While it's likely an easy process to drop in valkey, creating the new instances, migrating apps to those new instances, and making sure there's not some hidden regression (even though it's "drop in") all takes time.
At a minimum, 1 or 2 hours per app optimistically.
My company has hundreds of apps (hurray microservices). That's where "hundreds of hours" seems pretty reasonable to me.
We don't have a lot of redis use in the company, but if we did it'd have taken a bit of time to switch over.
Edit: Dead before I could respond but I figured it was worthwhile to respond.
> It's literally just redis with a different name, what is there to test?
I've seen this happen quite a bit in opensource where a "x just named y" also happens to include tiny changes that actually conflict with the way we use it. For example, maybe some api doesn't guarantee order but our app (in a silly manor) relied on the order anyways. A bug on us, for sure, but not something that would surface until an update of redis or this switch over.
It can also be the case that we were relying on an older version of redis, the switchover to valkey necessitates that we now bring in the new changes to redis that we may not have tested.
These things certainly are unlikely (which is why 1 or 2 hours as an estimate, it'd take more if these are more common problems). Yet, they do and have happened to me with other dependency updates.
At a minimum, simply making sure someone didn't fat finger the new valkey addresses or mess up the terraform for the deployment will take time to test and verify.
My understanding is that Valkey was forked directly from redis. So assuming you migrate at the forks point-in-time, then it literally is the same code.
At the very least you have to validate everything that touches redis, which means finding everything that touches redis. Internal tools and docs need to be updated.
And who knows if someone adopted post-fork features?
If this is a production system that supports the core business, hundreds of hours seems pretty reasonable. For a small operation that can afford to YOLO it, sure, it should be pretty easy.
cogman10|10 months ago
While it's likely an easy process to drop in valkey, creating the new instances, migrating apps to those new instances, and making sure there's not some hidden regression (even though it's "drop in") all takes time.
At a minimum, 1 or 2 hours per app optimistically.
My company has hundreds of apps (hurray microservices). That's where "hundreds of hours" seems pretty reasonable to me.
We don't have a lot of redis use in the company, but if we did it'd have taken a bit of time to switch over.
Edit: Dead before I could respond but I figured it was worthwhile to respond.
> It's literally just redis with a different name, what is there to test?
I've seen this happen quite a bit in opensource where a "x just named y" also happens to include tiny changes that actually conflict with the way we use it. For example, maybe some api doesn't guarantee order but our app (in a silly manor) relied on the order anyways. A bug on us, for sure, but not something that would surface until an update of redis or this switch over.
It can also be the case that we were relying on an older version of redis, the switchover to valkey necessitates that we now bring in the new changes to redis that we may not have tested.
These things certainly are unlikely (which is why 1 or 2 hours as an estimate, it'd take more if these are more common problems). Yet, they do and have happened to me with other dependency updates.
At a minimum, simply making sure someone didn't fat finger the new valkey addresses or mess up the terraform for the deployment will take time to test and verify.
rlpb|10 months ago
Sounds like a huge disadvantage in your company’s choice of software architecture to me.
JamesSwift|10 months ago
sieabahlpark|10 months ago
[deleted]
txcwg002|10 months ago
xandrius|10 months ago
patates|10 months ago
brookst|10 months ago
And who knows if someone adopted post-fork features?
If this is a production system that supports the core business, hundreds of hours seems pretty reasonable. For a small operation that can afford to YOLO it, sure, it should be pretty easy.
benwilber0|10 months ago
I wasn't aware the license had any negative affect on private internal use.
unknown|10 months ago
[deleted]
md3911027514|10 months ago
mperham|10 months ago
Now consider a no-down-time migration. How long do you think that'll take to engineer and execute?
dbacar|10 months ago