I think the key point here is that all the above mentioned implementations have significant adoption and are in a sense "battle-tested". For example, what if your background worker has failed and log events are piling up in the Redis list you are using as queue? Do you have monitors in place to detect that situation, and at what value do your alarms go off? Projects like this have a way of taking a lot more time than originally thought, often at the expense of your core development time. I personally don't like spending the time writing and maintaining code for a project that isn't aligned with the problem I'm trying to solve, so I avoid it whenever possible.
On the flip side, if you are setting out to build a really robust logging system on top of Redis, and that's something of value to your organization, then more power to you!
The thing to realize here is that Redis isn't like Riak or Mongodb or even MySQL. It is stupid simple to stand up a Redis instance. The code to push logs to it: also stupid simple. Even without clever indexing, just stuffing text crud into it, Redis is already natively a great log store.
tail -n 1000