Teracloud Streams Roadmap

Also known as Teracloud Streams with IBM 7.2, this release represents our strategic platform built to leverage modern technologies and practices. It supports RHEL 8 and 9 with native binaries, optimized platform performance, and full integration with OpenJDK 17. With a focus on long-term support and complete platform security integration, this release is designed for forward-looking enterprises.

New functionalities include the addition of a Python operator, a full-function REST API for administration, and a new job data service for accessing application data via REST. Improved data access capabilities, enhanced tooling, and a refined development experience provide significant value for modern workloads.

Migration to this platform requires some planning, as applications may need updates to ensure compatibility with RHEL 8 and 9. Native applications may require rebuilding, and additional validation steps will be necessary for production deployment. Thorough testing should be prioritized to minimize disruption.

This platform is best suited for projects targeting deployment in Q1 or Q2 of 2025, especially for organizations with resources available for application updates. It’s ideal for use cases requiring modern features or for teams preferring a single migration rather than a staged approach.

To accelerate innovation and knowledge sharing, we plan to introduce a centralized open-source ecosystem. This platform will empower the Streams community to contribute, discover, and maintain production-ready toolkits and reference implementations. A dedicated discussion forum will connect developers, administrators, and users, fostering collaboration through best practice sharing, problem-solving, and the evolution of streaming analytics solutions.

Building on the initial VS Code integration, this milestone will deliver a comprehensive development environment for Streams applications. Advanced features will include intelligent code assistance and the ability to visualize application graphs prior to submission, enabling verification of data flow patterns. Developers will be able to build and test Streams applications locally with a standalone, containerized installation, eliminating the need for an external Streams setup. This self-contained approach provides a complete environment for development and testing.

Streams is set to evolve from manual scaling to intelligent, autonomous resource optimization. Advanced monitoring and analytics will enable automatic scaling decisions, allowing real-time responses to changing data volumes and processing demands. This capability will ensure optimal resource utilization while maintaining both performance and cost efficiency across diverse workloads.