Description
Learn how to develop innovative cloud-native apps using the tools and runtimes of your choice. Modernize traditional applications to run integrated with those new apps. IBM Cloud Pak for Applications offers a complete, end-to-end environment to speed up development of apps built for Kubernetes and access cloud services to enhance innovation, reduce costs and simplify operations β all that while meeting the technology standards and policies of your choice .
Description
At the webinar, we will discuss approaches to supporting cloud hybrid infrastructure and applications, as well as tools for automating deployment and resolving emerging incidents in container environments.
Our story will be built around the capabilities of the IBM Cloud Pak for MultiCloud Management solution.
Description
Hit the ground running with IBM Cloud by deploying highly available apps in Docker containers that run in OpenShift and Kubernetes clusters. Containers are a standard way to package apps and all their dependencies so you can seamlessly move the apps between environments. Unlike virtual machines, containers do not include an operating system - only the app code, runtime, system tools, libraries, and settings are packaged within containers. Thus containers are more lightweight, portable, and efficient than virtual machines.
Description
A webinar with lectures and practical tasks will give participants the opportunity to understand and practically try the capabilities of DataOps provided by AutoAI and the Watson Machine Learning service.
Description
How to create a decision-making service from scratch in the IBM Rule Designer environment in 20 minutes. Using IBM ODM on Cloud when working with decision services.
Description
Webinar with lectures and practical tasks on IBM Watson Discovery. IBM Watson Discovery is an AI-powered search technology that extracts insights from unstructured data. Using the latest advances in machine learning and natural language processing, Watson Discovery makes it easy for companies to load and analyze data without the need for advanced data science knowledge. * The webinar will be held in English!