Benthos
zap
Benthos | zap | |
---|---|---|
76 | 51 | |
7,617 | 21,002 | |
2.7% | 1.1% | |
9.7 | 8.1 | |
8 days ago | 11 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.
Benthos
- Ask HN: Who is hiring? (December 2023)
- Structured Logging with Slog
- Fancy stream processing made operationally mundane
- Benthos: Fancy stream processing made operationally mundane
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Any golang library to batch process a queue ?
I’ve used https://www.benthos.dev/ and it’s really easy and well implemented. The author is also very responsive
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Show HN: Arroyo – Write SQL on streaming data
Looks cool. What is the difference between this tools and benthos (https://www.benthos.dev/)?
- Benthos: Open-source stream processing tool
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book about golang and kafka
You might want to gradually replace that one with https://github.com/twmb/franz-go because Shopify is looking to find a new owner for Sarama and, until or if they do, it seems to be falling behind with maintenance: https://github.com/Shopify/sarama/issues/2461 For example, they still haven’t addressed this breaking change https://github.com/Shopify/sarama/issues/2358. franz-go has worked well so far in Benthos https://github.com/benthosdev/benthos/tree/main/internal/impl/kafka and it will likely end up as the only implementation once the Sarama-based one will be deprecated
- Show HN: Open-source Auth0 alternative Ory Kratos v0.13 released – nearing v1.0
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Go in depth youtube channels?
I upload a mix of code reviews and live streams on https://www.youtube.com/@Jeffail, mostly building https://www.benthos.dev out in the open so the content ranges from beginner friendly stuff to more advanced things like stream processing, parser combinators, etc.
zap
- Desvendando o package fmt do Go
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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.
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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
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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!
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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?
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Why elixir over Golang
And finally for structured logging: https://github.com/uber-go/zap
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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?
Confluent Kafka Golang Client - Confluent's Apache Kafka Golang client
logrus - Structured, pluggable logging for Go.
appsmith - Platform to build admin panels, internal tools, and dashboards. Integrates with 25+ databases and any API.
zerolog - Zero Allocation JSON Logger
watermill - Building event-driven applications the easy way in Go.
slog
sarama - Sarama is a Go library for Apache Kafka. [Moved to: https://github.com/IBM/sarama]
glog - Leveled execution logs for Go
salsa - A generic framework for on-demand, incrementalized computation. Inspired by adapton, glimmer, and rustc's query system.
go-log - a golang log lib supports level and multi handlers
grpcurl - Like cURL, but for gRPC: Command-line tool for interacting with gRPC servers
log - Structured logging package for Go.