During the recent Mars 2020 Perseverance Mission, JPL leveraged their new clustered environment to produce trajectory correction calculations and entry, descent and landing calculations for the spacecraft carrying the Mars rover, Perseverance, and the small robotic helicopter, Ingenuity. In this case study, they leveraged Bright Edge, which is a feature of Bright Cluster Manager that allows organizations to deploy, and centrally manage, computing resources in distributed locations as a single clustered infrastructure from a single interface, to process flight trajectory and landing calculations at each location. Spacecraft telemetry data was plugged into their models and used to monitor where the spacecraft was in reference to their trajectory flight path model. This data was used to determine trajectory correction maneuvers, or course corrections, so that the spacecraft would maintain an ideal flight path on its way to Mars. During the months-long flight time, JPL’s environment was responsible for supporting trajectory correction and entry descent and landing calculations that proved critical to the mission’s success.
With the flexibility and ease of use provided by Bright Cluster Manager, JPL has access to a cluster management platform that would enable them to manage the growth of this environment with their current personnel. This inherent flexibility meshes well with JPL’s roadmap, one that includes frequent hardware refreshes over the next decade. Bright Cluster Manager’s vendor agnostic platform will keep up with new hardware, support continued growth, and easily manage a continuous operation of the latest HPC services in current and future iterations of the environment.
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Bright Edge is a feature of Bright Cluster Manager that allows organizations to deploy and centrally manage computing resources in distributed locations as a single clustered infrastructure, from a single interface. The distributed computing nodes deployed and managed by Bright Cluster Manager can be imaged to support any workload, re-imaged on the fly to support different workloads when desired, and are monitored to ensure that you always know precisely what’s going on. And, when you need to add more computing capacity at any location, bringing additional nodes online is quick and easy.