By Stephen Hussey 2 min read
September 17, 2019

What is IBM Streaming Analytics?

IBM Streaming Analytics for IBM Cloud is an advanced analytic 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 the United Kingdom

With the availability of the more advanced container plans in all current Streams regions, the virtual machine-based plans in the United Kingdom have been deprecated already. As of End of Marketing on December 11, 2018, users were no longer be able to create new instances using virtual machine (VM) plans. Existing instances 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 the United Kingdom. Users must begin the process of migrating applications to the new container plans immediately.

  • End-of-service date of UK-based VM instances: October 17, 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, follow these steps:

  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 cost calculator and select your country for local currency rates.

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

Replace your instance

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):

Manage your instance

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

Learn more

Please see the IBM Streaming Analytics for IBM Cloud page for more information.

Categories

Analytics  |  Cloud  |  Data science  | 
Stephen Hussey
Streaming Analytics Offering Manager

More from Analytics
September 19, 2023

Data science vs data analytics: Unpacking the differences

5 min read - Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Data science is an area of expertise that combines many disciplines such as mathematics, computer science, software engineering and statistics. It focuses on data collection and management of large-scale structured and unstructured data for various academic and business applications. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to…

September 6, 2023

Financial planning & budgeting: Navigating the Budgeting Paradox

5 min read - Budgeting, an essential pillar of financial planning for organizations, often presents a unique dilemma known as the “Budgeting Paradox.” Ideally, a budget should give the most accurate and timely idea of anticipated revenues and expenses. However, the traditional budgeting process, in its pursuit of precision and consensus, can take several months. By the time the budget is finalized and approved, it might already be outdated.In today's rapid pace of change and unpredictability, the conventional budgeting process is coming under scrutiny.It's…

August 28, 2023

How Macmillan Publishers authored success using IBM Cognos Analytics

5 min read - Macmillan Publishers is a global publishing company and one of the “Big Five” English language publishers. If you're a reader, chances are good you've read a book from Macmillan. They published many perennial favorites including Kristin Hannah’s The Nightingale, Bill Martin’s Brown Bear, Brown Bear, what do you see? and some of the more recent bestsellers such as The Silent Patient by Alex Michaelides, Identity by Nora Roberts and Razorblade Tears by S. A. Cosby. It’s no wonder then that Macmillan…

August 11, 2023

MLOps and the evolution of data science

7 min read - The advancement of computing power over recent decades has led to an explosion of digital data, from traffic cameras monitoring commuter habits to smart refrigerators revealing how and when the average family eats. Both computer scientists and business leaders have taken note of the potential of the data. The information can deepen our understanding of how our world works—and help create better and “smarter” products. Machine learning (ML), a subset of artificial intelligence (AI), is an important piece of data-driven…