DOC Optimization Server
Seamlessly run multiple CPU intensive computational jobs locally or remotely and provides administrative tools to easily monitor and manage them.
Easy to Monitor
Interactive Web Console
Drag-and-Drop: Allows for quick job creation, from task definition to model and parameter inputs. No code required. Monitor & Replay Job Execution: Immediately track KPIs, progresses, and logs in real-time. Download logs and retrieve input conditions.
Easy to Extend
Flexible and Fully Customizable
DBOS is based on a modular architecture where jobs from a client can be sent to one or more workers. It comes with embedded out-of-the-box CPLEX, CPO, and OPL workers, but users also have the flexibility to design their own custom workers. Support for customer workers in other programming languages (e.g. Python, C++) is provided. Custom Workers Define and implement task(s) with:
- Your Optimization Code
- Your Machine Learning Code
- Any Kind of CPU Intensive Computation
Easy to Integrate
First-class Support for Multiple Frameworks and Languages
To make it easy for development teams to integrate existing applications with DBOS, we designed easy to call REST APIs and connectors for a wide range of programming languages.
Easy to Deploy
DBOS leverages state-of-the-art technologies. It easily supports many deployment options both locally and within Cloud infrastructures with full Kubernetes and OpenShift compatibilities and Docker Compose.
- Cluster with OpenShift
- Easy scalability
- Easy automation
- Resource monitoring
- Local with Docker Compose
- Quick and simple
- Template available
DOC Optimization Server Data Sheet
For more details, check out our DOC Optimization Server Data Sheet. April 2019 | PDF
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