{"__v":4,"_id":"5624f9e323053b2300f5960e","api":{"auth":"required","params":[],"results":{"codes":[]},"settings":"","url":""},"body":"## What is ScienceOps?\n\nScienceOps is a platform for deploying, managing and scaling predictive models and advanced decision-making algorithms into production.  The platform is designed for production-level use-cases and utilizes a distributed architecture to allocate and optimize requests to models across the cluster.\n\n## Architecture\n\nOnce models are deployed to the platform, they can be integrated into production applications, receiving API requests and sending predictions back to customer-facing applications, internal dashboards, mobile applications, and others.","category":"5624f9e023053b2300f595fa","createdAt":"2015-06-05T18:42:11.059Z","excerpt":"","githubsync":"","hidden":false,"isReference":false,"link_external":false,"link_url":"","order":0,"parentDoc":null,"project":"54e3e8351e51932d006abb83","slug":"overview","sync_unique":"","title":"Overview","type":"basic","updates":[],"user":"54bde2bb445a490c00f41385","version":"5624f9df23053b2300f595f9","childrenPages":[]}
## What is ScienceOps? ScienceOps is a platform for deploying, managing and scaling predictive models and advanced decision-making algorithms into production. The platform is designed for production-level use-cases and utilizes a distributed architecture to allocate and optimize requests to models across the cluster. ## Architecture Once models are deployed to the platform, they can be integrated into production applications, receiving API requests and sending predictions back to customer-facing applications, internal dashboards, mobile applications, and others.