{"_id":"59a436cfef7eec00196fa80c","project":"55faf11ba62ba1170021a9a7","initVersion":{"_id":"55faf11ba62ba1170021a9aa","version":"1.0"},"user":{"_id":"5613e4f8fdd08f2b00437620","username":"","name":"Emile Young"},"__v":0,"createdAt":"2017-08-28T15:29:19.617Z","changelog":[],"body":"##Support for Amazon Web Services Spot Instances\n\nSeven Bridges has introduced support for Spot instances on the Amazon Web Services (AWS) deploy of the Cancer Genomics Cloud.  Spot instance support can be selected as a default for projects and and an option for each task execution.  By selecting a spot instance execution costs can be dramatically reduced.  Our testing indicates an execution cost savings of over 75% on common workflows.\n\nDue to the nature of how AWS handles Spot instances, they can be interrupted while tasks are running. If a Spot instance is interrupted, Seven Bridges’ job retry functionality will automatically restart interrupted and remaining unfinished jobs on an On-Demand instance to prevent further interruptions.  Such an interruption may impact the cost savings from using a Spot instance and can result in a longer overall runtime, but the reliability of task execution is unaffected.\n\nFor more information see [blog post](https://www.sevenbridges.com/spot-instances-cost-reduction/) and the feature [documentation](doc:about-spot-instances).\n\n##SBFS [beta release]\n\nSBFS is a command line tool which enables interaction with CGC project files that are mounted as a local file system.\n\nUse SBFS to make project files available on a local file system and thus as accessible as any other locally available file. This eliminates the need for downloading complete files to a local machine, which is especially useful when working with large files exceeding the size of a local disk. With SBFS, parts of a file are accessible without necessitating a complete file download and users can perform interactive analyses on a local machine (or server instance) without needing to bring their tool to the CGC. \n\nSBFS is available for Linux and macOS operating systems, and beta version is available for download from the new Data tools page.\n\nLearn more from [SBFS documentation](doc:about-sbfs).","slug":"release-note-082817","title":"Release note 08.28.17"}

Release note 08.28.17


##Support for Amazon Web Services Spot Instances Seven Bridges has introduced support for Spot instances on the Amazon Web Services (AWS) deploy of the Cancer Genomics Cloud. Spot instance support can be selected as a default for projects and and an option for each task execution. By selecting a spot instance execution costs can be dramatically reduced. Our testing indicates an execution cost savings of over 75% on common workflows. Due to the nature of how AWS handles Spot instances, they can be interrupted while tasks are running. If a Spot instance is interrupted, Seven Bridges’ job retry functionality will automatically restart interrupted and remaining unfinished jobs on an On-Demand instance to prevent further interruptions. Such an interruption may impact the cost savings from using a Spot instance and can result in a longer overall runtime, but the reliability of task execution is unaffected. For more information see [blog post](https://www.sevenbridges.com/spot-instances-cost-reduction/) and the feature [documentation](doc:about-spot-instances). ##SBFS [beta release] SBFS is a command line tool which enables interaction with CGC project files that are mounted as a local file system. Use SBFS to make project files available on a local file system and thus as accessible as any other locally available file. This eliminates the need for downloading complete files to a local machine, which is especially useful when working with large files exceeding the size of a local disk. With SBFS, parts of a file are accessible without necessitating a complete file download and users can perform interactive analyses on a local machine (or server instance) without needing to bring their tool to the CGC. SBFS is available for Linux and macOS operating systems, and beta version is available for download from the new Data tools page. Learn more from [SBFS documentation](doc:about-sbfs).