sarama VS Mercure

Note: Since there are multiple Go clients for Kafka (including Sarama), please make sure to consult their client documentation to confirm whether they support IAM authentication.

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

I've used mainly sarama wrapped with a bit of bespoke helper libraries. Never really looked into others, just grabbed one that was actively maintained and went for it.

Well, as someone who reviews a lot of code, I don't like seeing 100s of little files when a handful of logically grouped files would do. For example, this popular go project: https://github.com/Shopify/sarama is currently 256 small .go files, largely following a one class/file rule.

The first example is something we ran into while working on a project. Up until recently, the sarama library (Go library for Apache Kafka) contained the following piece of code (at sarama/version.go):

Im using the go sarama library to connect to the cluster, using this basic example.

If you find the kafka input slow, try kafka_franz. It might be a bit faster, since it’s based on https://github.com/twmb/franz-go. The kafka one is based on https://github.com/Shopify/sarama. You can also write a custom input based on https://github.com/confluentinc/confluent-kafka-go, but this library relies on CGo, which can be annoying.

There are a few factors that are stopping me from using kafka-go over Shopify's sarama.

Are you aware of things like websockets and mercure.rocks?

It could be implemented with STOMP, or Mercure (goes well with API-Platform, written in PHP/Symfony), you could write your own with the help of nchan and scale it via Redis. If it's a web service, the best practices for operating and scaling are well established, Godot then just becomes another client.

You can try https://mercure.rocks/.

It's worth looking at something like Mercure , which is used by API Platform

Pusher might be one of these systems, Mercure is another one (which you can host yourself). Mercure has good documentation and some examples in various languages, including PHP: https://mercure.rocks/docs/ecosystem/awesome#examples.

You can use Mercure https://mercure.rocks/ , Mercure uses http2.

I actually was thinking about this when I saw https://github.com/dunglas/mercure project to become a Caddy plugin. But I did not find enough reasoning to try this with Centrifugo at that point, and still... Seems awesome from one side - tight integration with a web-server, no extra network between LB and Centrifugo. But will this be useful in practice and find its users? 🤔 That's the question I don't have an answer yet.

Polling is kind of ok (data might change between poll events), but real-time updates are better. So If you don't mind adding an extra service, then take a look at mercure.

Two more questions: - Am I to understand The Guild now recommends GraphQL Yoga over Helix? - Could something like Mercure be included in the recipes ? (this would be a nice solution for serverless)