Category: Cost Control

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Moving away from multi-regional storage buckets

Adam Mullen, Software Product Manager in the Data Sciences Platform, explains a change to the default storage bucket setting for new Terra workspaces that will address the upcoming Google Cloud pricing changes to a number of services, including multi-regional storage buckets.

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Tracking your workflow compute costs in Terra

This blog covers some key concepts and practical solutions for tackling the question of compute costs incurred by running workflows, which are typically the hardest to predict among the various types of cloud costs. 

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Funding opportunities to cover cloud costs

If you’re a PI switching from using institutional computing resources that are normally paid out of grant overhead, and until your institution lets you reallocate that money to cover cloud costs, you’re going to need to find new funding. The good news is that there are some funding sources out there dedicated to bridging that gap […]

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Get started with free cloud credits 

Although Terra itself is free and open to all, you do have to pay for any actual work that you request from the underlying cloud service provider, which is currently Google Cloud Platform (GCP) (we’re working with Microsoft to add support for Azure). The good news is that you can get free credits to try out GCP and Terra, and see if this all works for you, without paying anything out of pocket.

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Introducing task-level checkpointing in workflows

If your day-to-day involves workflows with long-running tasks, I have good news for you: we just released a new checkpointing feature that makes it possible to save intermediate outputs for a task and resume work from that point if the task gets interrupted. For context, the Cromwell workflow engine we use in Terra already had a smart resume capability at the level of the workflow, called “call caching”.

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