Earlier quoted context omitted.
They're making $200 million / month based on their S-1 filing. I'm sure they've done the math and the effort to cost savings here simply isn't worth it to them.
Or, more likely, in the beginning AWS is what their developers knew and were familiar with, and then as time went on it was easy and convenient to just spin up "one more instance". Fast forward to today, and now it would be a serious undertaking with serious risks to move off AWS, not to mention the costs of building up the staff and assets to reimplement their requirements in parallel of AWS until reasonably confide…
Lyft Files S-1
351–360 of 405 posts
Re: Lyft Files S-1
#352Earlier quoted context omitted.
Those are all wealth transfers, though, not really value creation. The only value creation by the baseball players is the entertainment provided (which is definitely not nothing).
How about getting a massage? “Wealth transfer”? Or “value creation”?
Re: Lyft Files S-1
#353Re: Lyft Files S-1
#354Earlier quoted context omitted.
Outside of S3 I can't think of any services that AWS offers that are worth a damn.
Route53, RDS, DynamoDB, SNS. To name a few.
RDS doesn't really scale without costing a fortune. It buys you HA and backups. Great, but what if you need performance?
DynamoDB? It scales in terms of IOPS, but again, it's unaffordable.
SNS exists and isn't terrible, but why wouldn't I just run Kafka?
Re: Lyft Files S-1
#355Earlier quoted context omitted.
100M/year is ~8M/month. Some perspective on that, it could by you one of: ~400PB of data in S3. ~2600 bare metal "x1 type" ec2 instances running 24/7, 3 year upfront reservation. ~60M Write IOPS in dynamodb ~300M Read IOPS in dynamodb ~3500 16xl RDS aurora instances Again, each of those is spending the entire budget on a single service, but that seems like a nonsense level of spending. Maybe they really have that muc…
Everything seems reasonable except... ~3500 16xl RDS aurora instances? I worked at one of the 100 biggest websites on the internet (a search engine), and we only had 3. Why/how would Lyft need 1000x that!?
It highlighted pretty well, evidenced by your comment, that RDS was not likely a significant portion of their spend.
Re: Lyft Files S-1
#356Earlier quoted context omitted.
100M/year is ~8M/month. Some perspective on that, it could by you one of: ~400PB of data in S3. ~2600 bare metal "x1 type" ec2 instances running 24/7, 3 year upfront reservation. ~60M Write IOPS in dynamodb ~300M Read IOPS in dynamodb ~3500 16xl RDS aurora instances Again, each of those is spending the entire budget on a single service, but that seems like a nonsense level of spending. Maybe they really have that muc…
You are also calculating based on list price, with Enterprise discount, certain services can be quite a lot cheaper with spend that high.
Just trying to get a rough ballpark for infra at that level of spend.
Re: Lyft Files S-1
#357Re: Lyft Files S-1
#358Earlier quoted context omitted.
Everything seems reasonable except... ~3500 16xl RDS aurora instances? I worked at one of the 100 biggest websites on the internet (a search engine), and we only had 3. Why/how would Lyft need 1000x that!?
What'd you use those 3 for?
Category three was relational, IIRC like ~2TB. We originally stored it all on a custom MySQL cluster, and we started running into pretty bad replication lag. Amazon came around with Arora and promised we'd never have any replication lag. We switched over. Still had replication lag.
Re: Lyft Files S-1
#359Earlier quoted context omitted.
> If those issues aren't in your company's core competencies, it's not necessarily efficient to invest in building out all of that. Maybe that's just the story cloud providers tell you. Until you try, do you really know if it's all that complicated? People have been running datacenters for a long time, and not all of them work for Amazon. But there may be also a beneficial side effect of having gearheads around, and…
Yes, I've worked with a few of those datacenters. A few examples: - Recently had to purchase new servers, because of signed contracts the only servers we were allowed to purchase and put in the datacenter were four years old and technically EOF. - Firewall changes, AD changes, provisioning a VM, etc. are 48 hour turnaround. Purchasing new hardware requires 4-6 weeks. - Had an intermittent issue with their edge firewa…
Re: Lyft Files S-1
#360Earlier quoted context omitted.
I'm actually curious how AWS is able to scale support so well with what seems reasonable quality. I had an issue (my fault in end), got excellent support - and they didn't tell us to take a hike at end when it turned out not AWS fault. Conversely, with GCP 4 years ago now had some support issues - didn't come away impressed - I'm convinced even internally GCP isn't well doc'd or something.
I think it comes down to Amazon vs. Google's company cultures around customer support, which informs attention and resource budgeting. GCP isn't the only Google product where people hate its customer support, and AWS isn't the only Amazon product where people love its customer support.