Running Bioinformatics Pipelines Cost Effectively Using MemVerge on AWS
AWS Partner Network Blog
This article discusses how MemVerge Memory Machine Cloud (MMCloud) on AWS enables running bioinformatics pipelines cost-effectively using Amazon EC2 Spot instances. It highlights key features like SpotSurfer for checkpointing and resuming interrupted instances, WaveWatcher for observability, WaveRider for dynamic rightsizing, and Nextflow integration through the nf-float plugin.
Specifically, the article covers:
- Overview of MMCloud and its key features
- Use cases:
- Dynamic resizing and optimization of resources for bioinformatics pipelines
- Hybrid HPC solution for bursting to AWS from on-premises
- Running long-running Nextflow pipelines on Spot instances
- Customer stories from Columbia University and MDI Biological Laboratory
- Conclusion on the cost-effectiveness of using MMCloud for bioinformatics on AWS
The AWS News Feed is currently looking for gold sponsors. If you want to support the AWS community and reach a large audience of AWS professionals, consider sponsoring the AWS News Feed.
Related articles
The AWS News Feed is currently looking for silver sponsors. If you want to support the AWS community and reach a large audience of AWS professionals, consider sponsoring the AWS News Feed.