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
Switch provisioning at Dropbox is handled by a Pirlo component called the TOR Starter. The TOR Starter is responsible for validating and configuring switches in our datacenter server racks, PoP server racks, and at the different layers of our datacenter fabric that connect racks in the same facility together. Writing the TOR Starter on top of the ClusterOps queue provides us with a basic manager-worker queuing service.
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I started to compile a list of public failure/horror stories related to Kubernetes. It should make it easier for people tasked with operations to find outage reports to learn from. Since we started with Kubernetes at Zalando in 2016, we collected many internal postmortems.
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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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