slt2021

50 ms·

901.
by slt2021 3y ago
who is going to pay for that?
902.
by slt2021 3y ago
Industrial IoT: hold my beer
903.
by slt2021 3y ago
I didnt get what this does, is it just running a containerized workloads on a cluster? like a docker swarm? what makes it better than docker swarm or kubernetes or nomad or any other container orchestration tool ?
904.
by slt2021 3y ago
technically they dont unionize, but they have cartel that regulates supply of specialists to the market (State Bar for lawyers and State Medical Board for doctors). the reason why healthcare is such a mess and so expensive - is because Medi
905.
by slt2021 3y ago
This is not about W-2 remote workers, these are about offshore/onshore consultancies that hire supposedly Russian/Chinese freelancers to work, and instead these were North Koreans who then used remote access to corporate for data
906.
by slt2021 3y ago
When stakes are high you are not going to ask a robot. When you have serious health condition or legal problem - you will find youself the best doctor/lawyer and seek their counsel. Google search or chatgpt wont gonna cut it. Same with
907.
by slt2021 3y ago
In the grand scheme of things American taxpayer doesnt care all that much, because there are so many leeches who profit off of government spending like military, healthcare, automotive, etc. in teslas case at least there is clear ecological
908.
by slt2021 3y ago
you are looking at the wrong stuff, box office revenues go to Motion Picture companies and Hollywood fat cats like harvey weinstein. just look at labor data: it is not pretty. $28/hr mean pay in Hollywood! Much less in other areas. The
909.
by slt2021 3y ago
it shows that you have zero experience in automation, because no high value job is fully automatable. Human augmented+automation will always be more superior/flexible/valuable and large corporations with a lot of capital will neve
910.
by slt2021 3y ago
A lot of automakers in the USA get subsidies, GM even got bailed out in 2008. Tesla on the other hand creates a lot of jobs, invests in US factories, invests into R&D, pays a lot of taxes, and most importantly - delivers on the vision o
911.
by slt2021 3y ago
I am not at the mercy of my employer or capitalist class for that matter. And I will be the first one to automate my job and reap the benefits of automation myself. This is the way of life - if you cannot adapt - those more flexible, more a
912.
by slt2021 3y ago
You skipped the downsides of hollywood unionization: Cost of hiring increases and there are fewer gigs around. Unionisation adds nontrivial transaction costs, so there will be fewer opportunities for new entrants, and fierce competition amo
913.
by slt2021 3y ago
I was with you until you mentioned unions. tech is fundamentally incompatible with unions for several reasons: 1. it will drive down the wages and give power to just another bureacracy 2. Union participation does not differentiate bet
914.
by slt2021 3y ago
reading/writing Arrow is zero serde overhead operation to/from memory to disk. I think of lambda as a thread, and you can put a trigger on S3 bucket on each incoming file - to get processed. This allows you to get around GIL, and
915.
by slt2021 3y ago
>>Only if you 1) don't know SQL and 2) working with tiny datasets that are around 5% of your total RAM. this is only true only for newbie python devs that learned about pandas from blogs on medium.com. I have pipelines that proce
916.
by slt2021 3y ago
with pandas2.0 and using arrow backend instead of numpy - pandas became "cloud datalake native" - you can essentially read from arrow files in S3 very efficiently and at any large scale - and store/process arbitrarily large a
917.
by slt2021 3y ago
interesting, but I would still prefer pandas for data cleansing/manipulation, just because I won't be limited by SQL syntax - and can always use df.apply() and/or any python package for custom processing. pandas using apache
918.
by slt2021 3y ago
pandas is way more powerful that most people use it. when you have to deal with thousands of text files, mish mash of csv, tsv, some rows overlap between the files, some files spread across multiple different locations (shared drive, s3 buc
919.
by slt2021 3y ago
this is what happens when Microsoft's detections team is under pressure to constantly deliver new detections: they will just ship whatever without careful evaluation of FP/TP and broader impact
920.
by slt2021 3y ago
it is impossible to find common ground with common people, when your community of your people is online and you grew up in online communities
921.
by slt2021 3y ago
some projects racially discriminate developers to avoid possible bias, politics, and racism? lolz
922.
by slt2021 3y ago
my understanding is that you should not roll your own expensive complex huge system, just use AWS S3 which provides eleven nines of availability at $22/tb/mo. It is really hard to beat the cost/benefit ratio of S3. a lot of m
923.
by slt2021 3y ago
get-object and put-object is really all you need. everything else is nice to have
924.
by slt2021 3y ago
and why would you ever take raw data out of AWS ? if it is for migration: it is one time cost that anyone can swallow easily if they decided to leave AWS for something else. If your data is worth < $94/tb - it is really not worth pu
925.
by slt2021 3y ago
I used s3 just as an example of a service with very good track record of availability for a very low cost - and perfectly reliable available service can be created with bash scripts, aws-cli and free-tier AWS account. perfectly fine with us
926.
by slt2021 3y ago
from your reply it seems like you have not worked with high throughput workloads that FAANG deals with daily. your suggestion of single node rdbms as a replacement to kafka suggest you dont have experience with workloads that cannot be serv
927.
by slt2021 3y ago
S3 API has become lingua franca and is supported by open source (minio), storage vendors (QNAP), as well as plugins that translate S3 API calls to APIs for competing cloud providers (s3proxy). all this is done because S3 provides unmatched
928.
by slt2021 3y ago
kafka is not for latency, it is used for high throughput. By design kafka shines in high throughput workload due to consumer and producer concurrency (consumer group), broker concurrency (multiple nodes and partitions). for latency sensitiv
929.
by slt2021 3y ago
you don't need "systems" for 10-20 messages a day. it all could be replaced with S3 buckets and aws-cli with even better durability and delivery latency and error handling than anything you would be able to engineer yourself
930.
by slt2021 3y ago
and why people invested noname colleges with degrees in psychology, english lit, gender studies? and then act surprised when they get out with zero useful skills

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