logrus
zap
Our great sponsors
logrus | zap | |
---|---|---|
32 | 51 | |
24,055 | 20,947 | |
- | 1.7% | |
3.0 | 8.1 | |
about 1 month ago | 3 days ago | |
Go | Go | |
MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
logrus
-
Authentication system using Golang and Sveltekit - Initialization and setup
It's some sort of logging system well explained by Alex Edwards in Let’s Go Further. As stated, we could have used logrus or any other popular logging system in Go.
-
Renaming public Go modules
Option 2, please. You may not have been around for the logrus debacle, but it was a giant pain.
- What is the common log library which is industry standard that is used in server applications?
-
Observing AWS Lambda with Golang and Datadog
For the example I’m using the very popular logrus library and then I’m setting the log formatter to be JSON
-
Best Logging Library for Golang
For choosing the candidates for the poll, I didn't do any thorough research. I was looking for a library to use in my project at work, and I ended up at sirupsen/logrus which was already being used by one of the dependencies in that project.
-
Follow up to previous post: I contributed to an open source project outside working hours despite being asked not to. I was fired. No legal action.
I contribute to OSS as part of my job on the regular. The company is good about contributing upstream, signing CLAs, and all that. We still work against private forks for two main reasons: 1. Some changes that we need are not accepted by maintainers based on philosophical or architectural reasons that we can’t otherwise work around. You’re beholden to then unless you publicly fork the repo which has other legal/PR overhead for the company and OSS political implications. 2. Maintainers in the past have taken down repos, renamed repos, or changed the licensing on repos that have left us in a lurch. We always build against our own private forks because we need predictability and can’t be beholden to some other party for business continuity. We sync them down from the public upstream at our leisure.
-
Sourcehut will blacklist the Go module mirror
If they change the case on their username on the other hand, the Go ecosystem explodes: https://github.com/sirupsen/logrus/issues/570#issuecomment-3...
-
Lies we tell ourselves to keep using Golang
Like, for example, some projects importing logrus with a capital L and some with a lowercase L, and go modules having no way to reconcile the two: https://github.com/sirupsen/logrus/issues/553
-
go-coffeeshop - A practical coffee shop application event-driven microservices built with Golang
Ugh. Wish people would stop using logrus. It’s in maintenance mode and slow, especially its stack tracing.
- Criando uma API Rest com Fiber - Uma história pessoal de aprendizado
zap
- Desvendando o package fmt do Go
-
Building RESTful API with Hexagonal Architecture in Go
The project currently uses slog package from standard library for logging. But switching to a more advanced logger like zap could offer more flexibility and features.
-
Structured Logging with Slog
It's nice to have this in the standard library, but it doesn't solve any existing pain points around structured log metadata and contexts. We use zap [0] and store a zap logger on the request context which allows different parts of the request pipeline to log with things like tenantid, traceId, and correlationId automatically appended. But getting a logger off the context is annoying, leads to inconsistent logging practices, and creates a logger dependency throughout most of our Go code.
[0] https://github.com/uber-go/zap
-
Kubebuilder Tips and Tricks
Kubebuilder, like much of the k8s ecosystem, utilizes zap for logging. Out of the box, the Kubebuilder zap configuration outputs a timestamp for each log, which gets formatted using scientific notation. This makes it difficult for me to read the time of an event just by glancing at it. Personally, I prefer ISO 8601, so let's change it!
-
Go 1.21 Released
What else would you expect from a structured logging package?
To me it absolutely makes sense as the default and standard for 99% of applications, and the API isn't much unlike something like Zap[0] (a popular Go structured logger).
The attributes aren't an "arbitrary" concept, they're a completely normal concept for structured loggers. Groups are maybe less standard, but reasonable nevertheless.
I'm not sure if you're aware that this is specifically a structured logging package. There already is a "simple" logging package[1] in the sodlib, and has been for ages, and isn't particularly fast either to my knowledge. If you want really fast you take a library (which would also make sure to optimize allocations heavily).
[0]: https://pkg.go.dev/go.uber.org/zap
[1]: https://pkg.go.dev/log
- Efficient logging in Go?
-
Why elixir over Golang
And finally for structured logging: https://github.com/uber-go/zap
-
Beginner-friendly API made with Go following hexagonal architecture.
For logging: I recommend using Uber Zap https://github.com/uber-go/zap It will log stack backtraces and makes it super easy to debug errors when deployed. I typically log in the business logic and not below. And log at the entry for failures to start the system. Maybe not necessary for this example, but it’s an essential piece of any API backend.
- slogx - slog package extensions and middlewares
- Why it is so weirdo??
What are some alternatives?
zerolog - Zero Allocation JSON Logger
glog - Leveled execution logs for Go
slog
lumberjack - lumberjack is a log rolling package for Go
go-log - a golang log lib supports level and multi handlers
log15 - Structured, composable logging for Go
log - Structured logging package for Go.
seelog - Seelog is a native Go logging library that provides flexible asynchronous dispatching, filtering, and formatting.