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But even if algorithms aren’t the answer, there’s no doubt that online dating has led to successful relationships — my own included.

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If you look at servers needed to run Vinted app and everything it has you see this:34 for image processing and storage (930 million photos)30 for Unicorn and microservices (200 million requests / day)28 for My SQL databases, including replicas19 for the Sphinx search (25 million listed items to index)10 for resque background jobs10 for load balancing with Nginx (acts as proxy and some caching, could be less, but need them in different countries we operate in).4 for Redis So thats 135 servers which are running app infrastructure.

Now keep in mind, everything needs to be high-available.

Attentive and efficient staff serves delightful dishes of fish and shellfish direct from the market, and oysters from the shores of Oléron Island. It has seen many milestones in our life (a 33rd birthday, a 50th birthday, our engagement, our 10th anniversary).

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Bilevicius' defence lawyer Inger Rönnbäck told TT around midday that she had not been able to read the whole ruling, but said she had spoken briefly to her client on the phone. He is still of the firm opinion that he is innocent," she said.

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It said forensic evidence including traces of Bilevicius' DNA strongly indicated that he was guilty.

It also noted that he lacked an alibi for the time of the murder.

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Started in 2008 as a small community for Lithuanian girls, it developed into a worldwide project that serves over 7 million users in 8 different countries, and is growing non-stop, handling over 200 M requests per day.

That means minimum 2x of everything, even if you don't need/use it at the moment. What I cannot really understand - how is 200 M of requests/day transform to real Internet traffic?

Stack Exchange has 150 M of requests and is on 53 position in Alexa rating, is on 38763 position but has higher RPS. Some technologies were used because of experience with them, others were "trials and errors" (especially the big data stuff). I believe that after a year we can write a different article on how we do [email protected]: Rabbit MQ is great and we're using it, but when it comes to analytic events - we met some limitations and chose kafka for event emission. As the documentation says - "Rabbit MQ clustering does not tolerate network partitions well" and this is not as rare as we’d like it to [email protected]: We use slightly modified version of https://github.com/grosser/[email protected]: not sure that "transform " means but we deliver more than 10 Gigs traffic to girls.