Name: 伝説のラムダス by Tejas Kumar｜JSConf Budapest 2019 (Legendary Lambdas by Tejas Kumar | JSConf Budapest 2019)
Uploaded: 2021-01-14T10:23:02.000Z
Duration: 27 min 51 s
Description: VoiceTubeの動画で発音を聞きながら英語表現を覚えよう！学べる英語：

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The sound of the collapse sounds very good.

Judging by the sound of the collapse, it sounds very good.

Um, and I have to say, I love this conference.

S S Khan and James Caan yesterday Learned a ton.

For the organizer's of Js Conti Budapest.

Contagion is kind of like a way to remember it, because it's a It's a bit of a different Indian name, but really?

At this point, you can just call me that joke guy from yesterday.

It's like and so Yes, Yes, I'm hilarious.

Uh, I work in Germany at a company called County Ammo.

Just means we help people understand their data and do all kinds of cool data science.

The things, um but really, for me, what I love the most about my work is thes people.

And they're some of the brightest, funniest, smartest.

And, you know, I get to come here and tell you about how wonderful they are, but that, unfortunately, is not what this talk is.

About three set instead that talks about server lis service.

Um, we're gonna talk about, so I'm gonna look at some adoption.

I think it is absolutely revolutionary, and I mean that the stock is called legendary.

Ah, but before we get into that, let's kind of look at some facts and figures.

Um, and according to the new stack, some time ago, about 78% of participants in the survey wanted to adopt server lis into their ecosystem into their internal service architecture.

Which means by now they may have already another.

Interesting to cystic is 75% of the problem space has been penetrated by service in the last 18 months or so, and that is really, really, really exciting.

It very quickly overtook, um, the prior art.

If you will containers as a service and it's it's growing very fast.

But there are real world use cases where Sir Valises doing amazing things and one such use cases by one of the biggest brands in the whole world.

Coca Cola reduced their operating costs by about 65% on service, and how they did that is they had these these vending machines that were like 10 to 12 years old and they would have to send some some telemetry.

They have a sense of information about like, Are they enough drinks and stuff to Coke?

Now these up until 2016 around on Amazon's Easy to on cost about $12,864 a year.

Okay, um, after moving to serve Earless, Coca Cola pays 4490 roughly at the time of the case study.

And if they could serve 30 million requests at one time at the time of publishing of this study, very, very, very interesting.

Second, if you've ever played or heard of final fantasy score, Enix is the company behind some of the world's greatest.

MMORPG is massively multiplayer online role playing games, and they could have millions of players on at the same time.

And what players like to do at massive scale is take screenshots, so they have an image processing function that would process thes screenshots.

Now, um, processing these screenshots, especially under heavy load, would use that used to take several hours after moving to serverless thes.

Take a little over 10 seconds and more than that.

Bacon comfortably do this with traffic spikes of over two times.

So if there's a gaming tournament and there's like millions of people online, this dysfunction to process the images eats it for breakfast.

Um, lastly, if you've ever heard of a used a WiFi router in your entire life, there's a good chance it with a Thompson one.

And Thompson router is one of the world's biggest brands for routers is able to process 4000 events per second on server Lys.

Um, what's really impressive about this is even, you know, under very heavy conditions there's no or minimal, probably no data loss.

Um, but for me, and this is what I want to focus on today, is they scheduled five months to get this into production, according to the report.

And, you know, if you're at the scale of Thompson, five months is a really short time.

I've heard people say that in larger companies things just take longer.

This more meetings, more planning whatsoever.

Thompson actually ended up moving this thing to serve a list two months ahead of schedule.

Two months ahead of server Lis is is you're able to get up and running really, really fast.

And so I tell you all these things to tell you it's here and it's big and people are talking about it.

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伝説のラムダス by Tejas Kumar｜JSConf Budapest 2019 (Legendary Lambdas by Tejas Kumar | JSConf Budapest 2019)

stuff

contagious

scale

impact