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Upgrading Uber's MySQL Fleet

uber.com

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Re: Upgrading Uber's MySQL Fleet

#61

Post by 620gelato »

edf13 wrote: post #5

3 million queries/second across 16k nodes seems pretty heavy on redundancy?

2100 clusters, 16k nodes, and data is replicated across every node "within a cluster" with nodes placed in different data centers/regions.

That doesn't sound unreasonable, on average. But I suspect the distribution is likely pretty uneven.

Re: Upgrading Uber's MySQL Fleet

#62

Post by godshatter »

paradite wrote: post #24

I can tell from a mile away that this is written by ChatGPT / Claude, at least partially. "This distinction played a crucial role in our upgrade planning and execution strategy." "Navigating Challenges in the MySQL Upgrade Journey" "Finally, minimizing manual intervention during the upgrade process was crucial."

That sounds like regular old English to me. I could see myself saying all those things without thinking it's pushing any boundaries whatsoever. I'm starting to fear that LLMs are going to dumb down our language in the same way that people feared that calculators would remove our ability to calculate mentally.

Re: Upgrading Uber's MySQL Fleet

#63

Post by donatj »

Interestingly we just went through basically the same upgrade just a couple days ago for similar reasons. We run Amazon Aurora MySQL and Amazon is finally forcing us to upgrade to 8.0.

We ended up spinning up a secondary fleet and bin log replicating from our 5.7 master to the to-be 8.0 master until everything made the switch over.

I was frankly surprised it worked, but it did. It went really smoothly.

Re: Upgrading Uber's MySQL Fleet

#64

Post by tiffanyh »

m4r1k wrote: post #18

Uber's collaboration with Percona is pretty neat. The fact that they've scaled their operations without relying on Oracle's support is a testament to the expertise and vision of their SRE and SWE teams. Respect!

Aren't they using Persona in lieu of Oracle.

So it's kind of the same difference, no?

Re: Upgrading Uber's MySQL Fleet

#65

Post by sandGorgon »

so how does an architecture like "2100 clusters" work. so the write apis will go to a database that contains their data ?

how is this done - like a user would have history, payments, etc. are all of them colocated in one cluster ? (which means the sharding is based on userid) ?

is there then a database router service that routes the db query to the correct database ?

Re: Upgrading Uber's MySQL Fleet

#66

Post by Kennnan »

greenie_beans wrote: post #55
lenerdenator wrote: post #42

Earlier quoted context omitted.

Their focus is prioritized according to what returns maximum value to their shareholders.

beep boop i'm a capitalist robot pretty sure safe travels is critical to maximum value to their shareholders (aka stfu or tell me how this blog post has anything to do with maximize shareholder value https://www.uber.com/en-JO/blog/upgrading-ubers-mysql-fleet/... ... shareholder value is a dumb ass thing to prioritize over human life)

Honest question, how do you (or amyone) propose to vet drivers? They require drivers license and car insurance registration, anything like a CDL would make being a driver prohibitively expensive. Their rating system already works as a good signal the few times Ive used uber.

Re: Upgrading Uber's MySQL Fleet

#70

Post by antisthenes »

calmoo wrote: post #41
traceroute66 wrote: post #37

Earlier quoted context omitted.

> I can tell from a mile away that this is written by ChatGPT / Claude, at least partially. Whilst it may smell of ChatGPT/Claude, I think the answer is actually simpler. Look at the authors of the blog, search LinkedIn. They are all based in India, mostly Bangalore. It is therefore more likely to be Indian English. To be absolutely clear, for absolute avoidance of doubt: This is NOT intended a racist comment. Indian…

There's nothing that sticks out to me as obviously Indian English in this blog post. It's almost certainly entirely run through an LLM though.

If there are large amounts of Indian English in an LLM's training data, it stands to reason the LLM output will be very similar to Indian English, no?
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