flipt VS nsq

We at https://flipt.io are putting on a buy vs build webinar in a couple of weeks to discuss this very thing as it's a common question that engineering teams seem to have.

If you're interested in attending its taking place on LinkedIn on April 17: https://www.linkedin.com/events/buildvs-buy-pickingafeaturef...

We're currently evaluating OPA for adding RBAC to our open-source application [0]. We plan on using the Go API [1] and doing the policy eval directly in our app since our app is also written in Go.

The thinking is we'll have some basic built-in policies (like admins can do X, editors can do Y, etc) but also allow users to configure their own policies if they want by writing rego and loading their policy rules at startup time (via config). We'd document the inputs that we pass to the evaluation call such as request headers, IP, role, etc.

I'm curious if anyone has ever tried something like this or similar?

[0] https://github.com/flipt-io/flipt

[1] https://www.openpolicyagent.org/docs/latest/integration/#int...

Flipt - Clickhouse integration for flag eval analytics

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Interesting. What are you thoughts on NSQ?

https://github.com/nsqio/nsq

Was looking at it earlier today, but haven't ever tried it out.

(G)NATS can do millions of messages per second and is the right tool for the job (either that or NSQ). Redis isn't even the fastest Redis protocol implementation, KeyDB significantly outperforms it.

Bit.ly's NSQ is also an excellent message queue option.

Queue consumers are interesting because there are many solutions for them, from using Redis and persisting the data in a data store - but for fast and scalable the approach I would take is something like SQS (as I advocate AWS even free tier) or NSQ for managing your own distributed producers and consumers.

distrubition server engine ( for example websocket server multi ws gateway and worker pool,nsq.io realtime message queue and so on)