UbiOps

About UbiOps

UbiOps is an advanced platform that helps companies to deploy and serve their ML/AI code of data-driven applications. It manages the containerisation of code, helps in deploying the code as a microservice, requests its handling and automates scaling. UbiOps allows users to transform their Python and R models into live web services, which they can use at any time from anywhere. Code can be deployed using UbiOps’ browser-based UI, Client Library or UbiOps, or with its API directly. Developers can also include any external artefact, library or other code dependencies in the deployment folder. The platform also manages resource allocation, monitoring, security and scaling of the product. It promotes asynchronous and low-latency synchronous batch requests. UbiOps allows users to create multiple deployments in a sequence and run them accordingly. They can even create deployments for prediction, data transformation and pre/post-processing and put them into any sequence. It also provides different templates for Gitlab Pipelines and Github Actions to match developers’ CI/CD processes.