIT License | MIT License |
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pino
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Migrate Your Express Application to Fastify
Learn more about logging in Fastify and how to customize the Pino logger.
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Logs monitoring with Loki, Node.js and Fastify.js
The Fastify framework includes the Pino logger by default (a really great logger with lots of cool features that doesn't compromise on performance). The framework itself allows a lot of really cool stuff, like controlling the level of logs at runtime.
- Advice on Node Logging to Google Cloud Platform
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Getting Started with Fastify for Node.js
Fastify provides a built-in logging mechanism based on Pino that allows you to capture various events in your applications. Once enabled, Fastify logs all incoming requests to the server and errors that occur while processing said requests. It also provides a convenient way to log custom messages through the log() method on the Fastify instance or the request object.
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10 Powerful Node.js Libraries Every Developer Should Know About
1. pino
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Node.js 20 Released: Experimental Perms, new V8, and Single Executable Apps
Vitest is for frontend. Jest is not good for backend (I don’t like it for frontend either), take a look at this issue.
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What is the preferred stack for managing medium to large-size logs?
Have a look at https://github.com/pinojs/pino
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Logging in your API
NodeJS -> Pino, Winston, Bunyan, Npmlog, e.t.c.
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Logging practices
Use a configurable logger like pino
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Logging - correlationId - headers - how?
Using pino as a logger, for every request on the _server_ , a unique ID generated client side in the headers, so a log may be something like:
SLF4J
- Slf4j.org TLS Certificate Expired
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dazl — a facade for configurable/pluggable Go logging
A few years ago, my team moved from Java to Go. Working on Go projects, we encountered a wide variety of logging frameworks with different APIs, configuration, and formatting. We soon found ourselves longing for a logging abstraction layer like Java’s slf4j, which had proven invaluable for use in reusable libraries or configuring and debugging production systems. So, not long after moving to Go, we began working toward replacing what we had lost in slf4j.
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Fargate logging thru console awslogs or directly to Cloudwatch?
I'm not familiar with Serilog as I code mostly in Java, use slf4j (logs to stdout) and our apps send logs to Cloudwatch using the task definition's awslogs configuration. I prefer it this way because I can customize the log configurations in my task definitions. Also the default stream name has this format prefix-name/container-name/ecs-task-id so I can easily identify the logs of the task I want to look at. I haven't experienced any downsides with this approach and our apps publish a shit ton of logs. Cloudwatch approach looks like you can customize the stream name?
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How does Loggers get multiple parameters in functions
slf4j is open source. You can look at the code.
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Logging in your API
Java -> Logback, Log4j2, JDK (Java Util Logging), Slf4j, e.t.c.
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Primeiros passos no desenvolvimento Java em 2023: um guia particular
slf4j para padronização dos logs;
- What are some of the biggest problems you personally face in Java?
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must known frameworks/libs/tech, every senior java developer must know(?)
SLF4J
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Go standard library: structured, leveled logging
> My God. Logging in protobuf?
Yes, or any other data format and/or transport protocol.
I'm surprised this is up for debate.
> Logging is the lowest of all debugging utilities - its the first thing you ever do writing software - “hello world”. And, while I admire structural logging, the truth is printing strings remains (truly) the lowest common denominator across software developers.
This sort of comment is terribly miopic. You can have a logging API, and then configure your logging to transport the events anywhere, any way. This is a terribly basic feature and requirement, and one that comes out of the box with some systems. Check how SLF4J[1] is pervasive in Java, and how any SLF4J implementation offers logging to stdout or a local file as a very specific and basic usecase.
It turns out that nowadays most developers write software that runs on many computers that aren't stashed over or under their desks, and thus they need efficient and convenient ways to check what's happening either in a node or in all deployments.
[1] https://www.slf4j.org/
- Logback en Springboot
What are some alternatives?
winston - A logger for just about everything.
Apache Log4j 2 - Apache Log4j 2 is a versatile, feature-rich, efficient logging API and backend for Java.
Bunyan - a simple and fast JSON logging module for node.js services
Logbook - An extensible Java library for HTTP request and response logging
console-log-level - The most simple logger imaginable
tinylog - tinylog is a lightweight logging framework for Java, Kotlin, Scala, and Android
log4js-node - A port of log4js to node.js
kibana - Your window into the Elastic Stack
winston-daily-rotate-file - A transport for winston which logs to a rotating file each day.
graylog - Free and open log management
opentelemetry-specification - Specifications for OpenTelemetry
Logback - The reliable, generic, fast and flexible logging framework for Java.