SUSE and Iguazio Break the Mold by Providing an Open Source Solution for Enterprise Data Science Teams

The notions of collaborative innovation, openness and portability are driving enterprises to embrace open source technologies. Anyone can download and install Kubernetes, Jupyter, Spark, TensorFlow and Pytorch to run machine learning applications, but making these applications enterprise grade is a whole different story. Delivering enterprise grade applications involves scalability, high-performance, tuning, monitoring, security and automation of infrastructure tasks. It can take months and typically requires a large team of developers, data scientists and data engineers.

Today at KubeCon+CloudNativeCon in San Diego, SUSE demonstrated its new open, high performance data science solution powered by Iguazio. Instead of working for months until reaching production, data science teams using SUSE can now develop and deploy enterprise grade, machine learning applications applications in days, by leveraging a fully managed data science platform running over SUSE CaaS Platform.

SUSE CaaS Platform is a certified Kubernetes software distribution. It provides an enterprise-class container management solution that enables IT and DevOps professionals to more easily deploy, manage and scale container-based applications and services. Together with Iguazio, it also simplifies and accelerates machine learning pipelines. Users can:

1. Manage End-to-End Workflows
   Users manage and automate the entire workflow while tracking experiments and models running in the serving layer. The platform is integrated with pre-installed open source tools like Jupyter, Spark, TensorFlow, Pytorch and Kubeflow, all managed from a friendly UI.
2. Automate with Serverless:
   Nuclio Serverless Functions enables building, training, optimizing, and deploying models in a production-ready environment, while automating DevOps tasks.
3. Run in Real-time and at Scale:
   The platform provides fast and secure access to real-time and historical data at scale, including event-driven streaming, time series, NoSQL, SQL and files. This enable users to create real-time feature engineering based on a fast data layer.

The platform accelerates streaming, analytics, deep learning or event-driven apps across a variety of industries. For example, financial services companies use the platform to move from fraud detection to prevention, by taking sophisticated machine learning models that were built offline, and running them in real-time against fresh, scalable data.

With Iguazio’s Data Science Platform running over the SUSE CaaS Platform, enterprises work with cutting edge open source technologies while reducing application delivery cycle times and improving business agility.

Come see how it works at KubeCon+CloudNativeCon, booth S57.