mapme

8 ms·

1.
by mapme 5mo ago
Who is more impactful, the startup engineer who singlehandedly ships a feature that increases a startup revenue by 25% off a base $5M/yr ($1M extra rev), or a Meta/Google team of 5 engineers who ship a .01% revenue improve off a b
2.
by mapme 7mo ago
What field has interviews without silliness like this. Jobs for lawyers in 1950 when all that mattered was your father and your alma mater? Hard pass. I would take a interview premised on a know, learnable challenge (even if silly) over one
3.
by mapme 1y ago
The native tool use is a game changer. When I ask it to debug something it can independently add debug logging to a method, run the tests, collect the output, and code based off that until the tests are fixed.
4.
by mapme 3y ago
Living off 20k a year in a Hcol, where these salaries primarily occur, is next to impossible. Rent alone anywhere in SF area, for example San Jose, is 2k at a bare minimum for a 1BR, or 3k for a 2BR split between a roommate at 1.5k each. Th
5.
by mapme 4y ago
Is there a OSS license that specifically precludes its use in LLMs or effectively does so?
6.
by mapme 4y ago
Twitters data cannot fit on one machine. In 2015 their Hadoop cluster was 30 PB per earlier comments/their blog. How do you fit that on one machine?
7.
by mapme 4y ago
They did not spend half their revenue on compute. It’s more like 20-25% for running data enters/staff for DCs. Check their earnings report. Whats app is not an applicable comparison because messages and videos are stored on the client
8.
by mapme 4y ago
Excluding a settlement from 2014 that was paid this year, Twitter would have made 500mil on 5B revenue in 2021. They were also GAAP profitable in 2019. Additionally, the incentive from wall street is to spend all your money to grow users. W
9.
by mapme 4y ago
SRE is a mix of both. The expectation is you are able to write and understand any code the team is responsible for.
10.
by mapme 4y ago
Yes that is the normal case. The post was refuting the assertion that one engineer can run these services indefinitely as previously the OP had the help of SWEs oncall and also fixing bugs.
11.
by mapme 4y ago
Source?
12.
by mapme 4y ago
One SRE, many SWE. Also have fun asking someone to be permanently oncall with one person on the team. The cache clusters size are also described here for anyone who wants a good technical read over speculation. https://www.usenix
13.
by mapme 4y ago
But Tesla and Spacex have notoriously low pay compared to their peers. Eg a Tesla swe makes 40% less than at Google
14.
by mapme 4y ago
Holy moly you should relax buster, I was joking!
15.
by mapme 4y ago
Nothing, because they don’t understand RecSys which is half of ML at social media companies. Probably could help with prediction for ads but the domains are very different.
16.
by mapme 4y ago
Printing code on paper definitely happened. Confirmed by multiple folks. The layoff 75% numbers and layoffs before Nov 1 were false though. https://twitter.com/leahculver/status/1586145696163373056?s=...
17.
by mapme 4y ago
This is false.
18.
by mapme 4y ago
Employee salaries is only 1.5B of their 4.5B annual costs. Edit: per Wapo but you can see the cost structure from 10ks mostly
19.
by mapme 4y ago
IME for engineering at these companies is that the social or political side of things is mostly irrelevant for Eng. Some folks want to be involved in internal activism but it’s easy to ignore and basically never comes up in Eng work. Ppl ju
20.
by mapme 4y ago
This is assuming that political power comes from influencing all Americans rather than a small fraction who hold true power (politicians, donors, journalists, industry groups, etc.). If the small fraction is all on Twitter then viola the rh
21.
by mapme 4y ago
Does graal native perform better than a non-native running with JIT compilation?
22.
by mapme 4y ago
I think this is an unhelpful comparison. Simply put, when users exchange messages on WhatsApp it causes minimal traffic to a WhatsApp data enter as it’s mostly p2p. No ads, no persistence. Snapchat requires semi persistence for stories (vie
23.
by mapme 4y ago
That is very helpful, thank you! Good point on load balancing, and also retries, back pressure, etc. would change it as well.
24.
by mapme 4y ago
what are the most common types of queues for large data center applications (eg. Stateless app that handles rpcs, running on N machines). Are they mostly M/M/N? For example, is memcached different than nginx, or Postgres?
25.
by mapme 4y ago
Interesting, anecdotally at a faang adjacent company, I do not know of any Seniors who do not have code as their primary output. Even a large majority of staff actively code IME.
26.
by mapme 4y ago
Yeah, most of that is backend issues. Part of them dictated by product requirements eg. We require serving 5 year old, <4MB photos with 99th percentile latency of 1 second. Product and UI has its own complexities, but it seems clear each
27.
by mapme 4y ago
The front end apps are not all the same. If you built an app that handles 3 users well do you think it would easily handle 3 billion with no tweaks at any layer (app, framework, OS, network, hardware, edge traffic routing, internal dc netwo
28.
by mapme 4y ago
Hmm, I was trying to do the same with KS test on performance data but it seemed extremely sensitive to outliers even when an eyeball test of the two distributions look near exact. Have you ran into any of those issues?
29.
by mapme 4y ago
Reminds me a bit of this AWS builders post about doing constant work as variance can lead to instability. https://aws.amazon.com/builders-library/reliability-and-cons...
30.
by mapme 4y ago
Yeah, there’s also a lag sometimes ie. They write the paper 1-2 years after building the system. They’ve published some really interesting papers over time. If you filter by year you can see them all! https://research.facebook.co

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