Uploaded August 2026 | Updated September 2026, 3 hours ago
Red Hat Digital Roadmap Discussion
This is an auto-generated summary of the FRCL call on 2026-08-05:
The team reviewed RHEL digital roadmap tools and committed to prototyping a unified platform for tracking.
Digital Roadmap Tool Review
The group discussed Digital Roadmap capabilities for tracking lifecycle dates and feature workflows across RHEL versions. Potential integration with Fedora accounts emerged as a way to broaden community access.
Data Integration and Visibility
The tool enables proactive monitoring of changes through dashboards and automated email reporting. Discussion focused on programmatically ingesting Fedora change data to enhance visibility across the entire stack.
Unified Roadmap Development
Leadership committed to developing a prototype that aggregates Fedora, CentOS Stream, and RHEL data into a single, unified view. This initiative aims to streamline communication across the development continuum.
Jira Epic: redhat.atlassian.net/browse/FRCL-60
Gemini AI Summary: docs.google.com/document/d/1O7y9W9Xr0UJTv6q9K4_TFJ_dgsxeJDLyjwOMBr_wn5c/edit?usp=meet_tnfm_calendar
Red Hat Digital Roadmap Discussion
This is an auto-generated summary of the FRCL call on 2026-08-05:
The team reviewed RHEL digital roadmap tools and committed to prototyping a unified platform for tracking.
Digital Roadmap Tool Review
The group discussed Digital Roadmap capabilities for tracking lifecycle dates and feature workflows across RHEL versions. Potential integration with Fedora accounts emerged as a way to broaden community access.
Data Integration and Visibility
The tool enables proactive monitoring of changes through dashboards and automated email reporting. Discussion focused on programmatically ingesting Fedora change data to enhance visibility across the entire stack.
Unified Roadmap Development
Leadership committed to developing a prototype that aggregates Fedora, CentOS Stream, and RHEL data into a single, unified view. This initiative aims to streamline communication across the development continuum.
Jira Epic: redhat.atlassian.net/browse/FRCL-60
Gemini AI Summary: docs.google.com/document/d/1O7y9W9Xr0UJTv6q9K4_TFJ_dgsxeJDLyjwOMBr_wn5c/edit?usp=meet_tnfm_calendar






![Research Days 2022: Caching Heterogeneous Stuff in Heterogeneous Places
Caching is a classic optimization technique ubiquitous both within single hosts as well as in large distributed systems like CDNs, storage systems, databases, and data center networks. Classic solutions usually involve the omnipresent Least-Recently-Used (LRU) mechanism and its derivatives. These solutions are usually workload oblivious, and changing their configuration requires expert analysis of the system and the workload.
Recent advanced caching approaches that go well beyond LRU, which are gaining popularity, are self-adjusting and exhibit improved performance in various scenarios. We are harnessing some of the underlying design concepts to present novel caching frameworks that we are currently working on. These frameworks take into account request heterogeneity, and perform proactive caching decisions (a.k.a. speculative prefetching). We will be highlighting the design of algorithms and policies that are both dynamic and self-adjusting and consider their benefits in prominent storage system use cases.
Visit the Advanced Proactive Caching for Heterogeneous Storage Systems project page[1] for more information on the project.
Speakers
Dr. Gabriel Scalosub, Ben Gurion University of the Negev, Israel
Dr. Gil Einziger, Ben Gurion University of the Negev, Israel
Conversation Leader
Ilya Kolchinsky, Research Supervisor, Red Hat
[1] https://research.redhat.com/blog/research_project/advanced-proactive-caching-for-heterogeneous-storage-systems/ Research Days 2022: Caching Heterogeneous Stuff in Heterogeneous Places](https://i.ytimg.com/vi/YOHYkfZMln0/mqdefault.jpg)



