DecisionBrain Optimization Server (DBOS)

Take your optimization model to the cloud! DBOS is a tool that enables both Optimization Model Developers and Application Developers who need to focus on their competencies while delegating infrastructure and architecture-related issues.

Functionalities That Allow You To Focus On Your Modeling Competencies

Monitor Real-time Executions

DBOS orchestrates multiple CPU-intensive computational jobs and provides an interactive web console to monitor and manage them: Retrieve information of past runs and replay the execution in a click.

Share CPUs and Licenses

DBOS can run any intensive computational jobs, locally or on the cloud: share your CPUs and licenses across multiple users and applications.

Deploy Locally or on the Cloud

Thanks to its light footprint DBOS supports both local (Docker) and industrial (Kubernetes/OpenShift) deployments: easily deploy on your laptop, your servers, or any cloud (IBM, AWS, Azure, etc.).

Solver-Agnostic

DBOS can be integrated with any optimization solver (e.g. IBM CPLEX, Gurobi) and any other types of analytics technology (e.g. Machine Learning, Artificial Intelligence, cognitive): confidently turn data insights into business action leveraging best-in-class technology.

DBOS Video

Take a look at the demo video to see the features that DBOS offers.

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DBOS Datasheet

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Flexible and Fully Customizable Architecture

Architecture Design for Easy Scalability

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Client: sends job requests, monitors the real-time execution, access input, output and logs

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Master: orchestrates the job execution

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Worker: executes any intensive computational jobs (Java, OPL, Python, CPLEX models)

Benchmark the Quality of Your Solutions

Benchmark Across Different Dimensions

With this functionality, you can easily benchmark your solution across:

  • Time and versions
  • Different datasets
  • Different models

Analyze the results by comparing the KPIs on the integrated charts, or by downloading the KPIs and the solutions.

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Strong Benefits for Data Science and IT Teams

OR Experts and Data Scientists

Focus on modeling competencies, rather than on IT complexities:

  • Cloud-run to share licenses and CPUs
  • Local-run with a minimal memory footprint
  • Monitoring and reply execution capabilities
  • Solver-agnostic

IT & Deployment Teams

Rely on modern technologies to quickly deliver robust solutions:

  • Modular architecture, fully customizable and highly scalable
  • Deployment on standard environments (OKD, Kubernetes)
  • Failover capabilities
  • Monitoring and reply execution capabilities
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