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
In this blog post we’ll show you how we migrated a critical Postgres database with 18Tb of data from Amazon RDS (Relational Database Service) to Amazon Aurora, with minimal downtime. To do so, we’ll discuss our experience at Codacy.
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In 5 years, the number of endpoints consumed by Lyft’s mobile apps grew to over 500, and the size of our mobile engineering team increased by more than 15x. To scale with this growth, our infrastructure had to evolve dramatically to utilize new advances in modern networking in order to continue to provide benefits for our users. This post describes the journey through the evolution of Lyft’s mobile networking: how it’s changed, what we’ve learned, and why it’s important for us as a growing business.
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In 2026 is there demand for 7X more manufactured storage annually and is there sufficient value for this storage to spend $122B more annually (2.4X) for this storage? Unlike HDD, tape magnetic physics is not the limiting issues since tape bit cells are 60X larger than HDD bit cells … The projected tape areal density in 2025 (90 Gbit/in2) is 13x smaller than today’s HDD areal density and has already been demonstrated in laboratory environments.
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