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  • July 19th, 2016 Announcements Open Source Monitoring Go Prometheus has come of age – a reflection on the development of an open-source project By Björn "Beorn" Rabenstein

    On Monday this week, the Prometheus authors have released version 1.0.0 of the central component of the Prometheus monitoring and alerting system, the Prometheus server. (Other components will follow suit over the next months.) This is a major milestone for the project. Read more about it on the Prometheus blog, and check out the announcement of the CNCF, which has recently accepted Prometheus as a hosted project.


  • July 5th, 2016 Announcements Recommendation System Machine Learning Building radio stations at SoundCloud By Nicola Bortignon

    Over the last 100 years we have dialed into radio stations at home, on the road, or in the office to access a curated mix of top hits delivered to us by our favorite DJ. With more and more of our daily activities taking place online, we find our source of music now comes from a mix of our mobile phones, our desktop computers and the radio - and is available to us whenever we need it. The amount of music available today is endless. The music scene has never been so vibrant. A proliferation of production tools at low cost and the ease at which an artist can share their sounds, gives everyone the opportunity to share their work at any time, with only a few clicks.

    Keeping this in mind, we set out to determine: How can we bring a radio like experience to SoundCloud that would enable you to tune-in and lean back?


  • June 21st, 2016 Announcements Recommendation System Machine Learning Core Data Science Can a machine surprise you? We believe so. By Nicola Bortignon

    With more than 125 million tracks from over 12 million creators heard each month on our platform, SoundCloud is uniquely positioned to offer listeners a full spectrum of music discovery.

    Classic hits, the latest releases, gems from underground talent and the best of what’s up-and-coming – all in one place.

    How can you make great content discoverable and available at ease? How can you create a unique experience for every single user?


  • June 1st, 2016 Open Source Hadoop Big Data Crunch Data pipelines with Apache Crunch and Java 8 By David Whiting

    With Java 8 now in the mainstream, Scala and Clojure are no longer the only choices to develop readable, functional code for big data technology on the JVM. In this post we see how SoundCloud is leveraging Apache Crunch and the new Crunch Lambda module to do the high-volume data processing tasks which are essential at early stages in our batch data pipeline efficiently, robustly and simply in Java 8.


  • May 13th, 2016 Announcements API Playlist search returns only compact representations as of July 15, 2016 By Max Jakob

    We previously introduced new playlist representations. The compact representation returns only the playlist itself without any of the tracks. For most users, this is preferable – the compact representation significantly reduces the size of the JSON payload for large playlists and provides faster API response times.

    Beginning July 15, 2016, all queries using the q parameter will only return this compact representation for playlists. Other playlist representations will no longer be available when using the q parameter.

    To fetch the track listings for one of the returned playlists, you can make an additional request to the /playlists/{id} resource by using the corresponding playlist ID.

    If your application expects track listings from playlist search results, update your application by July 15, 2016.