Jun 1, 2021
How to migrate IBM Planning Analytics objects in a cloud environment
![](https://codebackend.kinsta.cloud/wp-content/uploads/2023/04/webinar1-1.png)
Please join us in the first episode of the IBM Planning Analytics with Watson (TM1) and Python webinar series.
In this webinar, we will demonstrate a live development to production migration between an IBM Planning Analytics Cloud and Local deployment using IBM Planning Analytics Workspace and Pulse.
This article is a quick teaser of what we will cover in this first episode.
IBM Planning Analytics Workspace
First, we will update a rule from a cloud environment with IBM Planning Analytics Workspace:
![](https://codebackend.kinsta.cloud/wp-content/uploads/2023/04/Cloud-1-1024x573.png)
Live Migration with Pulse
Then we will show how to migrate changes live into a cloud environment using Pulse:
![](https://codebackend.kinsta.cloud/wp-content/uploads/2023/03/pulse-dependencies-1.gif)
Ask TM1 questions of all kind
Finally, we will use the new Pulse 6 feature, the Pulse Explorer to quickly find possible bottlenecks across all servers (cloud or on-premise) and all TM1 instances:
![](https://codebackend.kinsta.cloud/wp-content/uploads/2023/03/pulse-history-second-by-second-2.gif)
Save your seat now for the next episodes:
Click the button below to find all details regarding the next episodes of the IBM Planning Analytics with Watson and Python webinar series.