Our backend infrastructure at Tinder relies on Redis-based caching to fulfill the requests generated by more than 2 billion uses of the Swipe® feature per day and hosts more than 30 billion matches to 190 countries globally. Most of our data operations are reads, which motivates the general data flow architecture of our backend microservices.
Source: medium.com
This year provedonce againthat IT-related failures “are universally unprejudiced: they happen in every country; to large companies and small; in commercial, nonprofit, and governmental organizations; and without regard to status or reputation.” Below is a review that just scratches the surface of the sundry failures, glitches, and other IT hiccups that made the news in 2018. This year saw a slight reduction in the number of flight cancellations and delays due to computer-related problems as compared with the past three years, especially in the United States.
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What’s the best way to safely increase parallelism in a production Node service? That’s a question my team needed to answer a couple of months ago. We were running 4,000 Node containers (or ‘workers’) for our bank integration service.
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