I hope that you're correct however.
440 karma · joined November 16, 2018
I hope that you're correct however.
I thought I could count on the charismatic leader to save my bacon by only calling on them for help when when things are visibly on fire and my own minor charisma hasn't been enough. In the end the leader didn't show up and now I've got a HR complaint against me for following up consistently when the fire didn't get put out. The whole thing has been fairly stressful because I'm struggling to understand the particular social dynamics, my best guess is it's just power protecting power, but I am naive/delusional enough to want to believe there is more to it. Now I'm taking a month off from work to try and unwind a bit.
All of that was just a long way of saying that you never know when you'll need to call on your stress/conflict managing skills, so best to keep them sharp at all times. I thought my skills were already good, but that was quickly revealed as false when challenged by tougher opponents :).
Even if the data is valuable, as far as I know there are no backdoors available to tiktok that aren't available to other apps (e.g any tencent game). The security model at the os level seems to be the proper place to ensure privacy, and the witch hunt against tik tok seems to only exist because it is popular.
- Prioritizing is hard, so avoid wasting brain cycles deciding how important your bugs are
- It encourages all of your team to get things right the first time, because if they don't they know they will be going back to fix it immediately.
- If you want to create a culture of quality then it's an obvious first step.
- It saves time in the long term by addressing problems when you have the most context and by avoiding building hack upon hack upon hack
In extreme cases you can relax the policy, but be aware that if you don't quickly correct course then things will be permanently worse. Also accept that hard external deadlines are not suited to this approach, but using triage some of that can be mitigated.
We also had a few issues where aurora was giving us *incorrect query results* and aws support were not helpful. Most of the issues were denied, even with simple reproductions, and then got fixed years later (~2-3) after we had given up. We still use it today but stay away from cutting edge features, unusual query patterns, and high volume use cases.
Having said all that, SQL still seems like the correct choice for getting an MVP out quickly.
All of the tech youtubers have been making similar points lately (LTT, GamersNexus, HardwareUnboxed).
Data centre does seem to be in AMD's favour at the moment, but I don't know enough about the space to know if their advantages will be long lived.
I don't know much about your application but the fact that you can mitigate the problem by scaling the number of workers suggests that the order requirements might actually be fairly weak. As a worst case outcome you may be able to push all events interdependent to the one with an error to a DLQ using a temporary blacklisting mechanism, but by that stage I think I would just prefer better testing.
My intuition is that in your given example (stock prices) smoothing would probably be doing yourself a disservice as it would hide the optimal hour or day of the week to make purchases/sales.
Is it mostly related to the timeframe of your analysis and needing to trade off near term precision for longer term precision?
This is not the exact link I was looking for but goes into it somewhat https://www.ycombinator.com/library/3Z-advice-for-companies-...
We are an adtech startup in the hundreds of millions per day right now, expecting billions per day by the end of the year. Management would be happy if I said I have a plan for tens of billions.
The main difference is that we would probably lean towards the cloud version instead of self hosted (do we still need to think about clusters then??)
We currently make heavy use of dynamo and are interested in something cheaper/faster. The marketing material is pretty compelling but I'm unsure of how hard scylla is to operate at scale.
We ran into some minor problems along the way, mostly around cost, and eventually had to switch to something else. We still don't know much about the space and the main thing that stood out about our new provider is that it is cheaper but the data seems to be of lower quality.
Going forward I think I'll prefer to be more technical for the self advancement.
> In general terms, it works by imposing a significant penalty upon any person or group that acquires 15 percent or more of the shares of Common Stock without the approval of the Board.
> the rights will become exercisable if an entity, person or group acquires beneficial ownership of 15% or more... in a transaction not approved by the Board
> each right will entitle its holder (other than the person... triggering the Rights Plan, whose rights will become void...) to purchase.... additional shares of common stock
The SEC filing is a bit dense but then if you scroll down to a bit you get
> entitle the holder thereof to purchase, for the Exercise Price, a number of shares of common stock of the person engaging in the transaction having a then-current market value of twice the Exercise Price.
[1] https://www.sec.gov/Archives/edgar/data/0001418091/000119312... [2] https://www.prnewswire.com/news-releases/twitter-adopts-limi...
At the moment I have flexibility in how many people I hire underneath me and would like the team to remain small enough where I can be both a force multiplier and part of the force. The goal is to be an elite small squad.
The other option is to hire a larger number of people, handle more of the project scope, and cease being an IC. However I'm new to being a formal manager and am guessing this would probably be bad for my sanity.
The fact that they are enacted only in certain scenarios to me is the indicator that they are hostile and discriminatory.
I detailed a case where a recent deploy I had done had resulted in elevated error rates for some of our clients and how I had solved it with a quick follow up push to prod. The interviewer asked why it wasn't caught in staging and I mentioned that it could have been but as a small company we have to make velocity vs bug tradeoffs and in general it feels like we are currently at a sweet spot. The interviewer was unwilling to explore that space at all, or the concept that different companies might want to land in different places.
Later I was given feedback that I did exceptionally well in the technical interviews but the company didn't want any cowboys on their team. All of that is probably just a long way of confirming the other anecdotes in this thread that from the outside fast seemed somewhere between delivery hostile and overly cautious.
Why do you assume it's a rut? It might be an organizational liability but it can be a great while it's working. It's common folklore that design by committee leads to poor outcomes, or at best average outcomes completed slowly.
Why assume that we need to build code by consensus or a series of interchangeable cogs?
You're still talking about minutes at most to dump your whole phone.
https://en.m.wikipedia.org/wiki/File:Political_Compass_stand...