Red Hat NEXT! Fall 2022

Edge Computing is an opportunity to improve existing processes and implement new business use cases on the ground, right where your business happens. By collecting, processing, and acting on data locally, it enables use cases that would be impractical to implement up in the cloud or tethered to the internet. By replacing purpose-built appliances with open software platforms on commercial off-the-shelf hardware, it enables you to become software-defined and increase the velocity with which you innovate.

If only Edge Computing was as easy to operationalize and as familiar to your development and operations teams as cloud! Well… let me show how to achieve those goals with open source today and which technologies are emerging over the coming months.

WebAssembly server-side applications—known for their small resource footprints, fast initialization speed, cross-platform portability, and safe software-defined isolation—are being heralded as “the next big thing” in cloud computing. In this talk, we define what server-side WebAssembly (WASM/WASI) software is, how it is different from the traditional cloud applications, and how server-side WebAssembly maps onto existing Red Hat infrastructure, platforms, and use-cases.

Ray is rapidly gaining momentum as a parallel computing platform that provides a scale-out cluster model inspired by tools such as Spark and Flink, yet also supports a lightweight scale-to-zero Serverless style workflow designed natively for modern container platforms in the Kubernetes ecosystem.

Ray implements a constellation of tools that support data science devops activities ranging from ETL and feature extraction, model training, ML pipelines, through serverless inferencing.

In this talk, Erik will describe ongoing projects at Emerging Technologies to deploy Ray on OpenShift, integrate it with Open Data Hub and evaluate Ray’s components for Data Science Workflows. He will demonstrate Ray in action to run an end to end data science project on OpenShift. The audience will learn how to leverage the capabilities of Ray and OpenShift to power their cloud native Data Science workflows.

For a number of years, most computation happened on central CPUs in servers or on workstations. Over the past few years, that has started to change and where computation is occurring is rapidly evolving. This session will explore how computational infrastructure is changing and how software will need to adapt for the future ahead.

Through advancements in Infrastructure As Code and GitOps based practices, we no longer need to love the platform that we are running our services on. This session will dive into these different methodologies, showing what is possible now with Kubernetes and Container management, and what will be possible in the future, allowing for the existence of constantly evolving platforms that are always customer ready.

While solutions for data distribution and movement at the hybrid cloud and at the edge exist, these are neither ubiquitous nor interoperable. In this talk, Yehuda will go over the different pieces that a complete solution would be composed of, and how such a system would operate.

Do you want to help combat climate change? Are you concerned with the sustainability impact of your Kubernetes clusters? Then join our efforts to manage energy efficiency on Kubernetes clusters. We discuss using cloud-native patterns, observing, optimizing, and executing, to improve cloud efficiency in sustainable architecture. Core to this architecture is Project Kepler (Kubernetes-based Efficient Power Level Exporter) and its integration with Kubernetes ecosystems. By leveraging eBPF programs and other system libraries, Kepler probes the full spectrum of energy, performance, and resource measurements to enable energy-relevant observability and further empower advanced sustainable management on clusters. Kepler is an open system, it can be extended to cloud-native ecosystems such as energy-efficient workload scheduling, energy-aware autoscaling, and frequency tuning.

Two new paradigms have transpired over the past year or more, zero trust and supply chain security. In this session, Luke Hinds will talk about the current and future work of the emerging technologies team, famed for creating disruptive technologies such as sigstore.

Networking in the Linux kernel is being disrupted by a technology called eBPF. It allows for the kernel to be safely extended to provide, among many benefits, better networking performance and observability. In this talk, we’ll explore how we plan on using eBPF to benefit customers, the challenges in using eBPF in production, and the tooling we’re developing to help Red Hat and our customers be successful using eBPF.