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This is a guest repost by Suresh Kondamudi from CleverTap. Dealing with large datasets is often daunting. With limited computing resources, particularly memory, it can be challenging to perform even basic tasks like counting distinct elements, membership check, filtering duplicate elements, finding minimum, maximum, top-n elements, or set operations like
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Uber faced a challenge. They store a lot of trip data. A trip is represented as a 20K blob of JSON. It doesn't sound like much, but at Uber's growth rate saving several KB per trip across hundreds of millions of trips per year would save
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From a talk by @aysylu22 at QCon London on modern computer science applied to distributed systems in practice. "CS research is timeless." Lessons learned are always pertinent. @aysylu22 #qconlondonMarch 8, 2016 There has been a renaissance in the appreciation of computer science papers as a relevant source of
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Steve Kerr, head coach of the record setting Golden State Warriors (my local Bay Area NBA basketball team), has this to say about what the team needs to do to get back on track (paraphrased): What we have to get back to is simple, simple, simple. That's good
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Hi, I'm Manu Mahajan and I'm a software engineer with Keen IO's Platform team. Over the past year I've focused on improving our query performance and scalability. I wanted to share some things we've learned from this experience in a
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The temptation to put a backdoor into a product is almost overwhelming. It’s just so dang convenient. You can go into any office, any lab, any customer site and get your work done. No hassles with getting passwords or clearances. You can just solve problems. You can log into
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Which cloud should you use? It may depend on what you need to do with it. What Zach Bjornson needs to do is process large amounts scientific data as fast as possible, which means reading data into memory as fast as possible. So, he made benchmark using Google's
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Chapter by chapter Sergey Ignatchenko is putting together a wonderful book on the Development and Deployment of Massively Multiplayer Games, though it has much broader applicability than games. Here's a recent chapter from his book. Enter Front-End Servers [Enter Juliet] Hamlet: Thou art as sweet as the sum
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Achieving very low latencies takes special engineering, but if you are a SaaS company latencies of a few hundred milliseconds are possible for complex business logic using standard technologies like load balancers, queues, JVMs, and rest APIs. Itai Frenkel, a software engineer at Forter, which provides a Fraud Prevention Decision
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I've been bitten by this one. It happens when you quite naturally use the file system as a quick and dirty database. A directory is a lot like a table and a file name looks a lot like a key. You can store many-to-one relationships via subdirectories. And
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Instagram has always been generous in sharing their accumulated wisdom. Just take a look at the Related Articles section of this post to see how generous. The tradition continues. Mike Krieger, Instagram co-founder, wrote a really good article on lessons learned from milestones achieved during Five Years of Building Instagram.
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This is a guest post by Donatas Abraitis, System Engineer at Vinted, with an unusual approach for saving a little bandwidth. Looking at https://tools.ietf.org/html/rfc1323 there is a nice title: 'TCP Extensions for High Performance'. It's worth to take a look at