New Features in MMCloud 1.1 Release

Release Date

Released on 12-01-2022

Supported Clouds

MMCloud is designed to work on any cloud infrastructure. Release 1.1 supports the following clouds:

New Features


  • Self-service license registration via the MMCloud license portal
  • MMCloud CLI for submitting and managing workloads, and for maintaining the MMCloud platform
    • One-click download and installation of CLI binary for Linux, macOS, or Windows clients
    • Web-based console for invoking CLI commands without needing to download the CLI binary
  • User and group management — add, update, or delete users or groups
  • Global login session (eliminates per job login)
  • On-line MMCloud software upgrade using CLI commands
    • Synchronization of CLI client version with MMCloud version
  • Support for multiple data volume types, including local file system mount, EBS volume, and remote NFS mount

Cloud Resource Management

  • Per job virtual machine (VM) allocation policy
  • Customizable VM allocation policy, for example, try Spot Instance first, then On-demand instance
  • Price limits for allocating Spot Instances
  • Downloadable usage and cost reports


  • Extra security group attached per job
  • Limited authority for IAM roles to provide job insulation
  • Validation of important CLI commands such as "float submit job"
  • Double confirmation on critical CLI commands, for example, when upgrading software or canceling jobs
  • Selection of virtual private cloud (VPC) in which to deploy MMCloud (not limited to default VPC)

Container Images

  • Built-in library of container images
  • Image pull from popular container registries, such as DockerHub, GitHub Container Registry, (public repositories only), and Amazon Elastic Container Registry (public repositories only)
  • Image upload from local server

Workload Management

  • Runtime service configuration to customize execution environment
  • Pre-defined environment variables for inclusion in job scripts
  • Detailed information on running jobs available using CLI
  • Real-time metrics for running jobs
  • Autosave of stdout and stderr logs
  • Customizable tags for each job, for example, for charge-back
  • Port mapping between container and container host for interactive sessions
  • Job migration between different VM configurations
  • Automatic job migration for Spot Instances
  • Support for Cromwell workflow manager
  • Customizable filters to expedite job search
  • Archival of completed jobs