Descartes Labs with Tim Kelton

Google Cloud Platform Podcast

Episode | Podcast

Date: Wed, 31 Aug 2016 01:07:49 +0000

<p><a href="http://www.descarteslabs.com/">Descartes Labs</a> is creating an incredible living atlas of the world from huge datasets leveraging the power of Google Cloud Platform and <a href="https://twitter.com/timbuktuu">Tim Kelton</a>, one of the co-founders of Descartes Labs, is here to your cohosts <a href="https://twitter.com/francesc">Francesc Campoy</a> and <a href="https://twitter.com/neurotic">Mark Mandel</a> all about it.</p> <h5 id="about-tim">About Tim</h5> <p>Tim is a co-founder of Descartes Labs focuses on building distributed systems using cloud architecture to better see how the earth changes every day. Prior to Descartes Labs, Tim was a Research and Development engineer for 15 years at Los Alamos National Laboratory working on problem areas such as deep learning, space systems, nuclear non-proliferation, and counterterrorism. In his free time, Tim enjoys mountain biking and skiing in the mountains above Descartes in Santa Fe New Mexico.</p> <h5 id="cool-things-of-the-week">Cool things of the week</h5> <ul> <li>Check the transcripts for every episode!</li> <li>All Google Cloud Platform episodes on <a href="https://www.youtube.com/playlist?list=PLIivdWyY5sqJOTOszXDZh3XustjvTsrmQ"> YouTube</a></li> <li>gRPC Project is now 1.0 and ready for production deployments <a href="http://www.grpc.io/blog/gablogpost">blog post</a></li> </ul> <h5 id="interview">Interview</h5> <ul> <li>Descartes Labs <a href="http://www.descarteslabs.com/">home page</a></li> <li>Advancing the science of corn forecasting <a href="https://medium.com/@DescartesLabs/advancing-the-science-of-corn-forecasting-350603e3c57f#.omj6hprd7"> Medium</a></li> <li>Maglev: A Fast and Reliable Software Network Load Balancer <a href="http://research.google.com/pubs/pub44824.html">Google Research</a></li> <li>Preemptible VMs <a href="https://cloud.google.com/preemptible-vms/">docs</a></li> <li>Managed Instance Groups <a href="https://cloud.google.com/compute/docs/instance-groups/">docs</a></li> <li>Celery: Distributed Task Queue <a href="http://www.celeryproject.org/">homepage</a></li> <li>“Tatooine†then and now from space: 40th anniversary of filming of Star Wars <a href="https://medium.com/@stevenpbrumby/tatooine-then-and-now-from-space-40th-anniversary-of-filming-of-star-wars-76522db67e20#.skukw6aa9"> Medium</a></li> </ul> <h5 id="some-maps">Some maps</h5> <p>Three maps of Humboldt, Iowa in July 2016.</p> <div style="text-align: center;"> <div class="picture"><a href="https://googlecloudpodcast.libsyn.com/images/post/descartes_map1.png"><img src="https://googlecloudpodcast.libsyn.com/images/post/descartes_map1.png" /></a></div> <div class="picture"><a href="https://googlecloudpodcast.libsyn.com/images/post/descartes_map2.png"><img src="https://googlecloudpodcast.libsyn.com/images/post/descartes_map2.png" /></a></div> <div class="picture"><a href="https://googlecloudpodcast.libsyn.com/images/post/descartes_map3.png"><img src="https://googlecloudpodcast.libsyn.com/images/post/descartes_map3.png" /></a></div> <div class="picture"> <p>Cloud free image in true color</p> </div> <div class="picture"> <p>We detect fields automatically, using machine learning. This is a map of all the fields in Humbolt.</p> </div> <div class="picture"> <p>Vegetative health (using NDVI)</p> </div> </div> <h5 id="question-of-the-week">Question of the week</h5> <p>What can you get for free on Google Cloud Platform?</p> <ul> <li>App Engine <a href="https://cloud.google.com/appengine/docs/quotas">pricing</a> <ul> <li>28 free instance-hours per day</li> </ul> </li> <li>Cloud Datastore <a href="https://cloud.google.com/datastore/#pricing">pricing</a> <ul> <li>1 GB of storage</li> <li>50k Entity Reads</li> <li>20k Entity Writes</li> <li>20k Entity Deletes</li> </ul> </li> <li>Vision API <a href="https://cloud.google.com/vision/pricing">pricing</a> <ul> <li>1k units/month (a unit correspond to a feature e.g. facial detection)</li> </ul> </li> <li>BigQuery <a href="https://cloud.google.com/bigquery/pricing">pricing</a> <ul> <li>Loading, Copying, and Exporting data is always free</li> <li>First TB of processed data in queries is free every month</li> </ul> </li> <li>PubSub <a href="https://cloud.google.com/pubsub/pricing">pricing</a> <ul> <li>First 250M Operations: $0.40/Million<br /></li> </ul> </li> </ul>