New Features in MMCloud Jericho 3.1 Release
Date Released
Jericho 3.1 released on April 1, 2025.
Supported Clouds
MMCloud is designed to work on any cloud infrastructure. The Jericho 3.1 release supports the following clouds:
- AWS
- Google Cloud (except for HPC mode)
- Alibaba Cloud
- AWS China
- Tencent Cloud
New Features in Jericho 3.1 Release
Type | Domain | Description |
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Feature | Platform | High Performance Computing mode (HPC mode) allows an MMCloud subscriber to use the OpCenter to create (and manage) a cluster of compute nodes that execute jobs scheduled from an input queue.
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Feature | UX | System Status Dashboard, available in the web interface, allows an admin user to see the current status, in a single screen, of jobs, resources, instances, and utilization. Aggregated totals over past periods (this week, this month, and so on) are also available. If the OpCenter is used in HPC mode, information on resource utilization in clusters is shown. |
Feature | Security | Multiple LDAP and NIS server registration allows the OpCenter to provide redundant distributed directory services to ensure consistent system configuration data (such as user and host names).
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Feature | Platform | Container image caching using volume snapshots decreases the time to instantiate a worker node compared with loading the container image directly from S3 or an NFS server.
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Feature | Platform | Instance cost as a trigger for job migration avoids situations where jobs migrate to high cost instances and remain there until the jobs complete.
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Feature | Platform | Per availability zone quarantining of instance types improves global spot instance availability by restricting quarantining of spot instance types to the availability zones where those spot instances are reclaimed.
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Feature | UX | Improved Cost Summary page, available to admin users of the web interface, clarifies how cloud costs are generated and savings calculated. |
Feature | Platform | Refactoring of OpCenter software, especially with regard to data structures and data retrieval, improves performance and reduces memory usage in the OpCenter. To implement the new data structures, users upgrading to the 3.1 release from an earlier release must follow the prescribed upgrade procedure. Alternatively, users can start a new OpCenter, already running the 3.1 release, from the AWS Marketplace. |
Feature | Platform | OpCenter manages up to twenty million jobs as a result of software refactoring. Note that the total number of jobs includes running jobs, completed jobs, stopped jobs, initializing jobs, failed jobs, and so on. |