Redis VS Polly

One of the challenges Redis labs here have is that there's very little reason for their userbase to stay loyal to them.

antirez retired from Redis development a few years ago.

From https://github.com/redis/redis/graphs/contributors it looks like activity since he left has been mostly from people who didn't overlap with him much.

Redis Labs have not shown themselves to be outstanding stewards of the project as far as I can tell. Why shouldn't people support the fork?

Redis

Redis - real time data storage with different data structures in a cache

[0] https://github.com/redis/redis/blob/unstable/CONTRIBUTING.md

Cache: a Redis cache

In our applications, we should wrap all requests to remote services in code that implements a retry policy that follows one of the strategies I listed earlier. If you are a .NET developer like myself, you may be familiar with the Polly library. Golang has a library called Retry, and there are numerous third-party libraries for Python and Java.

Another question that rises is, would it be better to use some HttpClient package to handle the requests, like Refit in combination with Polly. But then again, it seems Refit also uses the HttpClient factory, which was a bad thing according to the previous?

D'Oh! Sorry, not PolySharp. I meant Polly. Too many similarly-named libraries!

Everywhere I've worked with AGs, we've worked with the application team to add retry logic to help make things a bit more seamless to end users. There are libraries out there that can make this pretty easy - Polly is one that I've used a few times, but there are others.

Fallacy 1: The network is reliable. If system 2 works perfectly well, but is not accessible for service 1 due to network issues, service 2 is still unavailable. This is why timeouts, service breakers and retry policies exist. A great tool for .NET to handle common network issues is Polly, but even when using a tool like this, the network is still not completely reliable.

I see. Then I don't have any better idea right now, but I do want to suggest that if your script is mostly API calls and you want to be able to deal with failures then take a look at the polly library: https://github.com/App-vNext/Polly

Runs in containers nicely, has good integration with Kafka, RabbitMQ, gRPC, etc. for Microservices communication. Implements resiliency patterns you'd want in Microservices via Polly. Has a decent Dependency Injection framework built in by default.

It's in no way hidden. But I use Polly all the time.

Depending if the sender or the reciever is down, you can also try Polly http://www.thepollyproject.org/