EarthScope presents at AWS re:Invent conference
EarthScope Cloud Architect Alex Hamilton attended the annual Amazon Web Services conference to present on the cloud data systems delivering geodetic data to the ShakeAlert Earthquake Early Warning System.
Meet TileDB—one key to cloud optimizing our data archives
We want scientific inquiries to face as few speedbumps as possible, enabling you to do more with less time invested. Let’s talk a little about the way we’re structuring data storage to help make that happen.
Cloud case study: Using DAS to listen to glacial meltwater streams
A recent paper used DAS on Rhône Glacier in the Swiss Alps to infer the discharge of meltwater streams. We talked with one of the authors about how they wrangled this large dataset.
Pancakes are the future of geophysical data processing
What can’t be explained by a delicious food metaphor? Maybe geophysical research in the cloud, but we’re going to try anyway.
A successful run for the first short course in the GeoLab notebook hub
The July 8-12 Massive Parallel Analysis System for Seismologists (MsPASS) short course was the first to run in our GeoLab JupyterHub environment, showcasing one of the benefits of the new cloud-based platform we are building.
Cloud case study: a seismic processing tutorial for your first foray
A recent paper helpfully documents a basic cloud computing project, including a practical introduction to the key concepts you need to know. Check out our interview with one of the authors!
SSA meeting recap: Harnessing the power of cloud computing
Events like this help us take the pulse of our community—highlighting for us how the growth of cloud computing is progressing and why, for example. Here’s a short summary of what we heard.
With computational notebooks, code can tell a story
If you aren’t yet familiar with notebooks, here’s a primer on what they are—and why many in science find them useful.
Cloud computing, data access, software questions… ask the Data Help Desk!
The Data Help Desk is a robust support platform that we hope will provide a streamlined access point for all the different questions about data collection, discovery, access, and delivery.
Cloud data operations: an update on our progress
As the new cloud architecture for our data systems is taking shape, it’s time to start sharing information about the new capabilities that will become available.