What is IBM Streaming Analytics?

IBM Streaming Analytics for IBM Cloud is an advanced analytics platform allowing user-developed applications to quickly ingest, analyze, and correlate information as it arrives from a wide variety of real-time data sources. Analysis of structured and unstructured streaming data like text, video, audio, geospatial, and sensor data helps organizations spot opportunities and risks to make decisions in near real-time.

Feature changes in Dallas

With the availability of the more advanced container plans in all current Streaming Analytics regions, the virtual machine-based plans have been deprecated already. As of End of Marketing December 11, 2018, users were no longer be able to create new instances using VM plans. Existing instances under those plans continue to run.

This notice is to announce the End of Service for existing instances of Streaming Analytics under the virtual machine-based plans in Dallas, TX. Users must begin the process of migrating applications to the new container plans immediately.

End-of-service date of Dallas-based VM instances: November 20, 2019

Container plans provide a broader choice of regions for deployment, improved capabilities, and identical pricing to VM plans. A trial plan for containers is also available in all regions. In addition to this, container-plan instances will experience a lower level of planned outages as functional and maintenance updates are applied.

Getting started with IBM Streaming Analytics

To get started with services in any region:

1. Visit the Streaming Analytics page in the IBM Cloud catalog and create a Streams instance.
2. Run one of our Sample Applications or develop and run your own Streams app by following our Streaming Analytics Development Guide.
3. To estimate costs for your workload, use the Estimator and select your plan and target region for deployment.

How to move from VM- to container-based Streaming Analytics

Replace your instance

• Create a new instance of Streaming Analytics from the IBM Cloud Catalog. 

Development of Streams applications

• Watson Studio
  • Python Notebook: Replace the Streams service associated with your Project. Rerun the notebook to build and submit the job.
  • Streams flows: Replace the Streams service associated with your Project. Resubmit the flow to build and submit the job.
• Local development using Streams studio
  • Recompile your applications using RedHat 7 or CentOS 7.
  • See the Development Guide for more information on setting up a new development environment.
• Local development using Atom or VSC (Beta)
  • Use Atom or Visual Studio Code to build and submit your applications.

Manage your instance

• Custom Service API use
  • Utilize the V2 Service API to manage your instance. Note, the V2 API uses IAM authentication.