Open source software can provide significant benefits to an organization—it can decrease product development time, distribute development across a community, and attract developers to your organization. It’s because of these benefits that we at Dropbox love open source. However, some organizations shy away from it due to perceived risks and fears around lost intellectual property (IP) rights. You’re not alone if you’re worried that once you’ve incorporated open source into your products or open sourced your own code that you’ve surrendered control over your most valuable assets, or worse, left your organization vulnerable to litigation with no defensive weapons to counter the threat.
Security incidents happen. And when they do, they need to be dealt with—quickly. That’s where detection comes into play. The faster incidents are detected, the faster they can be handed off to the security team and resolved. To make detection as fast as possible, teams are usually aided by monitoring infrastructure that fires off an alert any time something even slightly questionable occurs. These alerts can lead to a deluge of information, making it difficult for engineers to sift through. Even worse, a large number of these alerts are false positives, caused by engineers arbitrarily running
We are pleased to announce the open source release of Lepton, our new streaming image compression format, under the Apache license.
Lepton achieves a 22% savings reduction for existing JPEG images, by predicting coefficients in JPEG blocks and feeding those predictions as context into an arithmetic coder. Lepton preserves the original file bit-for-bit perfectly. It compresses JPEG files at a rate of 5 megabytes per second and decodes them back to the original bits at 15 megabytes per second, securely, deterministically, and in under 24 megabytes of memory.
We have used Lepton to encode 16 billion images saved to Dropbox,
Written by Daniel Reiter Horn and Mehant Baid, Serving Infrastructure team at Dropbox.
In HBO’s Silicon Valley, lossless video compression plays a pivotal role for Pied Piper as they struggle to stream HD content at high speed.
John P. Johnson/HBO
Inspired by Pied Piper, we created our own version of their algorithm Pied Piper at Hack Week. In fact, we’ve extended that work and have a bit-exact, lossless media compression algorithm that achieves extremely good results on a wide array of images. (Stay tuned for more on that!)
At Dropbox, we made the switch from testing with unittest to pytest. We love the features, fixtures, plugins, and customizability of pytest. To further improve our experience, we built a couple of tools (pytest-flakefinder, unittest2pytest) for working with pytest and released them as open source.
We developed the pytest-flakefinder plugin to help with a common problem, flaky tests. Tests that involve multiple threads, or that depend on certain ordering can often fail at a fairly low rate. A few flaky tests aren’t a big deal,
This year’s Dropbox Hack Week saw some incredible projects take shape – from the talented team that visited Baltimore to research food deserts, to a project to recreate the fictional Pied Piper algorithm from HBO’s Silicon Valley. One of the most special elements of Hack Week, though, is that often times we’re able to share these exciting projects openly with our users and our community.
At Dropbox, we love and depend on numerous excellent open source projects, and we consider contributing back to the open source community to be vitally important. Popular open source projects that Dropbox has released include the zxcvbn password strength estimator,