Projects
The Red Hat Emerging Technologies group is responsible for identifying and developing emerging technologies to inform and impact Red Hat’s portfolio and long term technology strategy. These are the latest projects that our group is working on.
bpfman
bpfman is a system daemon aimed at simplifying the deployment and management of eBPF programs. It's goal is to ...
Device Management service
A frequent question from customers and Red Hat field teams interested in our products for the device edge (RHEL 4 ...
Nexodus
This SaaS addresses IP connectivity across hybrid environments: public clouds, private data centers, and Edge. ...
ROSA – Data Analysis Models
Machine learning models for churn and revenue prediction.
Project Engagement:
GitHub: ...
Aspen social graph analysis
Understand changes in strategic open source ecosystems and identify new strategic ecosystems
NVIDIA Jetson Orin Device Enablement
Working with the RHEL team to enable Red Hat Enterprise Linux to support Orin platforms and improve overall ...
Expanded Support of OTEL Collector
Distributed Tracing team has added Jiras for expanding support for OpenTelemetry Collector as a standalone ...
Out of Tree Driver Automation for Edge Devices
Automate the production of development RPMs for the out of tree drivers provided by NVIDIA for the Orin product ...
Edge Observability Validated Patterns
Collaborating across multiple teams to generate automated deployment architectures and best practices for ...
Next Gen Compute Architecture
Invest in an open source fabric manager, that could later be productized by Red Hat, to enable multiple hardware ...
EKHO – Extending Kernel Hardware Offload
Use Netlink and BPF to enable hardware offload from Linux kernel via user space helpers. Provide a notification ...
Device Management UI
Web UI frontend for Device Management API. Should be integrate-able as a UI app in ACM (or c.rh.c.) frontend container.
Jumpstarter: Hardware-in-the-Loop Testing
In modern cloud-based development, we can provide completely automated testing coverage. Edge software and Edge ...
RISC-V
Invest in upstream communities and projects that are defining standards similar to the ARM SystemReady standards ...
Confidential Compute for ML Workloads in OpenShift
The goal of this project is to understand the technical requirements and any gaps around being able to run ML ...
Device Management agent
Implement a device management agent based on Transmission / OpenShift's Machine Config Daemon implementing the ...
HNS – Hybrid Network Stack
Hybrid Networking Stack (HNS) is a new approach to high performance Cloud Native networking which uses in-Kernel ...
Kepler
This project uses efficient eBPF probers to monitor various perf counters, kernel scheduling parameters, and ...
Ansible Automation Hub Sigstore Integration
The Ansible Automation Hub Sigstore Integration project has three main objectives:
1. Implement a new type of ...
Keylime operator on OpenShift
Keylime is already a supported project in RHEL, but for OpenShift there are some complications and bootstrapping ...
Sigstore – RH Secure Sign
As a fully supported distribution of the upstream Sigstore, SecureSign simplifies some supply chain security best ...
ZeroTrust – SPIRE+Keylime integration
Create a hardware root-of-trust attestation capabilities of Keylime as a root-of-trust option for SPIFFE/SPIRE
Wasm and WASI on Openshift
Compiled Wasm code is packaged as a scratch OCI container image and deployed on OpenShift (MicroShift) or Podman ...
Developer Hub – Backstage and Janus
Developer Hub provides a catalog of all available software services and components within a company. Each service ...
AAP Resource Operator enhancements
Ansible Automation platform should have a more kubernetes friendly way of interacting with it especially when the ...
PEAKS – Power Efficiency Aware Kubernetes Scheduler
This project is another continuation of Kepler focusing on energy efficiency workload scheduling. This is through ...
Open ML-Ops Stacks – VectorDB
Study some open vector-db approaches - these will include things like postgressql+vector plugin but also purpose ...
generative AI for CVE backports
Use generative AI code generation to automatically port CVE patches across multiple versions of Red Hat Products. ...
Open MLOps Stacks – Data Labeling
The team has started to work on the MLOps stack for Data Labeling. Both traditional machine learning training, and ...
ShadowBot.AI
Instant access to the company's internal data & documentation via a LLM-assisted chatbot that is integrated into ...
HCS – Red Hat Subscription Delivery
Increase productivity of Global Business Delivery (GBD) and increase revenue from Red Hat product subscriptions
Codeflare Stack Integration to ODH/RHODS
Enable machine learning for AI Developers with faster time to value.
This project carries into the completed Ray ...
ROSA – Foundation Models Generative AI for Doc Search
A useful application of foundation models, or large language models (LLMs), is documentation search. LLMs can ...
