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If you think about it, mobile apps are among the production services most in need of real observability: nearly countless hardware platforms and operating systems in combination with your app’s code result in a dizzying matrix of possible sources for any given issue, which means you need the power of true high-cardinality search to solve your problems.
Netflix recommends Stranger Things to you because it knows you like watching sci-fi thrillers. Tinder lets you swipe right into your next date because it’s learned your interests and partner preferences. Amazon keeps showing you Fitbit because you’ve spent a considerable amount of time browsing through the fitness and wellness category.
With the number of cyberattacks growing with each passing day, the need for increasingly sophisticated security systems has never been higher. Just when these ceaseless attacks had you at your wit’s end, machine learning may just restore some sanity to the cybersecurity scene.
Here at Skylight, we love all things open source. Many of us on the Skylight team are open source contributors ourselves. From our own experiences, we know that many people are excited about the idea of contributing to their favorite open source apps, but they don’t always necessarily know where to start.
