Maintenance

Redesigned Job Overview
The job overview page has been completely redesigned for better readability and structure. Information about your jobs is now organized more clearly, making it easier to review key details, monitor progress, and understand job outcomes at a glance. This improved layout provides a more intuitive experience when managing and comparing your computational workflows.

Reimplemented Onboarding Experience
We’ve reimagined the onboarding flow from the ground up to make getting...

New Features & Improvements

Python-Based Jobs
Jobs no longer have to be defined only as bash scripts. You can now create jobs using a Python script directly, making it easier to write, read, and maintain more complex logic. This is especially useful for data processing, analysis pipelines, and workflows that are already Python-centric.

More Robust File Uploading
We’ve fixed an issue where the webapp file uploader could drop files during upload. File uploads are now more reliable and robust,...

New Features & Improvements
Conda Support for Python Environments
Python environments now support conda. You can define your dependencies using an environment.yml file, making it easier to manage packages, ensure reproducibility, and align your environments with existing conda-based workflows.
Data File Browser
The data file browser has been cleaned up for easier navigation. Experiments and Projects are now easier to explore, helping you find and manage your data more efficiently.
Enhanced In...

New Features & Improvements
Clearer UX and Better Error Feedback
We’ve streamlined the user experience across the platform, with clearer messages when something goes wrong. Errors and edge cases are now explained more clearly, helping you understand what happened and how to move forward.
Folder Management: Archive, Download, and Delete
You can now manage folders more flexibly. Archiving, downloading, and deleting folders is supported, making it easier to organize your data, clean up unused st...

Clearer Error Messages for Failed Jobs
When a job fails, DECTRIS CLOUD now provides more informative and actionable error messages. This makes it easier to understand the cause of failures, troubleshoot issues, and get your workflows back on track more quickly.
Platform-Wide Stability Improvements
We’ve made multiple stability and reliability improvements across the platform. These under-the-hood enhancements reduce unexpected behavior and improve overall performance, ensuring a more robust e...