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Teracloud Streams 7.2.1 is Now Available

We're excited to announce the release of Teracloud Streams 7.2.1, bringing enhanced platform support, powerful new capabilities, and improved reliability for real-time data processing.

Streams 7.2.1 now fully supports Red Hat Enterprise Linux (RHEL) 10.0 or later, WebSocket support for the Data Exchange service, and a new web service backend. You can checkout the release highlights on the release page or the full set of release notes in the product documentation.

If you want to try it out, we've updated our Quick Start Edition (QSE) on Docker Hub. You can follow these steps to set up a 7.2.1 development environment.

Lastly, feel free to contact us if you have questions about the new release or are interested in a full product installer.

Python and AI Series Part 1 - Introduction to PythonOp

Teracloud Streams provides a rich set of features for applications to incorporate AI. AI can be applied at any stage of a Streams application topology. In a common pattern, a Streams application ingests and organizes massive volumes of data from diverse sources, preparing those streams for a real-time decision step. AI often powers this decision logic, such as scoring against a machine-learning model or using an LLM to generate a recommended action.

A Streams application might also apply AI earlier in the pipeline, such as, detecting objects in a video stream or converting spoken audio into text for downstream analytics.

Because Python provides access to an extensive ecosystem of AI and machine-learning libraries, Streams applications often leverage Python for these capabilities. Teracloud Streams supports several mechanisms for integrating Python into an application topology, and PythonOp is an easy-to-use feature designed for this purpose.

In the first installment of the Python and AI series, we introduce PythonOp as an easy way to achieve seamless integration with Python-based AI workflows.

Teracloud Streams Samples

If you'd like to explore ready-to-run examples of Streams applications, we have published a set of samples in our Teracloud Streams GitHub Organization. The samples repository contains a collection of Streams applications complete with code and supporting artifacts required to build and run each sample.

The collection includes a set of Examples-for-Beginners showcasing key capabilities of the Streams programming model, updated and modernized for Teracloud Streams 7.x. This set of samples has been a popular way to learn about Streams applications and to understand how specific constructs can be applied in new applications.

The samples are excellent resources to reference, but they are also useful to practice building and running applications. To build and run the applications, you will need a Teracloud Streams development environment. If you don't have one, you can set up one for free using these instructions.

Additional samples beyond Examples-for-beginners are being added, so stay tuned for upcoming blog posts to feature those and other material in our GitHub organization.

If you ever have any questions, comments or suggestions for the Teracloud Streams team, feel free to contact us.

Secure, Scalable, Supported: The Value of Upgrading to Teracloud Streams 7.2

IBM Streams 4.3, a leading-edge solution for real-time analytics, has reached its end of support, leaving organizations exposed to growing security, compliance, and operational risks—especially since it runs on the retired RHEL 7 platform. In contrast, Teracloud Streams 7.2, developed after Teracloud’s acquisition of IBM Streams, represents a major leap forward. It delivers modern-day security, compatibility with supported RHEL versions (8 and 9), and new analytics capabilities, positioning organizations to meet today’s challenges and scale into the future.

This upgrade is not just about staying current—it’s about transforming operations. Teracloud Streams 7.2 significantly reduces vulnerabilities with updated software dependencies, leverages RHEL 9’s hardened security and performance, and introduces flexible development features like native Python operators, Java 17 support, and new data exchange tools. These enhancements, combined with expanded toolkits and improved system management APIs, offer a compelling case for migrating to a more secure, agile, and future-ready platform.

Welcome to the Teracloud Streams Blog

Here you’ll find timely, relevant insights across a wide range of topics, including: application development, solution architectures, product news, feature announcements, and business considerations. Posts are authored by Teracloud Streams developers, architects, and consultants to deliver authentic, expert perspectives.

Make sure to check back frequently for new blog content. If you ever have any questions, comments, or suggestions for the Teracloud Streams team, feel free to contact us.