Course summary¶
Congratulations on completing the Configure Execution training course! 🎉
Your journey¶
You started by adapting a pipeline's execution to different compute environments: switching software packaging technology and selecting an execution platform. Next, you learned to control resource allocations and automatically retry tasks that fail. Finally, you learned how to bundle configuration into profiles, combine them at runtime, and inspect the fully resolved configuration.
Skills acquired¶
Through this hands-on course, you've learned how to:
- Switch software packaging technology between Docker and Conda
- Select an execution platform, and understand what changes behind the scenes when you do
- Control per-process resource allocations, and automatically retry tasks that fail
- Define and combine profiles, and inspect resolved configuration with
nextflow config
You're now equipped to configure Nextflow pipelines for a range of compute environments with confidence.
Next steps to build your skills¶
Here are our top suggestions for what to do next:
- Learn to run nf-core community pipelines with Use nf-core
- Launch and monitor pipelines at scale with Scale with Seqera
- Don't just run Nextflow, write it! Become a Nextflow developer with Hello Nextflow
- Apply Nextflow to a scientific analysis use case with Nextflow for Science
Getting help¶
For help resources and community support, see the Help page.
Feedback survey¶
Before you move on, please take a minute to complete the course survey! Your feedback helps us improve our training materials for everyone.